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1. Open Problems in (Hyper)Graph Decomposition

Author

Ajwani, Deepak, Bisseling, Rob H., Casel, Katrin, Çatalyürek, Ümit V., Chevalier, Cédric, Chudigiewitsch, Florian, Faraj, Marcelo Fonseca, Fellows, Michael, Gottesbüren, Lars, Heuer, Tobias, Karypis, George, Kaya, Kamer, Lacki, Jakub, Langguth, Johannes, Li, Xiaoye Sherry, Mayer, Ruben, Meintrup, Johannes, Mizutani, Yosuke, Pellegrini, François, Petrini, Fabrizio, Rosamond, Frances, Safro, Ilya, Schlag, Sebastian, Schulz, Christian, Sharma, Roohani, Strash, Darren, Sullivan, Blair D., Uçar, Bora, and Yzelman, Albert-Jan

Subjects
Computer Science - Data Structures and Algorithms
Abstract

Large networks are useful in a wide range of applications. Sometimes problem instances are composed of billions of entities. Decomposing and analyzing these structures helps us gain new insights about our surroundings. Even if the final application concerns a different problem (such as traversal, finding paths, trees, and flows), decomposing large graphs is often an important subproblem for complexity reduction or parallelization. This report is a summary of discussions that happened at Dagstuhl seminar 23331 on "Recent Trends in Graph Decomposition" and presents currently open problems and future directions in the area of (hyper)graph decomposition.

Published
2023

2. Detecting resonance of radio-frequency cavities using fast direct integral equation solvers and augmented Bayesian optimization

Author

Liu, Yang, Luo, Tianhuan, Rani, Aman, Luo, Hengrui, and Li, Xiaoye Sherry

Subjects
Physics - Accelerator Physics, Physics - Computational Physics
Abstract

This paper presents a computationally efficient framework for identifying resonance modes of 3D radio-frequency (RF) cavities with damping waveguide ports. The proposed framework relies on surface integral equation (IE) formulations to convert the task of resonance detection to the task of finding resonance frequencies at which the lowest few eigenvalues of the system matrix is close to zero. For the linear eigenvalue problem \rev{with a fixed frequency}, we propose leveraging fast direct solvers to efficiently invert the system matrix; for the frequency search problem, we develop a hybrid optimization algorithm that combines Bayesian optimization with down-hill simplex optimization. The proposed IE-based resonance detection framework (IERD) has been applied to detection of high-order resonance modes (HOMs) of realistic accelerator RF cavities to demonstrate its efficiency and accuracy.

Published
2023

3. gSoFa: Scalable Sparse Symbolic LU Factorization on GPUs

Author

Gaihre, Anil, Li, Xiaoye Sherry, and Liu, Hang

Subjects
Computer Software, Distributed Computing, Communications Technologies
Abstract

Decomposing a matrix $\mathbf {A}$A into a lower matrix $\mathbf {L}$L and an upper matrix $\mathbf {U}$U, which is also known as LU decomposition, is an essential operation in numerical linear algebra. For a sparse matrix, LU decomposition often introduces more nonzero entries in the $\mathbf {L}$L and $\mathbf {U}$U factors than in the original matrix. A symbolic factorization step is needed to identify the nonzero structures of $\mathbf {L}$L and $\mathbf {U}$U matrices. Attracted by the enormous potentials of the Graphics Processing Units (GPUs), an array of efforts have surged to deploy various LU factorization steps except for the symbolic factorization, to the best of our knowledge, on GPUs. This article introduces gSoFa, the first GPU-based symbolic factorization design with the following three optimizations to enable scalable LU symbolic factorization for nonsymmetric pattern sparse matrices on GPUs. First, we introduce a novel fine-grained parallel symbolic factorization algorithm that is well suited for the Single Instruction Multiple Thread (SIMT) architecture of GPUs. Second, we tailor supernode detection into a SIMT friendly process and strive to balance the workload, minimize the communication and saturate the GPU computing resources during supernode detection. Third, we introduce a three-pronged optimization to reduce the excessive space consumption problem faced by multi-source concurrent symbolic factorization. Taken together, gSoFa achieves up to 31× speedup from 1 to 44 Summit nodes (6 to 264 GPUs) and outperforms the state-of-the-art CPU project, on average, by 5×. Notably, gSoFa also achieves up to 47 percent of the peak memory throughput of a V100 GPU in the Summit Supercomputer.

