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

By Samuel P. Midkiff

Compiling for parallelism is a longstanding subject of compiler examine. This publication describes the basic ideas of compiling "regular" numerical courses for parallelism. we commence 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 let modifications that make loops extra amenable to parallelization, and talk about ameliorations that divulge parallelism to focus on shared reminiscence multicore and vector processors. We then talk about a few difficulties that come up whilst parallelizing courses for execution on allotted reminiscence machines. eventually, we finish with an outline of fixing Diophantine equations and proposals for additional readings within the issues of this e-book to let the reader to delve deeper into the field.

Table of Contents: advent and evaluation / Dependence research, dependence graphs and alias research / application parallelization / adjustments to change and cast off dependences / Transformation of iterative and recursive constructs / Compiling for disbursed reminiscence machines / fixing Diophantine equations / A advisor to extra reading

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


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