3D parallel conjugate gradient solver optimized for GPUs

conference paper
conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE) in Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation

p. 1
https://doi.org/10.1109/cefc.2010.5481308

Abstract

Conjugate gradient (CG) solver implementations optimized for GPUs are developed and applied to a 3D finite element (FEM) problem. Results show that our GPUs implementations have a superior improvement in computational performance than cluster and other GPU implementations, due to algorithm and other architecture dependent optimizations.

Keywords

CHARACTER GENERATION
PARALLEL PROCESSING
CONCURRENT COMPUTING
COSTS
DATA STRUCTURES
CLUSTERING ALGORITHMS
ENERGY CONSUMPTION
FINITE ELEMENT METHODS
COMPUTER ARCHITECTURE
HIGH PERFORMANCE COMPUTING

This publication has 2 references indexed in Scilit:

Superlinear Speedup in a 3-D Parallel Conjugate Gradient Solver
IEEE Transactions on Magnetics, 2009
GPU Computing
Proceedings of the IEEE, 2008

Cited by 5 articles