Symbolic Parallelization of Nested Loop Programs

Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
Cover of the book Symbolic Parallelization of Nested Loop Programs by Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich, Springer International Publishing
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Author: Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich ISBN: 9783319739090
Publisher: Springer International Publishing Publication: February 22, 2018
Imprint: Springer Language: English
Author: Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
ISBN: 9783319739090
Publisher: Springer International Publishing
Publication: February 22, 2018
Imprint: Springer
Language: English

This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors. 

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This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors. 

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