We show empirically that some of the issues that affected the design of linear algebra libraries for distributed memory architectures will also likely affect such libraries for s...
Bryan Marker, Field G. Van Zee, Kazushige Goto, Gr...
Abstract. We introduce a collection of high performance kernels for basic linear algebra. The kernels encapsulate small xed size computations in order to provide building blocks fo...
Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
We describe some major recent progress in exact and symbolic linear algebra. These advances concern the improvement of complexity estimates for fundamental problems such as linear...
Abstract. In this work an architecture of an automatically tuned linear algebra library proposed in previous works is extended in order to adapt it to platforms where both the CPU ...