정보과학회지 (Communications of the Korean Institute of Information Scientists and Engineers)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

이종 슈퍼컴퓨터 기술 동향과 슈퍼컴퓨터 '천둥'의 개발 사례

Trends on Heterogeneous Supercomputers and a Case Study on the Development of a Super-Computer Chundoong

  • 발행 : 2013.04.15
⟨ 이전 논문 다음 논문 ⟩

초록

키워드

과제정보

연구 과제 주관 기관 : 한국연구재단

참고문헌

  1. Top500 supercomputer sites, http://top500.org/.
  2. The Green500 list, http://green500.org/.
  3. Endo, T. and Matsuoka, S., "Massive Supercomputing Coping with Heterogeneity of Modern Accelerators", Proceedings of the 2008 IEEE International Parallel & Distributed Processing Symposium, 2008.
  4. Matsuoka, S., "The Road to TSUBAME and Beyond", High Performance Computing on Vector Systems 2007, pp. 265-267, 2008.
  5. Endo, T., Nukada, A., Matsuoka, S., and Maruyama, N., "Linpack Evaluation on a Supercomputer with Heterogeneous Accelerators", Proceedings of the 2010 IEEE International Symposium on Parallel & Distributed Processing, 2010.
  6. Kistler, M., Gunnels, J., Brokenshire, D., and Benton, B., "Petascale Computing with Accelerators", Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 241- 250, 2009.
  7. Yang, X. J., Liao, X. K., Lu, K. et al. "The TianHe-1A Supercomputer: Its Hardware and Software", Journal of Computer Science and Technology, Vol. 26, No. 3, pp. 344-351, 2011. https://doi.org/10.1007/s02011-011-1137-8
  8. Khronos Group. OpenCL-the open standard for parallel programming of heterogeneous systems, http://www.khronos.org/opencl/.
  9. AMD. AMD accelerated parallel processing (APP) SDK, http://developer.amd.com/sdks/amdappsdk/pages/default.aspx.
  10. NVIDIA. NVIDIA OpenCL, http://developer.nvidia.com/opencl.
  11. Intel. Intel SDK for OpenCL applications 2012, http://software.intel.com/en-us/articles/vcsource-tools-openclsdk/.
  12. Kirk, D. B. and Hwu, W.-m. W., Programming Massively Parallel Processors: A Hands-on Approach, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2010.
  13. The Message Passing Interface (MPI) standard, http://www.mcs.anl.gov/research/projects/mpi/.
  14. Kim, J., Seo, S., Lee, J., Nah, J., Jo, G., and Lee, J., "SnuCL: an OpenCL Framework for Heterogeneous CPU/GPU Clusters." Proceedings of the 26th International Conference on Supercomputing, pp. 341-352, 2012.
  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. http://www.netlib.org/benchmark/hpl/.
  16. J. J. Dongarra, I. S. Duff, D. C. Sorensen, and H. A. V. Vorst, Numerical Linear Algebra for High Performance Computers. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics, 1998.
  17. HPL Scalability Analysis, http://www.netlib.org/benchmark/ hpl/scalability.html.
  18. Run Rules for The Green500, http://green500.org/docs/pubs/RunRules_Ver0.9.pdf.
  19. Hamada, T., Nitadori, K. "190 TFlops Astrophysical N-body Simulation on a Cluster of GPUs." Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'10), 2010.