Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality

12 March 2024

Papers citing "Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality"

6 / 6 papers shown

Title
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 60 12 0 28 Mar 2023
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization Matthieu Dorier Romain Egele Prasanna Balaprakash Jaehoon Koo Sandeep Madireddy Srinivasan Ramesh A. Malony R. Ross 51 10 0 03 Oct 2022
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 115 0 31 Jan 2020
Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS Petro B. Liashchynskyi Pavlo Liashchynskyi 62 544 0 12 Dec 2019
High Dimensional Bayesian Optimization Using Dropout Cheng Li Sunil R. Gupta Santu Rana Vu Nguyen Svetha Venkatesh A. Shilton 48 130 0 15 Feb 2018
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,449 0 12 Dec 2010