From Scilab to multicore embedded systems: Algorithms and methodologies

Author

Goulas, George ; Alefragis, Panayiotis ; Voros, Nikolaos S. ; Valouxis, Christos ; Gogos, Christos ; Kavvadias, Nikolaos ; Dimitroulakos, Grigoris ; Masselos, Kostas ; Goehringer, D. ; Derrien, Steven ; Menard, Daniel ; Sentieys, Olivier ; Huebner, M. ; S

Author_Institution

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

fYear

2012

fDate

16-19 July 2012

Firstpage

268

Lastpage

275

Abstract

While advances in processor architecture continues to increase hardware parallelism, parallel software creation is hard. There is an increasing need for tools and methodologies to narrow the entry gap for non-experts in parallel software development as well as to streamline the work for experts. This paper presents the methodology and algorithms for the creation of parallel software written in Scilab source code for multicore embedded processors in the context of the “Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb” (ALMA) EU FP7 project. The ALMA parallelization approach in a nutshell attempts to manage the complexity of the task by alternating focus between very localized and holistic view program optimization strategies.

Keywords

embedded systems; multiprocessing systems; optimisation; parallel processing; software engineering; ALMA parallelization approach; Scilab source code; architecture oriented parallelization; hardware parallelism; multicore embedded processors; multicore embedded systems; parallel software creation; parallel software development; program optimization strategies; Multicore processing; Optimization; Parallel processing; Software; Tiles; VLIW;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Computer Systems (SAMOS), 2012 International Conference on

Conference_Location

Samos

Print_ISBN

978-1-4673-2295-9

Electronic_ISBN

978-1-4673-2296-6

Type

conf

DOI

10.1109/SAMOS.2012.6404184

Filename

6404184