3 papers
cs.DC2021
LS-CAT: A Large-Scale CUDA AutoTuning Dataset
Lars Bjertnes, Jacob O. Tørring, Anne C. Elster
The effectiveness of Machine Learning (ML) methods depend on access to large suitable datasets. In this article, we present how we build the LS-CAT (Large-Scale CUDA AutoTuning) da…
cs.DC2021
Autotuning Benchmarking Techniques: A Roofline Model Case Study
Jacob Odgård Tørring, Jan Christian Meyer, Anne C. Elster
Peak performance metrics published by vendors often do not correspond to what can be achieved in practice. It is therefore of great interest to do extensive benchmarking on core ap…
cs.DC2016
ImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems
Thomas L. Falch, Anne C. Elster
Modern computer systems typically conbine multicore CPUs with accelerators like GPUs for inproved performance and energy efficiency. However, these sys- tems suffer from poor perfo…