**Automatically Tuned Linear Algebra Software (ATLAS)**

Computer Science Department

University of Tennessee

Knoxville, TN 37996-1301

and

Mathematical Sciences Section

Oak Ridge National Laboratory

Oak Ridge, TN 37831

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.

**Figure 1:** ATLAS/vendor performance preview

The alpha release of ATLAS can be found at
`www.netlib.org/utk/projects/atlas`

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Sun Nov 16 00:04:41 EST 1997