Scalable parallel programming with CUDAThis article consists of a collection of slides providing an overview of the IEEE Hot Chips 20 Tutorial.2008 IEEE Hot Chips 20 Symposium: IEEE Hot Chips 20th Symposium (HCS), 24-26 Aug. 2008, Stanford, CA, USA
Programming Massively Parallel Processors with CUDA (audio course) | David B. Kirk, Wen-Mei W. Hwu | Book, Computer science, CUDA, nVidia, OpenCL, Package,... DB Kirk,WMW Hwu - hgpu.org 被引量: 3发表: 2011年 Parallel Programming with NVIDIA CUDA. The article presents an in-depth an...
(ISCCCA-13) Scalable Parallel Motion Estimation on Muti-GPU system Dong Chen, Huayou Su, Wen Mei, Lixuan Wang, Chunyuan Zhang Computer School National University of Defense Technology ChangSha, China chendong@nudt.edu.cn Abstract—With NVIDIA's parallel computing architecture CUDA, using GPU to ...
Directive-based programming models provide an easy on-ramp to parallel computing on GPUs, CPUs, and other devices. If standard languages don’t have the flexibility or features you need to get good performance, augment with directives and remain portable to other compilers and platforms. CUDA CUDA...
(HPC), programming language extensions include OpenACC [2] and OpenMP [3] that provide a directive-based parallel programming model, CUDA [4] and OpenCL [5] for GPGPU and accelerator programming, co-array Fortran (CAF) [6], High-Performance Fortran (HPF) [7], and Unified Parallel C (...
Halfhill, T.R.: Parallel Processing with CUDA. Microprocessor Report (January 2008) Google Scholar Lindholm, E., Nickolls, J., Oberman, S., Montrym, J.: NVIDIA Tesla: A unified graphics and computing architecture. IEEE Micro. 28(2), 39–55 (2008) Article Google Scholar Wasson, S....
[1] present a benchmarking methodology to evaluate parallel programming interfaces (PPIs) for single-board computers (SBCs) within the Compute Continuum. The authors assess various PPIs, including OpenMP, FastFlow, and CUDA, to identify the optimal approach for diverse computational patterns and ...
& Liu, X. Accelerating genetic algorithm for solving graph coloring problem based on CUDA architecture. In Bio-Inspired Computing—Theories and Applications 578–584 (Springer, 2014). Ma, Y., Zeng, X. & Yu, B. Methodologies for layout decomposition and mask optimization: a systematic review. ...
together in SLI mode is not possible with the Parallel Computing Toolbox 6.0 (R2012a). The reason for this is because the CUDA engine still sees the two GPU's as separate devices even though they are connected via SLI. This is documented in section ...
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