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5,223 results on '"hpc"'

201. Calculation of the high-energy neutron flux for anticipating errors and recovery techniques in exascale supercomputer centres.

Author

Asorey, Hernán and Mayo-García, Rafael

Subjects
*NEUTRON flux, *MEAN time between failure, *SINGLE event effects, *ATMOSPHERIC radiation, *NEUTRON temperature
Abstract

The age of exascale computing has arrived, and the risks associated with neutron and other atmospheric radiation are becoming more critical as the computing power increases; hence, the expected mean time between failures will be reduced because of this radiation. In this work, a new and detailed calculation of the neutron flux for energies above 50 MeV is presented. This has been done by using state-of-the-art Monte Carlo astroparticle techniques and including real atmospheric profiles at each one of the next 23 exascale supercomputing facilities. Atmospheric impact in the flux and seasonal variations were observed and characterized, and the barometric coefficient for high-energy neutrons at each site was obtained. With these coefficients, potential risks of errors associated with the increase in the flux of energetic neutrons, such as the occurrence of single event upsets or transients, and the corresponding failure-in-time rates, can be anticipated just by using the atmospheric pressure before the assignation of resources to critical tasks at each exascale facility. For more clarity, examples about how the rate of failures is affected by the cosmic rays are included, so administrators will better anticipate which more or less restrictive actions could take for overcoming errors. [ABSTRACT FROM AUTHOR]

Published
2023
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202. NE‐RDFE: A protocol and toolkit for computing relative dissociation free energies with GROMACS between dissimilar molecules using bidirectional nonequilibrium dual topology schemes.

Author

Macchiagodena, Marina, Pagliai, Marco, and Procacci, Piero

Subjects
*MOLECULAR dynamics, *TOPOLOGY, *SMALL molecules, *MOLECULES, *CHARGE transfer
Abstract

We describe a step‐by‐step protocol and toolkit for the computation of the relative dissociation free energy (RDFE) with the GROMACS molecular dynamics package, based on a novel bidirectional nonequilibrium alchemical approach. The proposed methodology does not require any intervention on the code and allows computing with good accuracy the RDFE between small molecules with arbitrary differences in volume, charge, and chemical topology. The procedure is illustrated for the challenging SAMPL9 batch of host–guest pairs. The article is supplemented by a detailed online tutorial, available at https://procacci.github.io/vdssb%5fgromacs/NE-RDFE and by a public Zenodo repository available at https://zenodo.org/record/6982932. [ABSTRACT FROM AUTHOR]

Published
2023
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203. Accelerating neural network architecture search using multi-GPU high-performance computing.

Author

Lupión, Marcos, Cruz, N. C., Sanjuan, Juan F., Paechter, B., and Ortigosa, Pilar M.

Subjects
*IMAGE recognition (Computer vision), *OPTIMIZATION algorithms, *ARCHITECTURAL design, *ARTIFICIAL intelligence, *PARALLEL programming
Abstract

Neural networks stand out from artificial intelligence because they can complete challenging tasks, such as image classification. However, designing a neural network for a particular problem requires experience and tedious trial and error. Automating this process defines a research field usually relying on population-based meta-heuristics. This kind of optimizer generally needs numerous function evaluations, which are computationally demanding in this context as they involve building, training, and evaluating different neural networks. Fortunately, these algorithms are also well suited for parallel computing. This work describes how the teaching–learning-based optimization algorithm has been adapted for designing neural networks exploiting a multi-GPU high-performance computing environment. The optimizer, not applied before for this purpose up to the authors' knowledge, has been selected because it lacks specific parameters and is compatible with large-scale optimization. Thus, its configuration does not result in another problem and could design architectures with many layers. The parallelization scheme is decoupled from the optimizer. It can be seen as an external evaluation service managing multiple GPUs for promising neural network designs, even at different machines, and multiple CPU's for low-performing solutions. This strategy has been tested in designing a neural network for image classification based on the CIFAR-10 dataset. The architectures found outperform human designs, and the sequential process is accelerated 4.2 times with 4 GPUs and 96 cores thanks to parallelization, being the ideal speed up 4.39 in this case. [ABSTRACT FROM AUTHOR]

Published
2023
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204. Three level benchmarking of Singularity containers for scientific calculations.

