Work

Automatic and Interactive Program Parallelization Using the Cetus Source to Source Compiler Infrastructure v2.0

Year: 2022

Type: article

Abstract: This paper presents an overview and evaluation of the existing and newly added analysis and transformation techniques in the Cetus source-to-source compiler infrastructure. Cetus is used for research on compiler optimizations for multi-cores with an emphasis on automatic parallelization. The compiler has gone through several iterations of benchmark studies and implementations of those techniques that could improve the parallel performance of these programs. This work seeks to measure the impact of the existing Cetus techniques on the newer versions of some of these benchmarks. In addition, we describe and evaluate the recent advances made in Cetus, which are the capability of analyzing subscripted subscripts and a feature for interactive parallelization. Cetus started as a class project in the 1990s and grew with support from Purdue University and from the National Science Foundation (NSF), as well as through countless volunteer projects by enthusiastic students. While many Version-1 releases were distributed via the Purdue download site, Version 2 is being readied for release from the University of Delaware.

Source: Electronics

DOI: 10.3390/electronics11050809

Authors: Akshay Bhosale, Parinaz Barakhshan, Miguel Romero Rosas, Rudolf Eigenmann

Institution: University of Delaware

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,094

Funders: National Science Foundation, University of Delaware