000 | 03048nam a22004335i 4500 | ||
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001 | 978-1-4471-2164-0 | ||
003 | DE-He213 | ||
005 | 20170628033619.0 | ||
007 | cr nn 008mamaa | ||
008 | 120525s2012 xxk| s |||| 0|eng d | ||
020 |
_a9781447121640 _9978-1-4471-2164-0 |
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024 | 7 |
_a10.1007/978-1-4471-2164-0 _2doi |
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050 | 4 | _aQA76.6-76.66 | |
072 | 7 |
_aUM _2bicssc |
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072 | 7 |
_aCOM051000 _2bisacsh |
|
082 | 0 | 4 |
_a005.11 _223 |
100 | 1 |
_aBen-Asher, Yosi. _eauthor. |
|
245 | 1 | 0 |
_aMulticore Programming Using the ParC Language _h[electronic resource] / _cby Yosi Ben-Asher. |
264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2012. |
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300 |
_aXIV, 277 p. 67 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aUndergraduate Topics in Computer Science, _x1863-7310 |
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505 | 0 | _aPreface -- Basic Concepts in Parallel Algorithms and Parallel Programming -- Principles of Shared Memory Parallel Programming using ParC -- Locality and Synchronization -- Multicore Machines -- Improving the Performance of Parallel Programs: The Analytical Approach -- Compilation Techniques -- Working with Sequential Versions -- Performance and Overhead Measures. | |
520 | _aMulticore Programming Using the ParC Language discusses principles of practical parallel programming using shared memory. It is unique in its approach to writing parallel programs for shared memory machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language, which was co-developed by author Yosi Ben-Asher. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. It also provides a basis through which to evaluate parallel programming performance versus overheads and other resource expenditure. Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Readers can also tackle numerous exciting and challenging exercises at the end of each chapter. | ||
650 | 0 | _aComputer science. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aProcessor Architectures. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781447121633 |
830 | 0 |
_aUndergraduate Topics in Computer Science, _x1863-7310 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4471-2164-0 |
912 | _aZDB-2-SCS | ||
999 |
_c16017 _d16017 |