Author

Polgár, Péter, Menyhárt, Tamás, Baksay, Csanád Bátor, Kocsis, Gergely, Tajti, Tibor Gábor, and Gál, Zoltán

Subjects
*CONTAINERIZATION, *CONTAINERS, *MEMORY, *COMPUTER software
Abstract

In this work we present our results from benchmarking Singularity containers running scientific calculations intended for HPC at three levels of complexity, comparing them against native software environments. Our investigations were run on up-to-date hardware and the latest available software as of early 2023. To get a more detailed picture, we examined three different system aspects: we ran separate benchmarks on CPU, memory, and I/O intensive operations. These aspects were tested with microbenchmarks, and at a high level - an HPC workload pipeline which intensely loaded each aspect. As a result of our investigations we show that Singularity containerization continues to provide as good, or in some cases even better performance indicators as in a native environment - with the substantial added benefits of application flexibility and portability. [ABSTRACT FROM AUTHOR]

Published
2023
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205. Antibacterial Surgical Sutures Developed Using Electrostatic Yarn Wrapping Technology.

Author

Lou, Ching-Wen, Hung, Chun-Yu, Wei, Mengdan, Li, Tingting, Shiu, Bing-Chiuan, and Lin, Jia-Horng

Subjects
YARN, SUTURES, NANOFIBERS, ESCHERICHIA coli, ZINC acetate, SUTURING, SPUN yarns, CELL adhesion
Abstract

A significant amount of research has been conducted on applying functional materials as surgical sutures. Therefore, research on how to solve the shortcomings of surgical sutures through available materials has been given increasing attention. In this study, hydroxypropyl cellulose (HPC)/PVP/zinc acetate nanofibers were coated on absorbable collagen sutures using an electrostatic yarn winding technique. The metal disk of an electrostatic yarn spinning machine gathers nanofibers between two needles with positive and negative charges. By adjusting the positive and negative voltage, the liquid in the spinneret is stretched into fibers. The selected materials are toxicity free and have high biocompatibility. Test results indicate that the nanofiber membrane comprises evenly formed nanofibers despite the presence of zinc acetate. In addition, zinc acetate can effectively kill 99.9% of E. coli and S. aureus. Cell assay results indicate that HPC/PVP/Zn nanofiber membranes are not toxic; moreover, they improve cell adhesion, suggesting that the absorbable collagen surgical suture is profoundly wrapped in a nanofiber membrane that exerts antibacterial efficacy and reduces inflammation, thus providing a suitable environment for cell growth. The employment of electrostatic yarn wrapping technology is proven effective in providing surgical sutures with antibacterial efficacy and a more flexible range of functions. [ABSTRACT FROM AUTHOR]

Published
2023
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206. Monitoring Adenosine Triphosphate Concentrations in a Chloraminated Drinking Water Distribution System for Risk and Asset Management.

Author

Maal-Bared, Rasha, McCracken, Michael, Busawon, Bharatee, and Simpson, Darlyce

Subjects
WATER distribution, ADENOSINE triphosphate, DRINKING water, ASSET management, WATER treatment plants, RESERVOIRS
Abstract

Utilities rely on reliable and robust monitoring systems to inform decisions around asset operation and management in the drinking water distribution system (DWDS) to deliver high quality, biologically stable drinking water to consumers. However, traditional culture-based testing methods present challenges that make the timely detection of regrowth in the DWDS difficult. This study reports the results of an extensive adenosine triphosphate (ATP) monitoring campaign—a non-regulated parameter—in an urban, chloraminated drinking water system that analyzed over 5000 samples from two drinking water treatment plants (DWTPs), associated DWTP reservoirs, twelve outlying reservoirs and the DWDS between 2019–2022. ATP concentrations increased significantly between the two DWTP reservoirs and outlying reservoirs but decreased between the outlying reservoirs and DWDS samples. Relationships between ATP concentrations and other water quality variables varied depending on sampling location. Heterotrophic plate counts (HPC) were mainly non-detects (<1 CFU/mL) providing limited operational guidance compared to ATP. ATP concentrations exhibited temporal and spatial variation but did not exceed the proposed 10 pg/mL corrective action limit suggested by the manufacturer. ATP concentrations were also able to inform outlying reservoir management decisions. Monitoring ATP could serve as a useful indicator of biological stability in the DWDS for the utility of the future. [ABSTRACT FROM AUTHOR]

