3 citations · 3 across the 2 of their papers we have counts for
3 papers
Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes
Jacob O. Tørring, Anne C. Elster
Modern computing systems are increasingly more complex, with their multicore CPUs and GPUs accelerators changing yearly, if not more often. It thus has become very challenging to w…
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…
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…