ACOTES Project: Advanced Compiler Technologies for Embedded Streaming
Résumé
Streaming applications are built of data-driven, computational components, consuming and producing unbounded data streams. Streaming oriented systems have become dominant in a wide range of domains, including embedded applications and DSPs. However, programming efficiently for streaming architectures is a challenging task, having to carefully partition the computation and map it to processes in a way that best matches the underlying streaming architecture, taking into account the distributed resources (memory, processing, real-time requirements) and communication overheads (processing and delay). These challenges have led to a number of suggested solutions, whose goal is to improve the programmer's productivity in developing applications that process massive streams of data on programmable, parallel embedded architectures. StreamIt is one such example. Another more recent approach is that developed by the ACOTES project (Advanced Compiler Technologies for Embedded Streaming). The ACOTES approach for streaming applications consists of compiler-assisted mapping of streaming tasks to highly parallel systems in order to maximize cost-effectiveness, both in terms of energy and in terms of design effort. The analysis and transformation techniques automate large parts of the partitioning and mapping process, based on the properties of the application domain, on the quantitative information about the target systems, and on programmer directives. This paper presents the outcomes of the ACOTES project, a 3-year collaborative work of industrial (NXP, ST, IBM, Silicon Hive, NOKIA) and academic (UPC, INRIA, MINES ParisTech) partners, and advocates the use of Advanced Compiler Technologies that we developed to support Embedded Streaming.
Mots clés
Embedded architecture
HiPEAC
Large parts
Mapping process
Parallel system
Parallelisation
Quantitative information
Real time requirement
Streaming applications
Streaming architecture
Target systems
Transformation techniques
Application domains
Best match
Collaborative Work
Communication overheads
Compiler technology
Compiler-assisted
Compilers
Computational components
Data stream
Data-driven
Design effort
Distributed resources
Embedded application
Domaines
Langage de programmation [cs.PL]
Origine : Fichiers produits par l'(les) auteur(s)
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