Session: ESPM2 2020: Fifth International Workshop on Extreme Scale Programming Models and Middleware

Compiler Abstractions and Runtime for Extreme-Scale SAR and CFD Workloads

Wednesday, November 11, 2020

5:55 PM – 6:10 PM ET

Channel: Track 2

Author/Presenter(s)

CI

Connor Imes

University of Southern California
AC

Alexei Colin

University of Southern California
NZ

Naifeng Zhang

University of Southern California, United States of America
AS

Ajitesh Srivastava

University of Southern California, United States of America
VP

Viktor Prasanna

University of Southern California
Los Angeles
JW

John Paul Walters

University of Southern California

As HPC progresses toward exascale, writing applications that are highly efficient, portable, and support programmer productivity is becoming more challenging than ever. The growing scale, diversity, and heterogeneity in compute platforms increases the burden on software to efficiently use available distributed parallel resources. This burden has fallen on developers who, increasingly, are experts in application domains rather than traditional computer scientists and engineers. We propose CASPER—Compiler Abstractions Supporting high Performance on Extreme-scale Resources—a novel domain-specific compiler and runtime framework to enable domain scientists to achieve high performance and scalability on complex HPC systems. CASPER extends domain-specific languages with machine learning to map software tasks to distributed, heterogeneous resources, and provides a runtime framework to support a variety of adaptive runtime optimizations for dynamic environments. This paper presents an initial design and analysis of the CASPER framework for synthetic aperture radar and computational fluid dynamics domains.