GPU Solutions to Multi-scale Problems in Science and Engineering
David A. Yuen, Long Wang, Xuebin Chi, Lennart Johnsson, Wei Ge, Yaolin Shi
Springer Science & Business Media, Jan 9, 2013 - Computers - 693 pages
This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.
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achieved algorithm applications architecture array bandwidth block boid buffer cache calculation cell communication complex core CPU and GPU CUBLAS CUDA D. A. Yuen data structure data transfer depth peeling developed discrete domain double precision dynamics efficiency elements equation evaluation flow fluid fragment function GFLOPS global memory GPGPU GPU cluster GPU computing GPU devices GPU implementation GPU memory GPU Solutions GPU-based graphics processing units grid hardware HMPP host input Intel interactive iterative kernel linear LINPACK matrix multiplication method MS-Alignment multi-core multi-GPU Multi-scale Problems multigrid network coding node NVIDIA NVIDIA Corporation NVIDIA Tesla OpenCL OpenMP operations optimization parallel computing particle peak pixel processors programming RapidMind requires RTCG scale server shared memory simulation single GPU Solutions to Multi-scale solve solver sparse matrix speedup step Supercomputing Tesla threads tumor values vector velocity visualization voxels Wang WebViz