Search Results for author: Tim Besard

Found 2 papers, 1 papers with code

Flexible Performant GEMM Kernels on GPUs

2 code implementations25 Sep 2020 Thomas Faingnaert, Tim Besard, Bjorn De Sutter

The interfaces and abstractions are co-designed for researchers' needs and Julia's features to achieve sufficient separation of concerns and flexibility to easily extend basic GEMMs in many different ways without paying a performance price.

Effective Extensible Programming: Unleashing Julia on GPUs

no code implementations8 Dec 2017 Tim Besard, Christophe Foket, Bjorn De Sutter

We evaluate our approach by adding support for NVIDIA GPUs to the Julia programming language.

Programming Languages Distributed, Parallel, and Cluster Computing

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