Mechanizing the expert dense linear algebra developer

The efforts of an expert to parallelize and optimize a dense linear algebra algorithm for distributed-memory targets are largely mechanical and repetitive. We demonstrate that these efforts can be encoded and automatically applied to obviate the manual implementation of many algorithms in high-performance code.

• Type: Journal
• Year: 2012
• Where: PPOPP
• Authors: Bryan Marker, Andy Terrel, Jack Poulson, Don S. Batory, Robert A. van de Geijn
• Keywords: Algorithms, Dense Linear Algebra, Distributed And Parallel Computing, Performance Code, PPOPP 2012