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Symbolic Parallelization of Nested Loop Programs
Paperback

Symbolic Parallelization of Nested Loop Programs

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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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MORE INFO
Format
Paperback
Publisher
Springer Nature Switzerland AG
Country
Switzerland
Date
19 December 2018
Pages
176
ISBN
9783030088842

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.

Read More
Format
Paperback
Publisher
Springer Nature Switzerland AG
Country
Switzerland
Date
19 December 2018
Pages
176
ISBN
9783030088842