Muutke küpsiste eelistusi

Languages and Compilers for Parallel Computing: 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers 1st ed. 2017 [Pehme köide]

Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 348 pages, kõrgus x laius: 235x155 mm, kaal: 5445 g, 137 Illustrations, black and white; XI, 348 p. 137 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 10136
  • Ilmumisaeg: 20-Jan-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319527088
  • ISBN-13: 9783319527086
  • Pehme köide
  • Hind: 48,70 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 57,29 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 348 pages, kõrgus x laius: 235x155 mm, kaal: 5445 g, 137 Illustrations, black and white; XI, 348 p. 137 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 10136
  • Ilmumisaeg: 20-Jan-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319527088
  • ISBN-13: 9783319527086
This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016.The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis. 

Large Scale Parallelism.- Resilience and Persistence.- Compiler Analysis and Optimization.- Dynamic Computation and Languages.- GPUs and Private Memory.- Runt-time and Performance Analysis. 

Large Scale Parallelism.- Resilience and Persistence.- Compiler Analysis and Optimization.- Dynamic Computation and Languages.- GPUs and Private Memory.- Runt-time and Performance Analysis.