University of Tennessee (J. Dongarra)
Stage 2: today
Stage 3: 3rd quarter 1999
Stage 4: 3rd quarter 2000
Stage 5: 3rd quarter 2001

ATLAS is an approach for the automatic generation and optimization of numerical software for processors with deep memory hierarchies and pipelined functional units. The production of such software for machines ranging from desktop workstations to embedded processors can be a tedious and time consuming task. ATLAS has been designed to automate much of this process. We concentrate our efforts on the widely used linear algebra kernels called the Basic Linear Algebra Subroutines (BLAS). In particular, our initial work is for general matrix multiply, DGEMM. However much of the technology and approach developed here can be applied to the other Level 3 BLAS. The general strategy can have an impact on basic linear algebra operations in general and may be extended to other important kernel operations, such as sparse operations.

For additional information see:

[NPACI Roadmap]
[AppLeS] [ATLAS] [HyperSQL] [KeLP] [LAPACK]
[Legion] [Metadata browser] [NetSolve] [Planguages]
[QueryDesigner] [QML] [ScaLAPACK]

Last modified: Wed Jan 20 16:40:30 1999