Titlebook: High Performance Computing for Computational Science - VECPAR 2012; 10th International C Michel Daydé,Osni Marques,Kengo Nakajima Conferenc

gorgeous

Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communicationrts to limit performance as the number of cores increases. We here address this issue by using our own stack based representation of the sparse matrix, and a hybrid parallel programming model combining traditional message passing with one-sided communication. This gives an significantly faster inser

Detain

膽大

Evaluation of Two Parallel Finite Element Implementations of the Time-Dependent Advection Diffusion UDA-enabled GPUs, and compare their performances in terms of time and energy consumption. The parallel CUDA-enabled GPU implementation was derived from the multi-core cluster version. Our experimental results show that a desktop machine with a single CUDA-enabled GPU can achieve performance higher t

amplitude

vascular

Interactive Volume Rendering Based on Ray-Casting for Multi-core Architecturesily executed in parallel. This is due to the fact that the huge number of rays, used to sample the volumetric data, can be processed independently. However, the algorithm’s performance may drop substantially when the complexity/size of the volumetric dataset increases. In this paper, we present thre

Infirm

oxidant

蓋他為秘密

BYRE

Arctic