Coarse-Grain Optimization and Code Generation for Embedded Multicore Systems

Author

Goulas, George ; Valouxis, Christos ; Alefragis, Panayiotis ; Voros, Nikolaos S. ; Oey, Oliver ; Stripf, Timo ; Bruckschloegl, Thomas ; Becker, Jurgen ; Gogos, Christos ; El Moussawi, Ali ; Naullet, Maxime ; Yuki, Tomofumi

Author_Institution

Technol. Educ. Inst. of Mesolonghi, Messolonghi, Greece

fYear

2013

fDate

4-6 Sept. 2013

Firstpage

379

Lastpage

386

Abstract

As processors and systems-on-chip increasingly become multicore, parallel programming remains a difficult, time-consuming and complicated task. End users who are not parallel programming experts have a need to exploit such processors and architectures, using state of the art fourth generation of high programming languages, like Scilab or MATLAB. The ALMA toolset addresses this problem by receiving Scilab code as input and produces parallel code for embedded multiprocessor systems on chip, using platform quasi-agnostic optimisations. In this paper, coarse grain parallelism extraction and optimization issues as well as parallel code generation for the ALMA toolset are discussed.

Keywords

embedded systems; multiprocessing systems; optimisation; parallel languages; parallel programming; parallelising compilers; system-on-chip; ALMA toolset; Scilab code; coarse grain optimization; coarse grain parallelism extraction; embedded multicore system; embedded multiprocessor systems on chip; fourth generation high programming language; parallel code generation; parallel programming; quasi-agnostic optimisation; Algorithms; Data mining; Multicore processing; Optimization; Parallel processing; Program processors; Coarse-Grain Optimization; Parallel Code Generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital System Design (DSD), 2013 Euromicro Conference on

Conference_Location

Los Alamitos, CA

Type

conf

DOI

10.1109/DSD.2013.48

Filename

6628303