activity
20202025
most citedBenchmarking optimization algorithms for auto-tuning GPU kernels

16 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PF2025

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…

cs.DC2022

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…

cs.DC2022★ 16 cited

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…

cs.DC2022★ 1 cited

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…

astro-ph.IM2020

Scaling performance of the SAGECal calibration package: from LOFAR to SKA

H. Spreeuw, S. Yatawatta, B. Van Werkhoven +1

This decade, the Square Kilometre Array (SKA) will perform its first observations. Preparations for building dishes, antennas, correlators and infrastructure are well underway. Con…