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Intel threading building blocks : outfitting C++ for multi-core processor parallelism /
Multi-core chips from Intel and AMD offer a dramatic boost in speed and responsiveness, and plenty of opportunities for multiprocessing on ordinary desktop computers. But they also present a challenge: More than ever, multithreading is a requirement for good performance. This guide explains how to m...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, Calif. :
O'Reilly Media,
2007.
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| Edición: | 1st ed. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Reinders, James. | |
| 245 | 1 | 0 | |a Intel threading building blocks : |b outfitting C++ for multi-core processor parallelism / |c James Reinders. |
| 246 | 3 | 0 | |a Outfitting C++ for multi-core processor parallelism |
| 250 | |a 1st ed. | ||
| 260 | |a Sebastopol, Calif. : |b O'Reilly Media, |c 2007. | ||
| 300 | |a 1 online resource (xxv, 303 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 292-295) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Why threading building blocks? -- Thinking parallel -- Basic algorithms -- Advanced algorithms -- Containers -- Scalable memory allocation -- Mutual exclusion -- Timing -- Task scheduler -- Keys to success -- Examples -- History and related projects. | |
| 520 | |a Multi-core chips from Intel and AMD offer a dramatic boost in speed and responsiveness, and plenty of opportunities for multiprocessing on ordinary desktop computers. But they also present a challenge: More than ever, multithreading is a requirement for good performance. This guide explains how to maximize the benefits of these processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems. With it, you'll learn how to use Intel Threading Building Blocks (TBB) effectively for parallel programming -- without having to be a threading expert. | ||
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