44 citations · 81 across the 8 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
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…