Symbolic Parallelization of Nested Loop Programs

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, fo...

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Detaylı Bibliyografya
Asıl Yazarlar: Tanase, Alexandru-Petru (Yazar), Hannig, Frank (Yazar), Teich, Jürgen (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Konular:
Electronic circuits.
Microprocessors.
Computer architecture.
Electronics.
Electronic Circuits and Systems.
Processor Architectures.
Electronics and Microelectronics, Instrumentation.
Online Erişim:Full-text access
OPAC'ta görüntüle
Diğer Bilgiler
Özet: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. .
Fiziksel Özellikler:XII, 176 p. 33 illus. in color. online resource.
ISBN:9783319739090
DOI:10.1007/978-3-319-73909-0

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