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Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs
Kaczmarek O, Schmidt C, Steinbrecher P, Wagner M
arXiv:1411.4439,   2015,   ,  pp. -
http://pub.uni-bielefeld.de/publication/2713048
Ocena (głosów:3)
Optimizing Execution Performance for an Isotropic Double Precision 3DE Finite Difference Stencil Algorithm on the Intel Xeon Phi Coprocessor
Steven Healey
Intel Corporation,   2015,   ,  pp. 0-1
https://software.intel.com/en-us/articles/optimizing-execution-performance-for-an-isotropic-double-precision-3de-finite-difference
Ocena (głosów:2)
Data Partitioning on Multicore and Multi-GPU Platforms Using Functional Performance Models
Zhong Z, Rychkov V, Lastovetsky A
IEEE Transactions on Computers,   2015,   ,  pp. 1
Ocena (głosów:1)
Cluster-level tuning of a shallow water equation solver on the Intel MIC architecture
Vladimirov A, Addison C
http://arxiv.org/abs/1408.1727,   2015,   -,  pp. 11
Ocena (głosów:1)
Practical SIMD Vectorization Techniques for Intel® Xeon Phi Coprocessors
Xinmin T, Hideki S, Serguei V, P, Eric N. Garcia, Sergey S, Kozhukhov M. Masten, Aleksei G, Panchenko C, Panchenko N
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International ,   2013,   -,  pp. 1149 - 1158
Ocena (głosów:1)
Ultra-scalable CPU-MIC Acceleration of Mesoscale Atmospheric Modeling on Tianhe-2
Xue W, Ranjan R, Wang L
IEEE Transactions on Computers,   2015,   PP,  pp. 1
Ocena (głosów:1)
Address Selection for Efficient Barriers on the Intel® Xeon Phi™
Dolbeau R
CAPS enterprise,   2014,   ,  pp. 8
Ocena (głosów:1)
Performance to Power and Performance to Cost Ratios with Intel Xeon Phi Coprocessors (and why 1x Acceleration May Be Enough)
Vladimirov A
Colfax International,   2015,   ,  pp. 8
http://research.colfaxinternational.com/author/Andrey.aspx
Ocena (głosów:1)
Fine-Tuning Vectorization and Memory Traffic on Intel Xeon Phi Coprocessors: LU Decomposition of Small Matrices
Vladimirov A
Colfax International,   2015,   ,  pp. 10
http://research.colfaxinternational.com/author/Andrey.aspx
Ocena (głosów:1)
Heterogeneous Clustering with Homogeneous Code: Accelerate MPI Applications Without Code Surgery Using Intel Xeon Phi Coprocessors
Vladimirov A, Karpusenko V
Colfax International,   2015,   ,  pp. 14
http://research.colfaxinternational.com/post/2013/10/17/Heterogeneous-Clustering.aspx
Ocena (głosów:2)
Configuration and Benchmarks of Peer-to-Peer Communication over Gigabit Ethernet and InfiniBand in a Cluster with Intel Xeon Phi Coprocessors
Vladimirov A, Karpusenko V
Colfax International,   2015,   ,  pp. 18
http://research.colfaxinternational.com/post/2014/03/11/InfiniBand-for-MIC.aspx
Ocena (głosów:1)
Test-driving Intel® Xeon Phi™ coprocessors with a basic N-body simulation
Vladimirov A, Karpusenko V
Colfax International,   2013,   ,  pp. 15
http://research.colfaxinternational.com/post/2013/01/07/Nbody-Xeon-Phi.aspx
Ocena (głosów:1)
Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi
Dongarra J, Gates J, Haidar A, Jia Y, Kabir K, Luszczek P, Tomov S
Parallel Processing and Applied Mathematics Lecture Notes in Computer Science,   2014,   8384,  pp. 571-581
Ocena (głosów:1)
Differences in Floating-Point Arithmetic Between Intel® Xeon® Processors and the Intel® Xeon Phi™ Coprocessor
Corden M
Intel Corporation,   2013,   ,  pp. 1
Ocena (głosów:1)
Using Intel Xeon Phi coprocessor to accelerate computations in MPDATA algorithm
Szustak L, Rojek K, Gepner P
Parallel Processing and Applied Mathematics,,   2014,   ,  pp. 582-592
Ocena (głosów:2)
Toward efficient distribution of MPDATA stencil computation on Intel MIC architecture
Szustak L, Rojek K, Wyrzykowski R, Gepner P
Proce. HiStencils,   2014,   14,  pp. 51-56
Ocena (głosów:3)
Adaptation of MPDATA heterogeneous stencil computation to Intel Xeon Phi coprocessor
Szustak L, Rojek K, Olas T, Kuczynski L, Halbiniak K, Gepner P
Scientific Programming,   2015,   ,  pp. 24
http://www.hindawi.com/journals/sp/aip/642705/
Ocena (głosów:2)