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An unified parallel C compiler that implements automatic communication aggregation
Barton, Christopher; Almási, George; Farreras Esclusa, Montserrat; Amaral, José Nelson
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CAP - Grup de Computació d´Altes Prestacions
Partitioned Global Address Space (PGAS) programming languages, such as Unified Parallel C (UPC), offer an attractive high-productivity programming model for programming large-scale parallel machines. PGAS languages partition the application’s address space into private, shared-local and shared-remote memory. When running in a distributed-memory environment, accessing shared-remote memory leads to implicit communication. For fine-grained accesses, which are frequently found in UPC programs, this communication overhead can significantly impact program performance. One solution for reducing the number of fine-grained accesses is to coalesce several accesses into a single access. This paper presents an analysis to identify opportunities for coalescing and an algorithm that allows the compiler to automatically coalesce accesses to shared-remote memory in UPC. It also describes how opportunities for coalescing can be created by the compiler through loop unrolling. Results obtained from coalescing accesses in manually-unrolled parallel loops are presented to demonstrate the benefit of combining parallel loop unrolling and communication coalescing.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
Parallel programming (Computer science)
Programació en paral·lel (Informàtica)
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
         

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