J.J.: Compiler-optimized kernels: An efficient alternative to hand-coded inner kernels

Abstract. The use of highly optimized inner kernels is of paramount im-portance for obtaining efficient numerical algorithms. Often, such kernels are created by hand. In this paper, however, we present an alternative way to produce efficient matrix multiplication kernels based on a set of simple codes which can be parameterized at compilation time. Using the resulting kernels we have been able to produce high performance sparse and dense linear algebra codes on a variety of platforms.