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Performance of kepler GTX Titan GPUs and xeon phi system
- Source :
- Scopus-Elsevier
-
Abstract
- NVIDIA's new architecture, Kepler improves GPU's performance significantly with the new streaming multiprocessor SMX. Along with the performance, NVIDIA has also introduced many new technologies such as direct parallelism, hyper-Q and GPU Direct with RDMA. Apart from other usual GPUs, NVIDIA also released another Kepler 'GeForce' GPU named GTX Titan. GeForce GTX Titan is not only good for gaming but also good for high performance computing with CUDA. Nevertheless, it is remarkably cheaper than Kepler Tesla GPUs. We investigate the performance of GTX Titan and find out how to optimize a CUDA code appropriately for it. Meanwhile, Intel has launched its new many integrated core (MIC) system, Xeon Phi. A Xeon Phi coprocessor could provide similar performance with NVIDIA Kepler GPUs theoretically but, in reality, it turns out that its performance is significantly inferior to GTX Titan.<br />Comment: 7 pages, 6 figures, 3 tables, Contribution to proceedings of the 31st International Symposium on Lattice Field Theory (Lattice 2013), July 29 - August 3, 2013
- Subjects :
- FOS: Computer and information sciences
Remote direct memory access
Coprocessor
Computer science
High Energy Physics - Lattice (hep-lat)
FOS: Physical sciences
Multiprocessing
Parallel computing
Computational Physics (physics.comp-ph)
ComputerSystemsOrganization_PROCESSORARCHITECTURES
Software_PROGRAMMINGTECHNIQUES
Supercomputer
Kepler
GeneralLiterature_MISCELLANEOUS
CUDA
High Energy Physics - Lattice
Titan (supercomputer)
Computer Science - Distributed, Parallel, and Cluster Computing
Distributed, Parallel, and Cluster Computing (cs.DC)
Physics - Computational Physics
Xeon Phi
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier
- Accession number :
- edsair.doi.dedup.....acad501d8b9fde356f7a8ed55d255eef