Published
2023
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207. Sparse Matrix-Based HPC Tomography

Author

Marchesini, Stefano, Trivedi, Anuradha, Enfedaque, Pablo, Perciano, Talita, and Parkinson, Dilworth

Subjects
Information and Computing Sciences, Computer Vision and Multimedia Computation, Networking and Information Technology R&D (NITRD), Bioengineering, Tomography, SpMV, X-ray imaging, HPC, GPU, cs.DC, Artificial Intelligence & Image Processing, Information and computing sciences
Abstract

Tomographic imaging has benefited from advances in X-ray sources, detectors and optics to enable novel observations in science, engineering and medicine. These advances have come with a dramatic increase of input data in the form of faster frame rates, larger fields of view or higher resolution, so high performance solutions are currently widely used for analysis. Tomographic instruments can vary significantly from one to another, including the hardware employed for reconstruction: from single CPU workstations to large scale hybrid CPU/GPU supercomputers. Flexibility on the software interfaces and reconstruction engines are also highly valued to allow for easy development and prototyping. This paper presents a novel software framework for tomographic analysis that tackles all aforementioned requirements. The proposed solution capitalizes on the increased performance of sparse matrix-vector multiplication and exploits multi-CPU and GPU reconstruction over MPI. The solution is implemented in Python and relies on CuPy for fast GPU operators and CUDA kernel integration, and on SciPy for CPU sparse matrix computation. As opposed to previous tomography solutions that are tailor-made for specific use cases or hardware, the proposed software is designed to provide flexible, portable and high-performance operators that can be used for continuous integration at different production environments, but also for prototyping new experimental settings or for algorithmic development. The experimental results demonstrate how our implementation can even outperform state-of-the-art software packages used at advanced X-ray sources worldwide.

Published
2020

208. Improving Application Support in 6G Networks With CAPOM: Confluence-Aided Process Organization Method

Author

Jamil Abedalrahim Jamil Alsayaydeh, Irianto, Ahmed Jamal Abdullah Al-Gburi, and Safarudin Gazali Herawan

Subjects
6G, federated learning, HPC, process allocation, service distribution, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Systems requiring terahertz transmission and high sampling capabilities can be supported by sixth-generation (6G) technology with minimal latency and excellent service throughput. Regardless of the distributions of data and services, High-Performance Computing (HPC) enhances speed and provides diversified applications and functionality. The Confluence-Aided Process Organization Method (CAPOM) is suggested in this article to take advantage of process allocations while using an HPC paradigm. The process allocations and completions are scheduled based on prior and current system conditions to minimize waiting time based on the 6G qualities. This implies that state requirements for process allocation, distribution, and completion are carried out with the assistance of federated learning. The initial state allocations are based on the user/application request; in other allocations, the application’s request for completion time and capacity for processing are considered. Offloading and shared processing are, therefore combined to maximize resource deliveries. The federated learning states are checked post-completion times to mitigate the waiting duration of dense service demands. Indicators such as distribution ratios, latency, wait time, and processing rate are considered for the effectiveness of the proofs. The suggested CAPOM achieves an 8.67% higher processing rate, 9.09% reduced latency, 8.76% less wait time, and a 6.73% higher distribution ratio for the various capacities.

Published
2023
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209. Efficient Active Message RMA in GASNet Using a Target-Side Reassembly Protocol (Extended Abstract)

Author

Hargrove, P and Bonachea, Dan

Subjects
Active Messages, GASNet, HPC, Networking, PGAS, RMA, Supercomputing
Abstract

GASNet is a portable, open-source, high-performance communication library designed to efficiently support the networking requirements of PGAS runtime systems and other alternative models on future exascale machines. This paper investigates strategies for efficient implementation of GASNet’s “AM Long” API that couples an RMA (Remote Memory Access) transfer with an Active Message (AM) delivery. We discuss several network-level protocols for AM Long and propose a new target-side reassembly protocol. We present a microbenchmark evaluation on the Cray XC Aries network hardware. The target-side reassembly protocol on this network improves AM Long end-to-end latency by up to 33%, and the effective bandwidth by up to 49%, while also enabling asynchronous source completion that drastically reduces injection overheads. The improved AM Long implementation for Aries is available in GASNet-EX release v2019.9.0 and later.

