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008 210322s2019 nyua||||s|||| 001 0 eng d
020 _a9781484243985
_qelectronic
040 _cQCPL
100 1 _91204
_aVoss, Michael
_eauthor
245 1 0 _aPro TBB
_b: C++ parallel programming with Threading Building Blocks
_c/ Michael Voss, Rafael Asenjo, James Reinders
264 1 _aNew York :
_bApress Open,
_c[2019]
300 _a1 online resource (754 pages) :
_billustrations
336 _2rdacontent
_atext
337 _2rdamedia
_acomputer
338 _2rdacarrier
_aonline resource
500 _aIncludes index.
505 0 _aChapter 1. Jumping right in : “hello, TBB!”
505 0 _aChapter 2. Generic parallel algorithms
505 0 _aChapter 3. Flow graphs
505 0 _aChapter 4. TBB and the parallel algorithms of the C++ Standard Template Library
505 0 _aChapter 5. Synchronization : why and how to avoid it
505 0 _aChapter 6. Data structures for concurrency
505 0 _aChapter 7. Scalable memory allocation
505 0 _aChapter 8. Mapping parallel patterns to TBB
505 0 _aChapter 9. The pillars of composability
505 0 _aChapter 10. Using tasks to create your own algorithms
505 0 _aChapter 11. Controlling the number of threads used for execution
505 0 _aChapter 12. Using work isolation for correctness and performance
505 0 _aChapter 13. Creating thread-to-core and task-to-thread affinity
505 0 _aChapter 14. Using task priorities
505 0 _aChapter 15. Cancellation and exception handling
505 0 _aChapter 16. Tuning TBB algorithms : granularity, locality, parallelism, and determinism
505 0 _aChapter 17. Flow graphs : beyond the basics
505 0 _aChapter 18. Beef up flow graphs with Async nodes
505 0 _aChapter 19. Flow graphs on steroids : OpenCL nodes
505 0 _aChapter 20. TBB on NUMA architectures
505 0 _aAppendix A. History and inspiration
505 0 _aAppendix B. TBB précis
650 _aComputer science
650 _aComputer software
650 _aData structures (Computer science)
655 _aElectronic Books
700 1 _91205
_aAsenjo, Rafael
_eauthor
700 1 _91206
_aReinders, James
_eauthor
856 _alibrary.oapen.org
_uhttps://library.oapen.org/bitstream/20.500.12657/22838/1/1007323.pdf
942 _2ddc
_cEBOOK
690 _aComputers & technology