As multicore architectures gain widespread use, it becomes increasingly important to be able to harness their additional processing power to achieve higher performance. However, exploiting parallel cores to improve single-program performance is difficult from a programmer's perspective because most existing programming languages dictate a sequential method of execution. Stream programming, which organizes programs by independent filters communicating over explicit data channels, exposes useful types of parallelism that can be exploited. However, there is still the burden of mapping high-level stream programs to specific multicore architectures. The complexities of each architecture's underlying details makes it difficult to schedule the execution of a stream program with high performance. In this paper, we present the specifications for an intermediate layer between the stream program and the target architecture. This multicore streaming layer (MSL) provides a common level of abstraction that facilitates efficient execution of stream programs by making it easier for compilers to manage computation, and by providing automatic orchestration and optimization of communication when appropriate. We implemented a framework for one such instance of the MSL targeted to the Cell processor and the StreamIt language and achieved greater than 88% utilization on all benchmarks with relatively small amounts of code. The framework can also be applied to other architectures and stream programming languages to enhance generality and portability.
End of preview. The entire article is 10 pages. To view the full-text, please rent this article to continue.
/lp/association-for-computing-machinery/a-lightweight-streaming-layer-for-multicore-execution-3dSQCUTzdK
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
A lightweight streaming layer for multicore execution
Zhang, David; Li, Qiuyuan J.; Rabbah, Rodric; Amarasinghe, Saman
Follow ACM SIGARCH Computer Architecture News
, Volume 36 (2)
Association for Computing Machinery – May 1, 2008
More Info
More Like This Article
View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct
© 2012 DeepDyve, Inc. All rights reserved.
Terms of Service | Privacy Policy
