symbolic parallelization nested loop von tanase alexandru petru (6 Ergebnisse)

Hardcover. Zustand: Brand New. 190 pages. 9.25x6.10x0.70 inches. In Stock.

Taschenbuch. Zustand: Neu. Symbolic Parallelization of Nested Loop Programs | Alexandru-Petru Tanase (u. a.) | Taschenbuch | xii | Englisch | 2018 | Springer | EAN 9783030088842 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Neuware -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-timecompilation. The new, on¿demand fault¿tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.

Paperback. Zustand: Brand New. reprint edition. 176 pages. 9.25x6.10x0.43 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.