Software research @ NALAG

Almost all of the fundamental and more applied research of NALAG is complemented by the design and implementation of the corresponding algorithms. In the Flanders ExaScale Lab project, hosted by Intel, the goal is to prepare algorithms and hardware for the next generation supercomputers. Major challenges are the reduction of the energy cost of algorithms (rather than the classical flop count), the complex memory hierarchy that such systems will have, and dealing with hardware faults that may occur during a computation. The NALAG research group is involved in the development of Krylov methods and preconditioning for the solution of linear systems.
The GLAS project wants to deveop C++ code for Generic Linear Algebra Software.
Some of the software produced by the group is made available on the software page of the research group.