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Synopsis
The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow.
Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.
Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.
The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes the application in MATLAB of standard tuning techniques used in the software industry, as well as methods that are specific to MATLAB such as using different data types or built-in functions.
The book discusses MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB's memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.
Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.
Supported by an active website and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.
"synopsis" may belong to another edition of this title.
Review
... a very interesting new book on MATLAB® performance ... covering basic tools and an appropriate range of specific programming techniques. The book seems to take a whole-system approach ... helping readers understand the big picture of how to get better performance.
―Michelle Hirsch, Ph.D., Head of MATLAB® Product Management, The MathWorks Inc.
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2014
- ISBN 10 1482211297
- ISBN 13 9781482211290
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages792
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Accelerating MATLAB Performance: 1001 Tips to Speed Up MATLAB Programs
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs
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ISBN 10: 1482211297
ISBN 13: 9781482211290
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs
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Chapman and Hall/CRC 2015-02-09, 2015
ISBN 10: 1482211297
ISBN 13: 9781482211290
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Accelerating MATLAB Performance (Hardcover)
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Taylor & Francis Inc, Oakville, 2014
ISBN 10: 1482211297
ISBN 13: 9781482211290
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Hardcover. Condition: new. Hardcover. The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLABs memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781482211290
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs
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MATLAB Performance Tuning
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Accelerating MATLAB Performance (Hardcover)
Published by
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ISBN 10: 1482211297
ISBN 13: 9781482211290
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Hardcover. Condition: new. Hardcover. The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLABs memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781482211290
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MATLAB Performance Tuning
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Accelerating Matlab Performance: 1001 Tips to Speed Up Matlab Programs
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