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Pro Tbb

Pro Tbb


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About the Book

PrefacePart IChapter 1: Jumping Right In - "Hello, TBB!" Chapter 2: Generic Parallel Algorithms Chapter 3: Flow Graphs Chapter 4: TBB and the C++ Parallel Standard Template Library Chapter 5: Synchronization: why and how to avoid it Chapter 6: Data Structures for Concurrency Chapter 7: Scalable Memory Allocation Chapter 8: Mapping Parallel Patterns to TBB
Part IIChapter 9: The Pillars of Composability Chapter 10: Using tasks to create your own algorithmsChapter 11: Controlling the Number of Threads Used for ExecutionChapter 12: Using Work Isolation for Correctness and PerformanceChapter 13: Creating Thread-to-core and Task-to-thread AffinityChapter 14: Using Task PrioritiesChapter 15: Cancellation and Exception HandlingChapter 16: Tuning TBB Algorithms: Granularity, Locality, Parallelism and DeterminismChapter 17: Flow Graphs: Beyond the BasicsChapter 18: Beef up Flow Graphs with Async NodesChapter 19: Flow Graphs on steroids: OpenCL NodesChapter 20: TBB on NUMA architectures
Appendix A: History and Inspiration Appendix B: TBB Précis Glossary
About the Author: Michael Voss is a Principal Engineer in the Intel Architecture, Graphics and Software Group at Intel. He has been a member of the TBB development team since before the 1.0 release in 2006 and was the initial architect of the TBB flow graph API. He is also one of the lead developers of Flow Graph Analyzer, a graphical tool for analyzing data flow applications targeted at both homogeneous and heterogeneous platforms. He has co-authored over 40 published papers and articles on topics related to parallel programming and frequently consults with customers across a wide range of domains to help them effectively use the threading libraries provided by Intel. Prior to joining Intel in 2006, he was an Assistant Professor in the Edward S. Rogers Department of Electrical and Computer Engineering at the University of Toronto. He received his Ph.D. from the School of Electrical and Computer Engineering at Purdue University in 2001.
Rafael Asenjo, Professor of Computer Architecture at the University of Malaga, Spain, obtained a PhD in Telecommunication Engineering in 1997 and was an Associate Professor at the Computer Architecture Department from 2001 to 2017. He was a Visiting Scholar at the University of Illinois in Urbana-Champaign (UIUC) in 1996 and 1997 and Visiting Research Associate in the same University in 1998. He was also a Research Visitor at IBM T.J. Watson in 2008 and at Cray Inc. in 2011. He has been using TBB since 2008 and over the last five years, he has focused on productively exploiting heterogeneous chips leveraging TBB as the orchestrating framework. In 2013 and 2014 he visited UIUC to work on CPU+GPU chips. In 2015 and 2016 he also started to research into CPU+FPGA chips while visiting U. of Bristol. He served as General Chair for ACM PPoPP'16 and as an Organization Committee member as well as a Program Committee member for several HPC related conferences (PPoPP, SC, PACT, IPDPS, HPCA, EuroPar, and SBAC-PAD). His research interests include heterogeneous programming models and architectures, parallelization of irregular codes and energy consumption.
James Reinders is a consultant with more than three decades experience in Parallel Computing, and is an author/co-author/editor of nine technical books related to parallel programming. He has had the great fortune to help make key contributions to two of the world's fastest computers (#1 on Top500 list) as well as many other supercomputers, and software developer tools. James finished 10,001 days (over 27 years) at Intel in mid-2016, and now continues to write, teach, program, and do consulting in areas related to parallel computing (HPC and AI).


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Product Details
  • ISBN-13: 9781484243978
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 254 mm
  • No of Pages: 754
  • Spine Width: 41 mm
  • Weight: 1445 gr
  • ISBN-10: 1484243978
  • Publisher Date: 10 Jul 2019
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: C++ Parallel Programming with Threading Building Blocks
  • Width: 178 mm


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