Published
2022

4. Resiliency in Numerical Algorithm Design for Extreme Scale Simulations

Author

Agullo, Emmanuel, Altenbernd, Mirco, Anzt, Hartwig, Bautista-Gomez, Leonardo, Benacchio, Tommaso, Bonaventura, Luca, Bungartz, Hans-Joachim, Chatterjee, Sanjay, Ciorba, Florina M., DeBardeleben, Nathan, Drzisga, Daniel, Eibl, Sebastian, Engelmann, Christian, Gansterer, Wilfried N., Giraud, Luc, Goeddeke, Dominik, Heisig, Marco, Jezequel, Fabienne, Kohl, Nils, Li, Xiaoye Sherry, Lion, Romain, Mehl, Miriam, Mycek, Paul, Obersteiner, Michael, Quintana-Orti, Enrique S., Rizzi, Francesco, Ruede, Ulrich, Schulz, Martin, Fung, Fred, Speck, Robert, Stals, Linda, Teranishi, Keita, Thibault, Samuel, Thoennes, Dominik, Wagner, Andreas, and Wohlmuth, Barbara

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, D.4.5, G.4, G.1, D.4.4
Abstract

This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by all the authors. Naive versions of conventional resilience techniques will not scale to the exascale regime: with a main memory footprint of tens of Petabytes, synchronously writing checkpoint data all the way to background storage at frequent intervals will create intolerable overheads in runtime and energy consumption. Forecasts show that the mean time between failures could be lower than the time to recover from such a checkpoint, so that large calculations at scale might not make any progress if robust alternatives are not investigated. More advanced resilience techniques must be devised. The key may lie in exploiting both advanced system features as well as specific application knowledge. Research will face two essential questions: (1) what are the reliability requirements for a particular computation and (2) how do we best design the algorithms and software to meet these requirements? One avenue would be to refine and improve on system- or application-level checkpointing and rollback strategies in the case an error is detected. Developers might use fault notification interfaces and flexible runtime systems to respond to node failures in an application-dependent fashion. Novel numerical algorithms or more stochastic computational approaches may be required to meet accuracy requirements in the face of undetectable soft errors. The goal of this Dagstuhl Seminar was to bring together a diverse group of scientists with expertise in exascale computing to discuss novel ways to make applications resilient against detected and undetected faults. In particular, participants explored the role that algorithms and applications play in the holistic approach needed to tackle this challenge., Comment: 45 pages, 3 figures, submitted to The International Journal of High Performance Computing Applications

Published
2020

5. Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations

Author

Liu, Yang, Ghysels, Pieter, Claus, Lisa, and Li, Xiaoye Sherry

Subjects
Computer Science - Mathematical Software, Computer Science - Computational Engineering, Finance, and Science, 15A23, 65F50, 65R10, 65R20
Abstract

We present a fast and approximate multifrontal solver for large-scale sparse linear systems arising from finite-difference, finite-volume or finite-element discretization of high-frequency wave equations. The proposed solver leverages the butterfly algorithm and its hierarchical matrix extension for compressing and factorizing large frontal matrices via graph-distance guided entry evaluation or randomized matrix-vector multiplication-based schemes. Complexity analysis and numerical experiments demonstrate $\mathcal{O}(N\log^2 N)$ computation and $\mathcal{O}(N)$ memory complexity when applied to an $N\times N$ sparse system arising from 3D high-frequency Helmholtz and Maxwell problems.

Published
2020
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6. Butterfly factorization via randomized matrix-vector multiplications

Author

Liu, Yang, Xing, Xin, Guo, Han, Michielssen, Eric, Ghysels, Pieter, and Li, Xiaoye Sherry

Subjects
Mathematics - Numerical Analysis, Computer Science - Mathematical Software
Abstract

This paper presents an adaptive randomized algorithm for computing the butterfly factorization of a $m\times n$ matrix with $m\approx n$ provided that both the matrix and its transpose can be rapidly applied to arbitrary vectors. The resulting factorization is composed of $O(\log n)$ sparse factors, each containing $O(n)$ nonzero entries. The factorization can be attained using $O(n^{3/2}\log n)$ computation and $O(n\log n)$ memory resources. The proposed algorithm applies to matrices with strong and weak admissibility conditions arising from surface integral equation solvers with a rigorous error bound, and is implemented in parallel.

