Written in EnglishRead online
Includes bibliographical references and index.
|Statement||edited by Hans Frenk ... [et al.].|
|Series||Applied optimization -- v. 33|
|LC Classifications||QA402.5 .H54 2000|
|The Physical Object|
|Pagination||xxii, 473 p. :|
|Number of Pages||473|
|LC Control Number||99048723|
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This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems.
The second part reviews today's most exciting research topics and results in the area of convex : Hardcover. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part High performance optimization book a thorough treatment of interior point methods for semidefinite programming problems.
The second part reviews today's most exciting research topics and results in the area of convex optimization. The book includes detailed chapters on compiler optimization; profiling and timing code; algorithmic approaches to parallelism such as compiler directives, threads, and message passing.
It also demonstrates powerful techniques for enhancing performance through the use of mathematical libraries, mathematical kernels, and equation-solving techniques such as LU decomposition/5(6).
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Search for Library Items Search for Lists Search for Contacts Search for a Library. Create Book, Internet Resource: All Authors / Contributors: Hans Frenk. Find more information about: ISBN: OCLC Number: High Performance MySQL is the definitive guide to building fast, reliable systems with MySQL.
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Very practical book about performance optimization in Python. The reader is introduced to various tools and practices to help improve the performance of existing Python programs. The approach is well described and very methodological/5(12). Revealing the secrets of the processor optimization process, this guide provides recipes for high-performance application on the Pentium III and Pentium 4 processors.
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Zawodny and Arjen Lentz and Derek J. Balling Published by OReilly Media (). Until now, the experimental parametric analysis remains as the main method during AM optimization.
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Chapter High-Performance Ray Tracing. Chapter Portable Performance with OpenCL. Chapter Characterization and Optimization Methodology Applied to Stencil Computations. Chapter Profiling-Guided Optimization. Chapter Heterogeneous MPI optimization with ITAC. Chapter Scalable Out-of-Core Solvers on a Cluster.
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Book Description. High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications.
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