- We will send in 10–14 business days.
/images/books/13058112/9783319739083.jpg)
- Author: Alexandru-Petru Tanase
- Publisher: Springer
- ISBN-10: 3319739085
- ISBN-13: 9783319739083
- Format: 15.6 x 23.4 x 1.3 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Symbolic Parallelization of Nested Loop Programs (e-book) (used book) | bookbook.eu
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.19:07:42
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Alexandru-Petru Tanase
- Publisher: Springer
- ISBN-10: 3319739085
- ISBN-13: 9783319739083
- Format: 15.6 x 23.4 x 1.3 cm, kieti viršeliai
- Language: English 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.
Reviews