Speaker
Thomas Ericsson
(Chalmers University)
Description
In this lecture techniques for speeding up code on a
uniprocessor are presented. The lecture covers basic
optimization principles such as using the memory hierarchy
in an efficient way. Using short code examples, the lecture
covers stride minimization, blocking, loop- fusion, loop-
splitting and other approaches. The choice of programming
language (Fortran or C), and compiler will be discussed.
There are some hints of how to tune Matlab programs.
Other topics are vector arithmetic for floating point and
elementary functions, virtual memory, files and the LAPACK
and BLAS libraries.