Published
2020

7. Butterfly Factorization Via Randomized Matrix-Vector Multiplications

Author

Liu, Yang, Xing, Xin, Guo, Han, Michielssen, Eric, Ghysels, Pieter, and Li, Xiaoye Sherry

Subjects
butterfly, randomized algorithm, matvec, direct solver, fast algorithm, numerical linear algebra, math.NA, cs.MS, cs.NA, Applied Mathematics, Numerical and Computational Mathematics, Computation Theory and Mathematics, Numerical & Computational Mathematics
Abstract

This paper presents an adaptive randomized algorithm for computing the butterfly factorization of an m × n matrix with m ≈ n provided that both the matrix and its transpose can be rapidly applied to arbitrary vectors. The resulting factorization is composed of O(log n) sparse factors, each containing O(n) nonzero entries. The factorization can be attained using O(n3/2 log n) computation and O(n log n) memory resources. The proposed algorithm can be implemented in parallel and can apply to matrices with strong or weak admissibility conditions arising from surface integral equation solvers as well as multi-frontal-based finite-difference, finite-element, or finite-volume solvers. A distributed-memory parallel implementation of the algorithm demonstrates excellent scaling behavior.

Published
2021

8. Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations

Author

Liu, Yang, Ghysels, Pieter, Claus, Lisa, and Li, Xiaoye Sherry

Subjects
Applied Mathematics, Numerical and Computational Mathematics, Mathematical Sciences, sparse direct solver, multifrontal method, butterfly algorithm, randomized algorithm, high-frequency wave equations, Maxwell equation, Helmholtz equation, Poisson equation, cs.MS, cs.CE, 15A23, 65F50, 65R10, 65R20, Computation Theory and Mathematics, Numerical & Computational Mathematics, Applied mathematics, Numerical and computational mathematics
Abstract

We present a fast and approximate multifrontal solver for large-scale sparse linear systems arising from finite-difference, finite-volume, or finite-element discretization of high-frequency wave equations. The proposed solver leverages the butterfly algorithm and its hierarchical matrix extension for compressing and factorizing large frontal matrices via graph distance guided entry evaluation or randomized matrix-vector multiplication-based schemes. Complexity analysis and numerical experiments demonstrate O(N log2 N) computation and O(N) memory complexity when applied to an N × N sparse system arising from 3D high-frequency Helmholtz and Maxwell problems.

Published
2021

9. A Parallel Hierarchical Blocked Adaptive Cross Approximation Algorithm

Author

Liu, Yang, Sid-Lakhdar, Wissam, Rebrova, Elizaveta, Ghysels, Pieter, and Li, Xiaoye Sherry

Subjects
Mathematics - Numerical Analysis
Abstract

This paper presents a hierarchical low-rank decomposition algorithm assuming any matrix element can be computed in $O(1)$ time. The proposed algorithm computes rank-revealing decompositions of sub-matrices with a blocked adaptive cross approximation (BACA) algorithm, followed by a hierarchical merge operation via truncated singular value decompositions (H-BACA). The proposed algorithm significantly improves the convergence of the baseline ACA algorithm and achieves reduced computational complexity compared to the full decompositions such as rank-revealing QR decompositions. Numerical results demonstrate the efficiency, accuracy and parallel efficiency of the proposed algorithm.

Published
2019

10. A parallel hierarchical blocked adaptive cross approximation algorithm

Author

Liu, Yang, Sid-Lakhdar, Wissam, Rebrova, Elizaveta, Ghysels, Pieter, and Li, Xiaoye Sherry

Subjects
Information and Computing Sciences, Computer Vision and Multimedia Computation, Adaptive cross approximation, singular value decomposition, rank-revealing decomposition, parallelization, multilevel algorithms, math.NA, cs.NA, Distributed Computing, Applied computing, Distributed computing and systems software
Abstract

This article presents a low-rank decomposition algorithm based on subsampling of matrix entries. The proposed algorithm first computes rank-revealing decompositions of submatrices with a blocked adaptive cross approximation (BACA) algorithm, and then applies a hierarchical merge operation via truncated singular value decompositions (H-BACA). The proposed algorithm significantly improves the convergence of the baseline ACA algorithm and achieves reduced computational complexity compared to the traditional decompositions such as rank-revealing QR. Numerical results demonstrate the efficiency, accuracy, and parallel scalability of the proposed algorithm.

