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检索条件"主题词=Parallel Programming Interfaces"

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Optimized Use of parallel programming interfaces in Multithreaded Embedded Architectures

Optimized Use of Parallel Programming Interfaces in Multithr...

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IEEE-Computer-Society Annual Symposium on VLSI (ISVLSI)

作者： Lorenzon, Arthur F. Sartor, Anderson L. Cera, Marcia C. Beck, Antonio Carlos Schneider Univ Fed Rio Grande do Sul Inst Informat Porto Alegre RS Brazil Fed Univ Pampa Alegrete Brazil

ISBN: (纸本)9781479987191

Thread-level parallelism (TLP) exploitation for embedded systems has been a challenge for software developers: while it is necessary to take advantage of the availability of multiple cores, it is also mandatory to consume less energy. To speed up the development process and make it as transparent as possible, software designers use parallel programming interfaces (PPIs). However, as will be shown in this paper, each one implements different ways to exchange data, influencing performance, energy consumption and energy-delay product (EDP), which varies across different embedded processors. By evaluating four PPIs and three multicore processors, we demonstrate that it is possible to save up to 62% in energy consumption and achieve up to 88% of EDP improvements by just switching the PPI;and that the efficiency (i.e., the best possible use of the available resources) decreases as the number of threads increases in almost all cases, but at distinct rates.

关键词： parallel programming interfaces Performance and energy efficiency evaluation Multithreaded embedded architectures

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The Influence of parallel programming interfaces on Multicore Embedded Systems 39

The Influence of Parallel Programming Interfaces on Multicor...

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39th IEEE Annual International Computer Software and Applications Conference Workshops (COMPSAC)

作者： Lorenzon, Arthur F. Sartor, Anderson L. Cera, Marcia C. Beck, Antonio Carlos S. Univ Fed Rio Grande do Sul Inst Informat Porto Alegre RS Brazil Fed Univ Pampa Bage RS Brazil

ISBN: (纸本)9781467365635

Thread-Level parallelism (TLP) exploitation for embedded systems has been a challenge for software developers: while it is necessary to take advantage of the availability of multiple cores, it is also mandatory to consume less energy. To speed up the development process and make it as transparent as possible, software designers use parallel programming interfaces (PPIs). However, as will be shown in this paper, each PPI implements different ways to exchange data using shared memory regions, influencing performance, energy consumption and Energy-Delay Product (EDP), which varies across different embedded processors. By evaluating four PPIs and three multicore processors (ARM A8, A9 and Intel Atom), we demonstrate that by simply switching PPI it is possible to save up to 59% in energy consumption and achieve up to 85% of EDP improvements, in the most significant case. We also show that the efficiency (i.e., the best possible use of the available resources) decreases as the number of threads increases in almost all cases, but at distinct rates.

关键词： Multicore embedded systems parallel programming interfaces Energy efficiency evaluation

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AM++: A Generalized Active Message Framework 10

AM++: A Generalized Active Message Framework

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19th International Conference on parallel Architectures and Compilation Techniques

作者： Willcock, Jeremiah J. Hoefler, Torsten Edmonds, Nicholas G. Lumsdaine, Andrew Indiana Univ Bloomington IN 47401 USA

ISBN: (纸本)9781450301787

Active messages have proven to be an effective approach for certain communication problems in high performance computing. Many MPI implementations, as well as runtimes for Partitioned Global Address Space languages, use active messages in their low-level transport layers. However, most active message frameworks have low-level programming interfaces that require significant programming effort to use directly in applications and that also prevent optimization opportunities. In this paper we present AM++, a new user-level library for active messages based on generic programming techniques. Our library allows message handlers to be run in an explicit loop that can be optimized and vectorized by the compiler and that can also be executed in parallel on multicore architectures. Runtime optimizations, such as message combining and filtering, are also provided by the library, removing the need to implement that functionality at the application level. Evaluation of AM++ with distributed-memory graph algorithms shows the usability benefits provided by these library features, as well as their performance advantages.

关键词： Active Messages parallel Graph Algorithms parallel programming interfaces

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