A Sparse Direct Solver for GPUs

ePubs

The open archive for STFC research publications

Persistent URL	http://purl.org/net/epubs/work/11618400
Record Status	Checked
Record Id	11618400
Title	A Sparse Direct Solver for GPUs
Contributors	Dr J Hogg (STFC Rutherford Appleton Lab.), E Ovtchinnikov (STFC Rutherford Appleton Lab.), J Scott (STFC Rutherford Appleton Lab.)
Abstract	The solution of Ax=b for sparse A is one of the core computation kernels ("dwarves") used in scientific computing. While there are many GPU iterative methods libraries available, these can only tackle a limited range of problems due to preconditioning requirements. On the CPU, black box direct solvers are often the first port of call for more challenging problems, however little GPU support is present in existing libraries. We present a new direct solver library capable of performing entirely on GPU factorization and solve for symmetric problems. The talk will cover our solution to a number of the challenges involved in making this reality, and present results across a number of application areas including FEM and Optimization.
Organisation	STFC , SCI-COMP , SCI-COMP-CM
Keywords
Funding Information
Related Research Object(s):
Licence Information:
Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Presentation	Presented at Oxford e-Research Centre Many-core Seminar, Oxford, UK, 12th February 2014.		sparse_direct_gpu.pdf	2014