Languages and Compilers for Parallel Computing: 22nd International Workshop, LCPC 2009, Newark, DE, USA, October 8-10, 2009, Revised Selected Papers: Lecture Notes in Computer Science, cartea 5898
Editat de Guang R. Gao, Lori Pollock, John Cavazos, Xiaoming Lien Limba Engleză Paperback – 9 iun 2010
Din seria Lecture Notes in Computer Science
- 15% Preț: 549.48 lei
- 20% Preț: 322.44 lei
- 20% Preț: 324.00 lei
- 20% Preț: 315.78 lei
- 20% Preț: 238.01 lei
- 20% Preț: 1017.66 lei
- 20% Preț: 322.44 lei
- 20% Preț: 438.69 lei
- 20% Preț: 256.27 lei
- 20% Preț: 325.58 lei
- 20% Preț: 148.66 lei
- 20% Preț: 310.26 lei
- 20% Preț: 315.19 lei
- 20% Preț: 1005.39 lei
- 20% Preț: 554.59 lei
- 17% Preț: 360.19 lei
- 20% Preț: 620.45 lei
- 20% Preț: 307.71 lei
- 20% Preț: 1120.51 lei
- 20% Preț: 560.32 lei
- 20% Preț: 548.35 lei
- 20% Preț: 319.10 lei
- 20% Preț: 611.22 lei
- 20% Preț: 607.39 lei
- 20% Preț: 538.29 lei
- 20% Preț: 315.78 lei
- 20% Preț: 172.69 lei
- 20% Preț: 1339.86 lei
- Preț: 361.23 lei
- 20% Preț: 969.58 lei
- 20% Preț: 722.40 lei
- 20% Preț: 782.28 lei
- 20% Preț: 301.95 lei
- 20% Preț: 504.57 lei
- 20% Preț: 722.90 lei
- 20% Preț: 369.12 lei
- 20% Preț: 334.72 lei
- 20% Preț: 550.29 lei
- Preț: 389.06 lei
- 20% Preț: 564.99 lei
- 20% Preț: 552.25 lei
- 20% Preț: 552.25 lei
- 20% Preț: 552.64 lei
- 20% Preț: 331.59 lei
- 20% Preț: 309.90 lei
- 20% Preț: 122.89 lei
Preț: 323.02 lei
Preț vechi: 403.78 lei
-20% Nou
Puncte Express: 485
Preț estimativ în valută:
61.83€ • 66.48$ • 51.55£
61.83€ • 66.48$ • 51.55£
Carte disponibilă
Livrare economică 28 noiembrie-12 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783642133732
ISBN-10: 3642133738
Pagini: 440
Ilustrații: XI, 426 p. 186 illus.
Greutate: 0.66 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642133738
Pagini: 440
Ilustrații: XI, 426 p. 186 illus.
Greutate: 0.66 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
A Communication Framework for Fault-Tolerant Parallel Execution.- The STAPL pList.- Hardware Support for OpenMP Collective Operations.- Loop Transformation Recipes for Code Generation and Auto-Tuning.- MIMD Interpretation on a GPU.- TL-DAE: Thread-Level Decoupled Access/Execution for OpenMP on the Cyclops-64 Many-Core Processor.- Mapping Streaming Languages to General Purpose Processors through Vectorization.- A Balanced Approach to Application Performance Tuning.- Automatically Tuning Parallel and Parallelized Programs.- DFT Performance Prediction in FFTW.- Safe and Familiar Multi-core Programming by Means of a Hybrid Functional and Imperative Language.- Hierarchical Place Trees: A Portable Abstraction for Task Parallelism and Data Movement.- OSCAR API for Real-Time Low-Power Multicores and Its Performance on Multicores and SMP Servers.- Programming with Intervals.- Adaptive and Speculative Memory Consistency Support for Multi-core Architectures with On-Chip Local Memories.- Synchronization-Free Automatic Parallelization: Beyond Affine Iteration-Space Slicing.- Automatic Data Distribution for Improving Data Locality on the Cell BE Architecture.- Automatic Restructuring of Linked Data Structures.- Using the Meeting Graph Framework to Minimise Kernel Loop Unrolling for Scheduled Loops.- Efficient Tiled Loop Generation: D-Tiling.- Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization.- Speculative Optimizations for Parallel Programs on Multicores.- Fastpath Speculative Parallelization.- PSnAP: Accurate Synthetic Address Streams through Memory Profiles.- Enforcing Textual Alignment of Collectives Using Dynamic Checks.- A Code Generation Approach for Auto-Vectorization in the Spade Compiler.- Portable Just-in-Time Specialization of DynamicallyTyped Scripting Languages.- Reducing Training Time in a One-Shot Machine Learning-Based Compiler.- Optimizing Local Memory Allocation and Assignment through a Decoupled Approach.- Unrolling Loops Containing Task Parallelism.