16 citations · 17 across the 8 of their papers we have counts for
8 papers
PowerSensor3: A Fast and Accurate Open Source Power Measurement Tool
Steven van der Vlugt, Leon Oostrum, Gijs Schoonderbeek +4
Power consumption is a major concern in data centers and HPC applications, with GPUs typically accounting for more than half of system power usage. While accurate power measurement…
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…
Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications
Stijn Heldens, Ben van Werkhoven
Graphic Processing Units (GPUs) have become ubiquitous in scientific computing. However, writing efficient GPU kernels can be challenging due to the need for careful code tuning. T…
Towards a Benchmarking Suite for Kernel Tuners
Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic +3
As computing system become more complex, it is becoming harder for programmers to keep their codes optimized as the hardware gets updated. Autotuners try to alleviate this by hidin…
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven +1
Graphics Processing Units (GPUs) have revolutionized the computing landscape over the past decade. However, the growing energy demands of data centres and computing facilities equi…
Benchmarking optimization algorithms for auto-tuning GPU kernels
Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg
Recent years have witnessed phenomenal growth in the application, and capabilities of Graphical Processing Units (GPUs) due to their high parallel computation power at relatively l…