Compiling Scilab to high performance embedded multicore systems

Timo Stripf 1 Oliver Oey 1 Thomas Bruckschloegla 2 Juergen Becker 1 Gerard Rauwerda 3 Kim Sunesen 3 George Goulas 4 Panayiotis Alefragis 4 Nikolaos Voros 4 Steven Derrien 5 Olivier Sentieys 5 Nikolaos Kavvadias 6 Grigoris Dimitroulakos 6 Kostas Masselos 6 Dimitrios Kritharidis 7 Nikolaos Mitas 7 Thomas Perschke 8
1 KIT - Karlsruhe Institute of Technology
2 ITIV - Information Processing Technologies [Karlsruhe]
3 Recore Symtems [Enschede]
4 Technological Educational Institute of Messolonghi [Messolonghi]
5 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
6 University of Peloponnese
7 INTRACOM TELECOM
8 IOSB - Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Abstract : The mapping process of high performance embedded applications to today's multiprocessor system-on-chip devices suffers from a complex toolchain and programming process. The problem is the expression of parallelism with a pure imperative programming language, which is commonly C. This traditional approach limits the mapping, partitioning and the generation of optimized parallel code, and consequently the achievable performance and power consumption of applications from different domains. The Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb (ALMA) European project aims to bridge these hurdles through the introduction and exploitation of a Scilab-based toolchain which enables the efficient mapping of applications on multiprocessor platforms from a high level of abstraction. The holistic solution of the ALMA toolchain allows the complexity of both the application and the architecture to be hidden, which leads to better acceptance, reduced development cost, and shorter time-to-market. Driven by the technology restrictions in chip design, the end of exponential growth of clock speeds and an unavoidable increasing request of computing performance, ALMA is a fundamental step forward in the necessary introduction of novel computing paradigms and methodologies.
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Submitted on : Friday, December 20, 2013 - 2:01:51 PM
Last modification on : Tuesday, October 1, 2019 - 9:14:06 AM

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Timo Stripf, Oliver Oey, Thomas Bruckschloegla, Juergen Becker, Gerard Rauwerda, et al.. Compiling Scilab to high performance embedded multicore systems. Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), Elsevier, 2013, Special Issue on European Projects in Embedded System Design: EPESD2012, 37 (8), pp.1033-1049. ⟨10.1016/j.micpro.2013.07.004⟩. ⟨hal-00921437⟩

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