Download PDF by Samuel P. Midkiff: Automatic Parallelization: An Overview of Fundamental

By Samuel P. Midkiff

Compiling for parallelism is a longstanding subject of compiler examine. This booklet describes the elemental ideas of compiling "regular" numerical courses for parallelism. we start with an evidence of analyses that let a compiler to appreciate the interplay of knowledge reads and writes in numerous statements and loop iterations in the course of software execution. those analyses contain dependence research, use-def research and pointer research. subsequent, we describe how the result of those analyses are used to allow differences that make loops extra amenable to parallelization, and talk about variations that divulge parallelism to focus on shared reminiscence multicore and vector processors. We then speak about a few difficulties that come up whilst parallelizing courses for execution on allotted reminiscence machines. eventually, we finish with an summary of fixing Diophantine equations and proposals for extra readings within the themes of this ebook to let the reader to delve deeper into the field.

Table of Contents: creation and assessment / Dependence research, dependence graphs and alias research / application parallelization / variations to change and cast off dependences / Transformation of iterative and recursive constructs / Compiling for allotted reminiscence machines / fixing Diophantine equations / A advisor to additional reading

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Automatic Parallelization: An Overview of Fundamental Compiler Techniques by Samuel P. Midkiff


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