Published
2019

210. GASNet-EX: A High-Performance, Portable Communication Library for Exascale

Author

Bonachea, Dan and Hargrove, P

Subjects
Active Messages, HPC, Middleware, PGAS, RMA, Information and Computing Sciences, Applied Computing, Artificial Intelligence & Image Processing, Information and computing sciences
Abstract

Partitioned Global Address Space (PGAS) models, typified by such languages as Unified Parallel C (UPC) and Co-Array Fortran, expose one-sided communication as a key building block for High Performance Computing (HPC) applications. Architectural trends in supercomputing make such programming models increasingly attractive, and newer, more sophisticated models such as UPC++, Legion and Chapel that rely upon similar communication paradigms are gaining popularity.GASNet-EX is a portable, open-source, high-performance communication library designed to efficiently support the networking requirements of PGAS runtime systems and other alternative models in future exascale machines. The library is an evolution of the popular GASNet communication system, building upon over 15 years of lessons learned. We describe and evaluate several features and enhancements that have been introduced to address the needs of modern client systems. Microbenchmark results demonstrate the RMA performance of GASNet-EX is competitive with several MPI-3 implementations on current HPC systems.

Published
2019

211. NERSC: 50 Years of Scientific Supercomputing

Author

Sargent, Marilyn

Subjects
HPC, supercomputing, scientific computing
Abstract

In 2024, NERSC celebrates half a century of empowering scientists to make world-changing discoveries through computing. This year, we celebrate a proud history that we continue to build on today with an eye to the next 50 years of discovery.

Published
2023

212. Experimental Research on the Thermal Instability of Fiber Polypropylene Concrete at 250 °C

Author

Aidoud Assia, Bencheikh Messaouda, and Khaldi Nacera

Subjects
hpc, hpfc, fibers, high temperature, mechanical properties, Engineering (General). Civil engineering (General), TA1-2040
Abstract

The high temperature in the concrete destroys the hydrates of the cement paste. This destruction means the weakness of the materials caused by the deterioration of their mechanical properties.

Published
2022
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214. STEM Education Meets HPC

Author

Chou, Hsiu-Mei, Norika, Sugita, Hsin, Ching-Yeh, Sung, Tso-Chung, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Hsieh, Sun-Yuan, editor, Hung, Ling-Ju, editor, Klasing, Ralf, editor, Lee, Chia-Wei, editor, and Peng, Sheng-Lung, editor

Published
2022
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215. Simulation Workflows in Minutes, at Scale for Next-Generation HPC

Author

Grosvenor, Allan, Zemlyansky, Anton, Deighan, Dwyer, Sysko, Dustin, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Doug, Kothe, editor, Al, Geist, editor, Pophale, Swaroop, editor, Liu, Hong, editor, and Parete-Koon, Suzanne, editor

Published
2022
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216. Industrial Experience Deploying Heterogeneous Platforms for Use in Multi-modal Power Systems Design Workflows

Author

Gallo, Andrew, Claydon, Ian, Tucker, Eric, Arthur, Richard, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Doug, Kothe, editor, Al, Geist, editor, Pophale, Swaroop, editor, Liu, Hong, editor, and Parete-Koon, Suzanne, editor

Published
2022
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217. Usage Pattern Analysis for the Summit Login Nodes

Author

Eiffert, Brett, Zhang, Chen, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Doug, Kothe, editor, Al, Geist, editor, Pophale, Swaroop, editor, Liu, Hong, editor, and Parete-Koon, Suzanne, editor

Published
2022
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218. IMSS: In-Memory Storage System for Data Intensive Applications

Author

Garcia-Blas, Javier, Singh, David E., Carretero, Jesus, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Anzt, Hartwig, editor, Bienz, Amanda, editor, Luszczek, Piotr, editor, and Baboulin, Marc, editor

Published
2022
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219. Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems

Author

Ardebili, Mohsen Seyedkazemi, Bartolini, Andrea, Acquaviva, Andrea, Benini, Luca, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Anzt, Hartwig, editor, Bienz, Amanda, editor, Luszczek, Piotr, editor, and Baboulin, Marc, editor

Published
2022
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220. Using Coarray Fortran for Design of Hydrodynamics Code on Nested Grids

Author

Kulikov, Igor, Chernykh, Igor, Vorobyov, Eduard, Elbakyan, Vardan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Balandin, Dmitry, editor, Barkalov, Konstantin, editor, and Meyerov, Iosif, editor