Published
2020

11. Preparing sparse solvers for exascale computing.

Author

Curfman McInnes, Lois, Tran Mills, Richard, Rajamanickam, Sivasankaran, Rupp, Karl, Smith, Barry, Yamazaki, Ichitaro, Meier Yang, Ulrike, Anzt, Hartwig, Boman, Erik, Falgout, Rob, Ghysels, Pieter, Heroux, Michael, and Li, Xiaoye Sherry

Subjects
mathematical libraries, sparse solvers
Abstract

Sparse solvers provide essential functionality for a wide variety of scientific applications. Highly parallel sparse solvers are essential for continuing advances in high-fidelity, multi-physics and multi-scale simulations, especially as we target exascale platforms. This paper describes the challenges, strategies and progress of the US Department of Energy Exascale Computing project towards providing sparse solvers for exascale computing platforms. We address the demands of systems with thousands of high-performance node devices where exposing concurrency, hiding latency and creating alternative algorithms become essential. The efforts described here are works in progress, highlighting current success and upcoming challenges. This article is part of a discussion meeting issue Numerical algorithms for high-performance computational science.

Published
2020

12. Matrix-free construction of HSS representation using adaptive randomized sampling

Author

Gorman, Christopher, Chávez, Gustavo, Ghysels, Pieter, Mary, Théo, Rouet, François-Henry, and Li, Xiaoye Sherry

Subjects
Computer Science - Numerical Analysis, Computer Science - Mathematical Software
Abstract

We present new algorithms for the randomized construction of hierarchically semi-separable matrices, addressing several practical issues. The HSS construction algorithms use a partially matrix-free, adaptive randomized projection scheme to determine the maximum off-diagonal block rank. We develop both relative and absolute stopping criteria to determine the minimum dimension of the random projection matrix that is sufficient for the desired accuracy. Two strategies are discussed to adaptively enlarge the random sample matrix: repeated doubling of the number of random vectors, and iteratively incrementing the number of random vectors by a fixed number. The relative and absolute stopping criteria are based on probabilistic bounds for the Frobenius norm of the random projection of the Hankel blocks of the input matrix. We discuss parallel implementation and computation and communication cost of both variants. Parallel numerical results for a range of applications, including boundary element method matrices and quantum chemistry Toeplitz matrices, show the effectiveness, scalability and numerical robustness of the proposed algorithms., Comment: 24 pages, 4 figures, 20 references

Published
2018

13. A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression

Author

Rebrova, Elizaveta, Chavez, Gustavo, Liu, Yang, Ghysels, Pieter, and Li, Xiaoye Sherry

Subjects
Computer Science - Learning, Statistics - Machine Learning
Abstract

We present memory-efficient and scalable algorithms for kernel methods used in machine learning. Using hierarchical matrix approximations for the kernel matrix the memory requirements, the number of floating point operations, and the execution time are drastically reduced compared to standard dense linear algebra routines. We consider both the general $\mathcal{H}$ matrix hierarchical format as well as Hierarchically Semi-Separable (HSS) matrices. Furthermore, we investigate the impact of several preprocessing and clustering techniques on the hierarchical matrix compression. Effective clustering of the input leads to a ten-fold increase in efficiency of the compression. The algorithms are implemented using the STRUMPACK solver library. These results confirm that --- with correct tuning of the hyperparameters --- classification using kernel ridge regression with the compressed matrix does not lose prediction accuracy compared to the exact --- not compressed --- kernel matrix and that our approach can be extended to $\mathcal{O}(1M)$ datasets, for which computation with the full kernel matrix becomes prohibitively expensive. We present numerical experiments in a distributed memory environment up to 1,024 processors of the NERSC's Cori supercomputer using well-known datasets to the machine learning community that range from dimension 8 up to 784., Comment: 10 pages, 8 figures

