G. Goulas, P. Alefragis, N. Voros, Christos Valouxis, Christos G Gogos, N. Kavvadias, G. Dimitroulakos, K. Masselos, D. Göhringer, Steven Derrien, D. Ménard, O. Sentieys, M. Hübner, Timo Stripf, Oliver Oey, J. Becker, G. Rauwerda, K. Sunesen, D. Kritharidis, N. Mitas
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引用次数: 1
Abstract
While advances in processor architecture continues to increase hardware parallelism, parallel software creation is hard. There is an increasing need for tools and methodologies to narrow the entry gap for non-experts in parallel software development as well as to streamline the work for experts. This paper presents the methodology and algorithms for the creation of parallel software written in Scilab source code for multicore embedded processors in the context of the “Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb” (ALMA) EU FP7 project. The ALMA parallelization approach in a nutshell attempts to manage the complexity of the task by alternating focus between very localized and holistic view program optimization strategies.
虽然处理器架构的进步不断提高硬件的并行性，但并行软件的创建是困难的。越来越需要工具和方法来缩小并行软件开发中非专家的入门差距，并简化专家的工作。本文介绍了在“面向架构的并行化高性能嵌入式多核系统使用Scilab”(ALMA) EU FP7项目背景下，用Scilab源代码为多核嵌入式处理器编写并行软件的方法和算法。简而言之，ALMA并行化方法试图通过在非常局部和整体视图程序优化策略之间交替关注来管理任务的复杂性。
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