Scalable Parallel Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scalable Parallel Computing write by Kai Hwang. This book was released on 1998. Scalable Parallel Computing available in PDF, EPUB and Kindle. This book covers four areas of parallel computing: principles, technology, architecture, and programming. It is suitable for professionals and undergraduates taking courses in computer engineering, parallel processing, computer architecture, scaleable computers or distributed computing.
Scaling Up Machine Learning
Scaling Up Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scaling Up Machine Learning write by Ron Bekkerman. This book was released on 2012. Scaling Up Machine Learning available in PDF, EPUB and Kindle. This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Handbook of Research on Scalable Computing Technologies
Handbook of Research on Scalable Computing Technologies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Scalable Computing Technologies write by Li, Kuan-Ching. This book was released on 2009-07-31. Handbook of Research on Scalable Computing Technologies available in PDF, EPUB and Kindle. "This book presents, discusses, shares ideas, results and experiences on the recent important advances and future challenges on enabling technologies for achieving higher performance"--Provided by publisher.
Structured Parallel Programming
Structured Parallel Programming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structured Parallel Programming write by Michael McCool. This book was released on 2012-06-25. Structured Parallel Programming available in PDF, EPUB and Kindle. Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers
Scalable Parallel Programming Applied to H.264/AVC Decoding
Scalable Parallel Programming Applied to H.264/AVC Decoding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scalable Parallel Programming Applied to H.264/AVC Decoding write by Ben Juurlink. This book was released on 2012-06-01. Scalable Parallel Programming Applied to H.264/AVC Decoding available in PDF, EPUB and Kindle. Existing software applications should be redesigned if programmers want to benefit from the performance offered by multi- and many-core architectures. Performance scalability now depends on the possibility of finding and exploiting enough Thread-Level Parallelism (TLP) in applications for using the increasing numbers of cores on a chip. Video decoding is an example of an application domain with increasing computational requirements every new generation. This is due, on the one hand, to the trend towards high quality video systems (high definition and frame rate, 3D displays, etc) that results in a continuous increase in the amount of data that has to be processed in real-time. On the other hand, there is the requirement to maintain high compression efficiency which is only possible with video codes like H.264/AVC that use advanced coding techniques. In this book, the parallelization of H.264/AVC decoding is presented as a case study of parallel programming. H.264/AVC decoding is an example of a complex application with many levels of dependencies, different kernels, and irregular data structures. The book presents a detailed methodology for parallelization of this type of applications. It begins with a description of the algorithm, an analysis of the data dependencies and an evaluation of the different parallelization strategies. Then the design and implementation of a novel parallelization approach is presented that is scalable to many core architectures. Experimental results on different parallel architectures are discussed in detail. Finally, an outlook is given on parallelization opportunities in the upcoming HEVC standard.