Published
2018

14. ECP libraries and tools: An overview.

Author

Heroux, Michael A, McInnes, Lois Curfman, Ahrens, James, Gamblin, Todd, Germann, Timothy C, Li, Xiaoye Sherry, Mohror, Kathryn, Munson, Todd, Shende, Sameer, Thakur, Rajeev, Vetter, Jeffrey, and Willenbring, James

Subjects
SOFTWARE libraries (Computer programming), LIBRARY software, COMPUTER software industry, SOFTWARE development tools, COMPUTER software development
Abstract

The Exascale Computing Project (ECP) Software Technology and Co-Design teams addressed the growing complexities in high-performance computing (HPC) by developing scalable software libraries and tools that leverage exascale system capabilities. As we enter the exascale era, the need for reusable, optimized software solutions that can handle the unique challenges posed by these systems becomes increasingly important. The primary challenges the ECP teams faced were to create software libraries and tools that are performant on exascale architectures and portable and usable across diverse hardware platforms. Efforts addressed issues related to concurrent execution, memory management, and the integration of heterogeneous computing resources, such as GPUs from multiple vendors. The ECP's strategy involved a structured development process encompassing the creation, optimization, and deployment of software in collaboration with industry, academia, and national laboratories. The project was organized into several technical areas: co-design of domain-specific suites with target applications, programming models and runtimes, development tools, mathematical libraries, data and visualization tools, and software ecosystem and delivery mechanisms. ECP has successfully developed a large portfolio of software libraries and tools that demonstrate significant improvements in performance and scalability on exascale systems. These products have been integrated into the Department of Energy's computing facilities, supporting various scientific applications and ensuring robust performance across different hardware setups. ECP advancements in software development for exascale computing highlight the importance of a collaborative and adaptive approach to handling next-generation HPC systems complexities. The lessons learned emphasize the need for continuous engagement with end-users and vendors, and the importance of maintaining a balance between innovation and practical implementation. Future efforts will focus on ensuring scalability, keeping pace with rapid hardware advancements, and further enhancing the interoperability and usability of the software ecosystem. Subsequent articles in this special issue provide in-depth discussions and case studies into specific library and tool efforts. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Efficient Scalable Parallel Higher Order Direct MoM-SIE Method With Hierarchically Semiseparable Structures for 3-D Scattering

Author

Manić, Ana B, Smull, Aaron P, Rouet, François-Henry, Li, Xiaoye Sherry, and Notaroš, Branislav M

Subjects
Electrical and Electronic Engineering, Communications Technologies, Networking & Telecommunications
Abstract

A novel fast scalable parallel algorithm is proposed for the solution of large 3-D scattering problems based on: 1) the double (geometrical and current-approximation) higher order (DHO) method of moments (MoM) in the surface integral equation (SIE) formulation and 2) a direct solver for dense linear systems utilizing hierarchically semiseparable (HSS) structures. Namely, an HSS matrix representation is used for compression, factorization, and solution of the system matrix. In addition, a rank-revealing QR decomposition for memory compression is used, with a stopping criterion in terms of the relative rank tolerance value. A method for geometrical preprocessing of the scatterers based on the cobblestone distance sorting technique is employed in order to enhance the HSS algorithm accuracy and parallelization. Numerical examples show how the accuracy of the DHO HSS-MoM-SIE method is easily controllable by using the relative tolerance for the matrix compression. Moreover, the examples demonstrate low memory consumption, as well as much faster simulation time, when compared to the direct LU decomposition. The method enables dramatically faster monostatic scattering computations than iterative solvers and reduced number of unknowns when compared to low-order discretizations. Finally, great scalability of the algorithm is demonstrated on more than one thousand processes.

Published
2017

16. Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331)

