16 citations · 16 across the 4 of their papers we have counts for
4 papers
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution
Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen +1
Computed tomography (CT) reconstruction plays a crucial role in industrial nondestructive testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high-qual…
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…
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
Richard Schoonhoven, Allard A. Hendriksen, Daniël M. Pelt +1
Neural network pruning techniques can substantially reduce the computational cost of applying convolutional neural networks (CNNs). Common pruning methods determine which convoluti…