Final Project Report: Data Locality Enhancement of Dynamic Simulations for Exascale Computing

Shen, Xipeng¹ 

[1] North Carolina State Univ., Raleigh, NC (United States)

关键词: GPU;    Manycore;    Compilation;    Optimizations;    Scientific Simulations;    Data Locality;   

DOI  :  10.2172/1249192
RP-ID  :  DOE-WM--SC0006875-2
PID  :  OSTI ID: 1249192
Others  :  Other: 9195137577

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The goal of this project is to develop a set of techniques and software tools to enhance the matching between memory accesses in dynamic simulations and the prominent features of modern and future manycore systems, alleviating the memory performance issues for exascale computing. In the first three years, the PI and his group have achieves some significant progress towards the goal, producing a set of novel techniques for improving the memory performance and data locality in manycore systems, yielding 18 conference and workshop papers and 4 journal papers and graduating 6 Ph.Ds. This report summarizes the research results of this project through that period.