Year: 2009
Type: article
Abstract: This study focuses on the key numerical technique of stencil computations, used in many different scientific disciplines, and illustrates how auto-tuning can be used to produce very efficient implementations across a diverse set of current multicore architectures.
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G102163711, G107546177, G1286236842, G1313983767, G1664757510, G1863003419, G2287611682, G262962599, G2638771445, G3075337988, G3083819904, G419881185, G42916606, G4501827968, G498139845, G513797252, G6848031779, G6918803902, ITR/NGS: Automatic Performance Tuning for Large Scale Scientific Applications, G969889393, G993149817
OpenAlex ID: W2622151058