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 was designed to automate much of this process. The package generates efficient code for basic linear algebra operations and contains code generators, sophisticated timers, and robust search routines. It adapts itself to differing architectures via code generation coupled with timing.

ATLAS makes use of linear algebra kernels called Basic Linear Algebra Subroutines (BLAS). The BLAS are building blocks for constructing efficient and portable linear algebra software for high-performance computers. They allow exploitation of parallelism in a way that is transparent to the software that calls them.

For more information on ATLAS, see http://www.netlib.org/atlas/index.html or email atlas@cs.utk.edu.