Parallel Computing: Architectures, Algorithms and Applications
A large body of existing, sequential applications must be migrated to multicore platforms with maximum transparency. To achieve this, techniques for automatic parallelization must be pushed to their limits, and current shared memory programming paradigms must be reconsidered with respect to their...
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| Những tác giả chính: | , , , , , , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
IOS Press
2013
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35175 |
| Các nhãn: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | A large body of existing, sequential applications must be migrated to multicore platforms
with maximum transparency. To achieve this, techniques for automatic parallelization must
be pushed to their limits, and current shared memory programming paradigms must be reconsidered
with respect to their ease of use, performance characteristics and ability to support a
wide range of programming needs. Despite advances in automated and dynamic exposure of
exploitable parallelism, the application developer will frequently need to support the process of
code migration by making the parallelism in a program explicit. One of the most straightforward
ways in which this can be done is by inserting the directives or pragmas of the portable
OpenMP shared memory programming interface, a de facto standard. |
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