An Automated Machine Learning Approach For Data Locality Optimizations In Chapel

2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2020)（2020）

引用 0|浏览13

暂无评分

摘要

This talk will cover a machine learning approach for automated locality optimizations in Chapel. With this approach, applications that do not have any optimizations specific to distributed memory can scale with almost no programmer effort.

查看译文

关键词

distributed memory,data locality optimizations,Chapel,automated locality optimizations,machine learning

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要