Author

George Karypis and Christian Schulz and Darren Strash and Deepak Ajwani and Rob H. Bisseling and Katrin Casel and Ümit V. Çatalyürek and Cédric Chevalier and Florian Chudigiewitsch and Marcelo Fonseca Faraj and Michael Fellows and Lars Gottesbüren and Tobias Heuer and Kamer Kaya and Jakub Lacki and Johannes Langguth and Xiaoye Sherry Li and Ruben Mayer and Johannes Meintrup and Yosuke Mizutani and François Pellegrini and Fabrizio Petrini and Frances Rosamond and Ilya Safro and Sebastian Schlag and Roohani Sharma and Blair D. Sullivan and Bora Uçar and Albert-Jan Yzelman, Karypis, George, Schulz, Christian, Strash, Darren, Ajwani, Deepak, Bisseling, Rob H., Casel, Katrin, Çatalyürek, Ümit V., Chevalier, Cédric, Chudigiewitsch, Florian, Faraj, Marcelo Fonseca, Fellows, Michael, Gottesbüren, Lars, Heuer, Tobias, Kaya, Kamer, Lacki, Jakub, Langguth, Johannes, Li, Xiaoye Sherry, Mayer, Ruben, Meintrup, Johannes, Mizutani, Yosuke, Pellegrini, François, Petrini, Fabrizio, Rosamond, Frances, Safro, Ilya, Schlag, Sebastian, Sharma, Roohani, Sullivan, Blair D., Uçar, Bora, Yzelman, Albert-Jan, George Karypis and Christian Schulz and Darren Strash and Deepak Ajwani and Rob H. Bisseling and Katrin Casel and Ümit V. Çatalyürek and Cédric Chevalier and Florian Chudigiewitsch and Marcelo Fonseca Faraj and Michael Fellows and Lars Gottesbüren and Tobias Heuer and Kamer Kaya and Jakub Lacki and Johannes Langguth and Xiaoye Sherry Li and Ruben Mayer and Johannes Meintrup and Yosuke Mizutani and François Pellegrini and Fabrizio Petrini and Frances Rosamond and Ilya Safro and Sebastian Schlag and Roohani Sharma and Blair D. Sullivan and Bora Uçar and Albert-Jan Yzelman, Karypis, George, Schulz, Christian, Strash, Darren, Ajwani, Deepak, Bisseling, Rob H., Casel, Katrin, Çatalyürek, Ümit V., Chevalier, Cédric, Chudigiewitsch, Florian, Faraj, Marcelo Fonseca, Fellows, Michael, Gottesbüren, Lars, Heuer, Tobias, Kaya, Kamer, Lacki, Jakub, Langguth, Johannes, Li, Xiaoye Sherry, Mayer, Ruben, Meintrup, Johannes, Mizutani, Yosuke, Pellegrini, François, Petrini, Fabrizio, Rosamond, Frances, Safro, Ilya, Schlag, Sebastian, Sharma, Roohani, Sullivan, Blair D., Uçar, Bora, and Yzelman, Albert-Jan

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 23331 "Recent Trends in Graph Decomposition", which took place from 13. August to 18. August, 2023. The seminar brought together 33 experts from academia and industry to discuss graph decomposition, a pivotal technique for handling massive graphs in applications such as social networks and scientific simulations. The seminar addressed the challenges posed by contemporary hardware designs, the potential of deep neural networks and reinforcement learning in developing heuristics, the unique optimization requirements of large sparse data, and the need for scalable algorithms suitable for emerging architectures. Through presentations, discussions, and collaborative sessions, the event fostered an exchange of innovative ideas, leading to the creation of community notes highlighting key open problems in the field.

Published
2024
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18. A Supernodal Approach to Incomplete LU Factorization with Partial Pivoting

Author

Li, Xiaoye Sherry

Subjects
Mathematics and Computing, incomplete LU factorization, partial pivoting, supernodes
Abstract

We present a new supernode-based incomplete LU factorization method to construct a preconditioner for solving sparse linear systems with iterative methods. The new algorithm is primarily based on the ILUTP approach by Saad, and we incorporate a number of techniques to improve the robustness and performance of the traditional ILUTP method. These include the new dropping strategies that accommodate the use of supernodal structures in the factored matrix. We present numerical experiments to demonstrate that our new method is competitive with the other ILU approaches and is well suited for today's high performance architectures.