Published
2022
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221. Time-Power-Energy Balance of blas Kernels in Modern fpgas

Author

Favaro, Federico, Dufrechou, Ernesto, Oliver, Juan P., Ezzatti, Pablo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Navaux, Philippe, editor, Barrios H., Carlos J., editor, Osthoff, Carla, editor, and Guerrero, Ginés, editor

Published
2022
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222. Root Causing MPI Workloads Imbalance Issues via Scalable MPI Critical Path Analysis

Author

Shatalin, Artem, Slobodskoy, Vitaly, Fatin, Maksim, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Voevodin, Vladimir, editor, Sobolev, Sergey, editor, Yakobovskiy, Mikhail, editor, and Shagaliev, Rashit, editor

Published
2022
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223. Regularization Approach for Accelerating Neural Architecture Search

Author

Nikulenkov, Mikhail, Khamitov, Kamil, Popova, Nina, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Voevodin, Vladimir, editor, Sobolev, Sergey, editor, Yakobovskiy, Mikhail, editor, and Shagaliev, Rashit, editor

Published
2022
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224. Performance Analysis of GPU-Based Code for Complex Plasma Simulation

Author

Kolotinskii, Daniil, Timofeev, Alexei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Voevodin, Vladimir, editor, Sobolev, Sergey, editor, Yakobovskiy, Mikhail, editor, and Shagaliev, Rashit, editor

Published
2022
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225. Toward Agent-Based In Situ Visualization

Author

Wang, Yan, Sakai, Ren, Kageyama, Akira, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chang, Byeong-Yun, editor, and Choi, Changbeom, editor

Published
2022
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227. Assessing the Performance and Suitability of FPGAs as Hardware Accelerator for Software Programmers

Author

Mishra, Adarsh, Ajith, K. J., Bhatt, Kislay, Vaibhav, Kumar, Duggal, Vibhuti, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rout, Rashmi Ranjan, editor, Ghosh, Soumya Kanti, editor, Jana, Prasanta K., editor, Tripathy, Asis Kumar, editor, Sahoo, Jyoti Prakash, editor, and Li, Kuan-Ching, editor

Published
2022
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228. Distributed Architecture for Highly Scalable Urban Traffic Simulation

Author

Zych, Michał, Najdek, Mateusz, Paciorek, Mateusz, Turek, Wojciech, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Groen, Derek, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor

Published
2022
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229. A GPU-Based Algorithm for Environmental Data Filtering

Author

De Luca, Pasquale, Galletti, Ardelio, Marcellino, Livia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Groen, Derek, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor

Published
2022
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230. Interferences Between Communications and Computations in Distributed HPC Systems

Author

Swartvagher, Philippe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chaves, Ricardo, editor, B. Heras, Dora, editor, Ilic, Aleksandar, editor, Unat, Didem, editor, Badia, Rosa M., editor, Bracciali, Andrea, editor, Diehl, Patrick, editor, Dubey, Anshu, editor, Sangyoon, Oh, editor, L. Scott, Stephen, editor, and Ricci, Laura, editor

Published
2022
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231. Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements

Author

Veroneze Solórzano, Ana Luisa, Mello Schnorr, Lucas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Varbanescu, Ana-Lucia, editor, Bhatele, Abhinav, editor, Luszczek, Piotr, editor, and Marc, Baboulin, editor

Published
2022
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232. Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters

Author

Zhou, Qinghua, Kousha, Pouya, Anthony, Quentin, Shafie Khorassani, Kawthar, Shafi, Aamir, Subramoni, Hari, Panda, Dhabaleswar K., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Varbanescu, Ana-Lucia, editor, Bhatele, Abhinav, editor, Luszczek, Piotr, editor, and Marc, Baboulin, editor

Published
2022
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233. A Study in SHMEM: Parallel Graph Algorithm Acceleration with Distributed Symmetric Memory

Author

Ing, Michael, George, Alan D., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Poole, Stephen, editor, Hernandez, Oscar, editor, Baker, Matthew, editor, and Curtis, Tony, editor

Published
2022
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234. Achieving Near-Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL Interoperability

Author

Pascuzzi, Vincent R., Goli, Mehdi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bhalachandra, Sridutt, editor, Daley, Christopher, editor, and Melesse Vergara, Verónica, editor

