1 citations · 1 across the 3 of their papers we have counts for
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Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs
Milo Lurati, Stijn Heldens, Alessio Sclocco +1
Many studies have focused on developing and improving auto-tuning algorithms for Nvidia Graphics Processing Units (GPUs), but the effectiveness and efficiency of these approaches o…
Lightning: Scaling the GPU Programming Model Beyond a Single GPU
Stijn Heldens, Pieter Hijma, Ben van Werkhoven +2
The GPU programming model is primarily aimed at the development of applications that run one GPU. However, this limits the scalability of GPU code to the capabilities of a single G…
Rocket: Efficient and Scalable All-Pairs Computations on Heterogeneous Platforms
Stijn Heldens, Pieter Hijma, Ben van Werkhoven +3
All-pairs compute problems apply a user-defined function to each combination of two items of a given data set. Although these problems present an abundance of parallelism, data reu…