000 03048nam a22004335i 4500
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
024 7 _a10.1007/978-1-4471-2164-0
_2doi
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
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.
300 _aXIV, 277 p. 67 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUndergraduate Topics in Computer Science,
_x1863-7310
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