Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes

25 March 2022

Papers citing "Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes"

9 / 9 papers shown

Title
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 83 1 0 24 Jun 2024
Bayesian Optimization for auto-tuning GPU kernels Floris-Jan Willemsen Rob van Nieuwpoort Ben van Werkhoven 40 21 0 26 Nov 2021
LS-CAT: A Large-Scale CUDA AutoTuning Dataset Lars Bjertnes Jacob O. Tørring A. Elster 21 5 0 26 Mar 2021
Predicting Performance of Software Configurations: There is no Silver Bullet A. Grebhahn Norbert Siegmund S. Apel 33 14 0 28 Nov 2019
Multitask and Transfer Learning for Autotuning Exascale Applications Wissam M. Sid-Lakhdar M. Aznaveh Xin Li J. Demmel 36 11 0 15 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 663 5,808 0 25 Jul 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 203 1,098 0 04 Jul 2018
ImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems Thomas L. Falch A. Elster VLM 18 9 0 20 May 2016
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 356 7,942 0 13 Jun 2012