1 citations · 1 across the 4 of their papers we have counts for
5 papers
Constraint-aware Optimization in Auto-Tuning
Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort +1
Automatic performance tuning, or auto-tuning, is a key technique in high-performance computing, enabling applications to adapt to complex and evolving hardware architectures. A cen…
Efficient Construction of Large Search Spaces for Auto-Tuning
Floris-Jan Willemsen, Rob V. van Nieuwpoort, Ben van Werkhoven
Automatic performance tuning, or auto-tuning, accelerates high-performance codes by exploring vast spaces of code variants. However, due to the large number of possible combination…
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…