Published
2022
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236. Mesh Variants for Massively Parallel Systems Using MATLAB

Author

Nasir, Faizan, Bokhari, Mohammad Ubaidullah, Samad, Abdus, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Goar, Vishal, editor, Kuri, Manoj, editor, Kumar, Rajesh, editor, and Senjyu, Tomonobu, editor

Published
2022
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238. Wind Prediction Using Deep Learning and High Performance Computing

Author

Manero, Jaume, Béjar, Javier, Cortés, Ulises, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gitler, Isidoro, editor, Barrios Hernández, Carlos Jaime, editor, and Meneses, Esteban, editor

Published
2022
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240. Distributed Artificial Intelligent Model Training and Evaluation

Author

Monahan, Christina, Garcia, Alexander, Zhang, Evan, Timokhin, Dmitriy, Egbert, Hanson, Pantoja, Maria, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gitler, Isidoro, editor, Barrios Hernández, Carlos Jaime, editor, and Meneses, Esteban, editor

Published
2022
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241. Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine

Author

Cococcioni, Marco, Rossi, Federico, Ruffaldi, Emanuele, Saponara, Sergio, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Saponara, Sergio, editor, and De Gloria, Alessandro, editor

Published
2022
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242. A PGAS-Based Implementation for the Parallel Minimum Spanning Tree Algorithm

Author

Bejanyan, Vahag, Astsatryan, Hrachya, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lirkov, Ivan, editor, and Margenov, Svetozar, editor

Published
2022
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243. An Study on the Resource Utilization and User Behavior on Titan Supercomputer

Author

Iserte, Sergio, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nichols, Jeffrey, editor, Maccabe, Arthur ‘Barney’, editor, Nutaro, James, editor, Pophale, Swaroop, editor, Devineni, Pravallika, editor, Ahearn, Theresa, editor, and Verastegui, Becky, editor

Published
2022
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244. NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning

Author

Rager, David, Andersen, Aaron, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nichols, Jeffrey, editor, Maccabe, Arthur ‘Barney’, editor, Nutaro, James, editor, Pophale, Swaroop, editor, Devineni, Pravallika, editor, Ahearn, Theresa, editor, and Verastegui, Becky, editor

Published
2022
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245. Design and Implementation of Edge Detection Algorithms Using FPGA

Author

Nikita, P., Chickerur, Satyadhyan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Engelbrecht, Andries, editor, Scotti, Fabio, editor, Gandhi, Niketa, editor, Manghirmalani Mishra, Pooja, editor, Fortino, Giancarlo, editor, Sakalauskas, Virgilijus, editor, and Pllana, Sabri, editor

Published
2022
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246. Modeling Round-Off Errors in Hydrodynamic Simulations

Author

Weens, William, Vazquez-Gonzalez, Thibaud, Salem-Knapp, Louise Ben, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bloem, Roderick, editor, Dimitrova, Rayna, editor, Fan, Chuchu, editor, and Sharygina, Natasha, editor

Published
2022
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247. The WRF-ERDS Workflow in the November 2020 Calabria Flood Event

Author

Mazzoglio, Paola, Ajmar, Andrea, Parodi, Antonio, Bovio, Lorenza, Parodi, Andrea, Pasquali, Paolo, Martinovic, Jan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Borgogno-Mondino, Enrico, editor, and Zamperlin, Paola, editor

Published
2022
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248. A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks

Author

Ihde, Nina, Marten, Paula, Eleliemy, Ahmed, Poerwawinata, Gabrielle, Silva, Pedro, Tolovski, Ilin, Ciorba, Florina M., Rabl, Tilmann, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nambiar, Raghunath, editor, and Poess, Meikel, editor

Published
2022
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249. Architecture of an On-Time Data Transfer Framework in Cooperation with Scheduler System

Author

Yamamoto, Kohei, Endo, Arata, Date, Susumu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cérin, Christophe, editor, Qian, Depei, editor, Gaudiot, Jean-Luc, editor, Tan, Guangming, editor, and Zuckerman, Stéphane, editor

Published
2022
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250. Fuzzy Redundancy Mechanism to Enhance the Resilience of IoT-Based HPC Systems

Author

Abo Hozaifa, Amira, Moussa, Ahmed Shawky, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bede, Barnabás, editor, Ceberio, Martine, editor, and De Cock, Martine, editor

Published
2022
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