Importance of explicit vectorization for CPU and GPU software performance
作者： Neil G. Dickson , Kamran Karimi , Firas Hamze
DOI: 10.1016/J.JCP.2011.03.041
关键词: Computational science 、 Graphics processing unit 、 CPU shielding 、 Central processing unit 、 Speedup 、 Software performance testing 、 Vectorization (mathematics) 、 Parallel computing 、 Computer science 、 CPU modes 、 CUDA
摘要: … the CPU and the GPU implementations. Section 3 shows how different parts of the code were vectorized. This section also explains how memory coalescing for GPU was performed. …
arxiv.org
harvard.edu
elsevier.com
sci-hub.se 参考文章(29)
Donald E. Knuth, The art of computer programming, volume 3: (2nd ed.) sorting and searching Addison Wesley Longman Publishing Co., Inc.. ,(1998)
Babak Bagheri, L. Ridgway Scott, Terry Clark, Scientific Parallel Computing ,(2005)
John R. Allen, Ken Kennedy, Optimizing Compilers for Modern Architectures: A Dependence-based Approach ,(2001)
James B. Anderson, Quantum Monte Carlo: Origins, Development, Applications ,(2007)
Allen, Optimizing Compilers for Modern Architectures ,(2004)
Hossein Ahmadi, Maryam Moslemi Naeini, Hamid Sarbazi-azad, Efficient SIMD Numerical Interpolation High Performance Computing and Communications. pp. 156- 165 ,(2005) , 10.1007/11557654_21
Donald Ervin Knuth, Sorting and Searching ,(1973)
George Marsaglia, Wai Wan Tsang, Jingbo Wang, Evaluating Kolmogorov's distribution Journal of Statistical Software. ,vol. 8, pp. 1- 4 ,(2003) , 10.18637/JSS.V008.I18
Kamran Karimi, Neil G Dickson, Firas Hamze, Mohammad HS Amin, Marshall Drew-Brook, Fabian A Chudak, Paul I Bunyk, William G Macready, Geordie Rose, Investigating the performance of an adiabatic quantum optimization processor Quantum Information Processing. ,vol. 11, pp. 77- 88 ,(2012) , 10.1007/S11128-011-0235-0
Wen-mei W. Hwu, David B. Kirk, Programming Massively Parallel Processors: A Hands-on Approach Morgan Kaufmann. ,(2012)