Design and implementation of the Linpack benchmark for single and multi-node systems based on Intel® Xeon Phi™ coprocessor

Proceedings - IEEE 27th International Parallel and Distributed Processing Symposium, IPDPS 2013

Volumn , Issue , 2013, Pages 126-137

  Heinecke, Alexander ^a   Vaidyanathan, Karthikeyan ^b   Smelyanskiy, Mikhail ^c   Kobotov, Alexander ^d   Dubtsov, Roman ^d   Henry, Greg ^c   Shet, Aniruddha G ^c   Chrysos, George ^c   Dubey, Pradeep ^c  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b INTEL TECHNOLOGY INDIA PVT LTD   (India)

^c INTEL CORPORATION   (United States)

^d Intel Corporation   (Russian Federation)

Author keywords

HPL; hybrid parallelization; LU factorization; panel factorization; SIMD; TLP; Xeon Phi

Indexed keywords

HPL; HYBRID PARALLELIZATION; LU FACTORIZATION; SIMD; TLP; XEON PHI;

DISTRIBUTED PARAMETER NETWORKS; EFFICIENCY; FACTORIZATION; LINEAR ALGEBRA; MICROPROCESSOR CHIPS; SCHEDULING;

PARALLEL PROCESSING SYSTEMS;

EID: 84884866137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2013.113     Document Type: Conference Paper

References (22)

1. Basic Linear Algebra techical forum standard, August 2001.
2. Intel Math Kernel Library (Intel MKL) 11.0, 2012.
3. M. Bach, M. Kretz, V. Lindenstruth, and D. Rohr. Optimized HPL for AMD GPU and multi-core CPU usage. Comput. Sci., 26(3-4):153-164, June 2011.
4. A. Buttari, J. Dongarra, J. Kurzak, J. Langou, P. Luszczek, and S. Tomov. The impact of multicore on math software. In Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing, PARA'06, 2007.
5. M. Deisher, M. Smelyanskiy, B. Nickerson, V. W. Lee, M. Chuvelev, and P. Dubey. Designing and dynamically load balancing hybrid LU for multi/manycore. Comput. Sci., 26(3-4), June 2011.
6. E. Philips and M. Fatica. CUDA Accelerated Linpack on Clusters. In GPU Technology Conference, 2010.
7. T. Endo, A. Nukada, S. Matsuoka, and N. Maruyama. Linpack evaluation on a supercomputer with heterogeneous accelerators. In IPDPS, pages 1-8. IEEE, 2010.
8. M. Fatica. Accelerating linpack with CUDA on heterogenous clusters. In Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, page 4651. ACM, 2009.
9. G. H. Golub and C. F. V. Loan. Matrix Computations. The Johns Hopkins University Press, 1996.
10. K. Goto and R. A. v. d. Geijn. Anatomy of high-performance matrix multiplication. ACM Trans. Math. Softw., 34(3):12:1-12:25, May 2008.
11. K. Goto and R. Van De Geijn. High-performance implementation of the level-3 blas. ACM Trans. Math. Softw., 35(1):4:1-4:14, July 2008.
12. Greg Henry. BLAS Based on Alternate Data Structures. In Cornell Theory Center Technical Report Number 89, 1992.
13. HPC Advisory Council. Toward Exascale computing, 2010.
14. J. D. McCalpin. The STREAM Benchmark.
15. A. Petitet, R. C. Whaley, J. Dongarra, and A. Cleary. HPL - A Portable Implementation of the High-Performance Linpack Benchmark for Distributed-Memory Computers.
16. F. Song and J. Dongarra. A scalable framework for heterogeneous gpu-based clusters. In Proceedinbgs of the 24th ACM symposium on Parallelism in algorithms and architectures, SPAA '12, pages 91-100, New York, NY, USA, 2012. ACM.
17. P. Strazdins. A comparison of lookahead and algorithmic blocking techniques for parallel matrix factorization, 1998.
18. S. Tomov, R. Nath, H. Ltaief, and J. Dongarra. Dense linear algebra solvers for multicore with GPU accelerators. In Proceedings of IPDPS 2010: 24th IEEE International Parallel and Distributed Processing Symposium, 2010.
19. www.top500.org. TOP500 list, June 2012 release. 2012.
20. C. Yang, F. Wang, Y. Du, J. Chen, J. Liu, H. Yi, and K. Lu. Adaptive optimization for petascale heterogeneous cpu/gpu computing. In Cluster Computing (CLUSTER), 2010 IEEE International Conference on, pages 19-28, sept. 2010.
21. K. Yotov, X. Li, G. Ren, M. Garzaran, D. Padua, K. Pingali, and P. Stodghill. Is search really necessary to generate high-performance BLAS? Proceedings of the IEEE, 93(2), 2005. special issue on "Program Generation, Optimization, and Adaptation".
22. F. G. V. Zee, E. Chan, R. A. v. d. Geijn, E. S. Quintana- Orti, and G. Quintana-Orti. The libflame library for dense matrix computations. IEEE Des. Test, 11(6):56-63, Nov. 2009.