Published
2009

21. A Distributed CPU-GPU Sparse Direct Solver

Author

Sao, Piyush, Vuduc, Richard, Li, Xiaoye Sherry, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Silva, Fernando, editor, Dutra, Inês, editor, and Santos Costa, Vítor, editor

Published
2014
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24. SuperLU

Author

Li, Xiaoye Sherry, Demmel, James, Gilbert, John, Grigori, Laura, Shao, Meiyue, and Padua, David, editor

Published
2011
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26. Resiliency in numerical algorithm design for extreme scale simulations

Author

Agullo, Emmanuel, primary, Altenbernd, Mirco, additional, Anzt, Hartwig, additional, Bautista-Gomez, Leonardo, additional, Benacchio, Tommaso, additional, Bonaventura, Luca, additional, Bungartz, Hans-Joachim, additional, Chatterjee, Sanjay, additional, Ciorba, Florina M, additional, DeBardeleben, Nathan, additional, Drzisga, Daniel, additional, Eibl, Sebastian, additional, Engelmann, Christian, additional, Gansterer, Wilfried N, additional, Giraud, Luc, additional, Göddeke, Dominik, additional, Heisig, Marco, additional, Jézéquel, Fabienne, additional, Kohl, Nils, additional, Li, Xiaoye Sherry, additional, Lion, Romain, additional, Mehl, Miriam, additional, Mycek, Paul, additional, Obersteiner, Michael, additional, Quintana-Ortí, Enrique S, additional, Rizzi, Francesco, additional, Rüde, Ulrich, additional, Schulz, Martin, additional, Fung, Fred, additional, Speck, Robert, additional, Stals, Linda, additional, Teranishi, Keita, additional, Thibault, Samuel, additional, Thönnes, Dominik, additional, Wagner, Andreas, additional, and Wohlmuth, Barbara, additional

Published
2021
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27. Shared Interconnect

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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28. Sparse Direct Methods

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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29. SIMD (Single Instruction, Multiple Data) Machines

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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30. SPAI (SParse Approximate Inverse)

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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31. SPIKE

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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32. Suffix Trees

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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33. SIMD Extensions

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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34. Social Networks

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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35. Scan, Reduce and

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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36. Speculative Parallelization

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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37. Small-World Network Analysis and Partitioning (SNAP) Framework

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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38. Shared Virtual Memory

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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39. Strong Scaling

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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40. Single System Image

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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41. Stream Programming Languages

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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42. SNAP (Small-World Network Analysis and Partitioning) Framework

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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43. Systolic Architecture

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

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2011
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44. Sequential Consistency

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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45. SCI (Scalable Coherent Interface)

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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46. Singular-Value Decomposition (SVD)

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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47. System on Chip (SoC)

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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48. SPEC Benchmarks

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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49. Shared-Memory Multiprocessors

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
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50. SPMD Computational Model

Author

Dongarra, Jack, primary, Luszczek, Piotr, additional, Wolf, Felix, additional, Träff, Jesper Larsson, additional, Quinton, Patrice, additional, Hellwagner, Hermann, additional, Fränzle, Martin, additional, Lengauer, Christian, additional, Ceze, Luis H, additional, Hiraki, Kei, additional, Riesen, Rolf, additional, Maccabe, Arthur B., additional, Feo, John, additional, Madduri, Kamesh, additional, Risset, Tanguy, additional, Khan, Maleq, additional, Kumar, V. S. Anil, additional, Marathe, Madha V., additional, Stretz, Paula E., additional, Dwarkadas, Sandhya, additional, Kalé, Laxmikant V., additional, Solomonik, Edgar, additional, Bader, Michael, additional, Bungartz, Hans-Joachim, additional, Mehl, Miriam, additional, Huckle, Thomas, additional, Sedlacek, Matous, additional, Bader, David A, additional, Cong, Guojing, additional, Gupta, Anshul, additional, Müller, Matthias, additional, Whitney, Brian, additional, Henschel, Robert, additional, Kumaran, Kalyan, additional, Torrellas, Josep, additional, Rauchwerger, Lawrence, additional, Polizzi, Eric, additional, Püschel, Markus, additional, Franchetti, Franz, additional, Voronenko, Yevgen, additional, Darema, Frederica, additional, Newton, Ryan, additional, Ghoting, Amol, additional, Makarychev, Konstantin, additional, Li, Xiaoye Sherry, additional, Demmel, James, additional, Gilbert, John, additional, Grigori, Laura, additional, Shao, Meiyue, additional, Hwu, Wen mei, additional, Bader, David A., additional, Flich, José, additional, Yalamanchili, Sudhakar, additional, Scott, Michael L., additional, Zola, Jaroslaw, additional, Aluru, Srinivas, additional, and Reinders, James R., additional

Published
2011
Full Text
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