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portada Performance Optimization of Numerically Intensive Codes
Type
Physical Book
Collection
Software Environments and Tools
Year
2001
Language
English
Pages
184
Format
Paperback
Dimensions
22.8x15.1x0.9 cm
ISBN13
9780898714845

Performance Optimization of Numerically Intensive Codes

Stefan Goedecker;Adolfy Hoisie (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Performance Optimization of Numerically Intensive Codes - Stefan Goedecker;Adolfy Hoisie

New Book Imported to Taiwan
Delivery: 06 Oct - 14 Oct Shipping: 14 to 15 business days.
NT$ 3,942
NT$ 3,942

Synopsis "Performance Optimization of Numerically Intensive Codes"

Offers a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of all the essential ingredients for achieving high performance in numerical computations on modern computers.

Offers a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of all the essential ingredients for achieving high performance in numerical computations on modern computers. The authors explain computer architectures, data traffic, and issues related to performance of serial and parallel code optimization exemplified by actual programs written for algorithms of wide interest. The unique hands-on style is achieved by extensive case studies using realistic computational problems. The performance gain obtained by applying the techniques described in this book can be very significant.

The book bridges the gap between the literature in system architecture, the one in numerical methods and the occasional descriptions of optimization topics in computer vendors' literature. It also allows readers to better judge the suitability of certain computer architecture to their computational requirements. In contrast to standard textbooks on computer architecture and on programming techniques the book treats these topics together at the level necessary for writing high-performance programs. The book facilitates easy access to these topics for computational scientists and engineers mainly interested in practical issues related to efficient code development.

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