Bayesian Optimization for auto-tuning GPU kernels

26 November 2021

Papers citing "Bayesian Optimization for auto-tuning GPU kernels"

9 / 9 papers shown

Title
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 53 0 0 24 Jun 2024
Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies A. P. Diéguez Margarita Amor Lopez 11 0 0 24 Oct 2023
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales Xingfu Wu Prasanna Balaprakash Michael Kruse Jaehoon Koo B. Videau P. Hovland V. Taylor B. Geltz Siddhartha Jana Mary W. Hall 32 12 0 28 Mar 2023
Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications Stijn Heldens Ben van Werkhoven 11 1 0 22 Mar 2023
Towards a Benchmarking Suite for Kernel Tuners Jacob O. Tørring Ben van Werkhoven Filip Petrovic Floris-Jan Willemsen Jiri Filipovic A. Elster 19 3 0 15 Mar 2023
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 19 16 0 01 Dec 2022
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization Hengrui Luo Younghyun Cho James Demmel X. Li Yang Liu 11 7 0 03 Jun 2022
Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes Jacob O. Tørring A. Elster 4 3 0 25 Mar 2022
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version) Xingfu Wu Michael Kruse Prasanna Balaprakash H. Finkel P. Hovland V. Taylor Mary W. Hall 32 32 0 27 Apr 2021