Active-learning-based surrogate models for empirical performance tuning

Author:

Balaprakash Prasanna,Gramacy Robert B.,Wild Stefan M.

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficiently Learning Locality Optimizations by Decomposing Transformation Domains;Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction;2023-02-17

2. ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments;2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS);2022-11

3. Predicting number of threads using balanced datasets for openMP regions;Computing;2022-04-30

4. Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization;Concurrency and Computation: Practice and Experience;2021-11-08

5. Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3