Languages and Compilers for Parallel Computing
Editat de Bill Pugh, Chau-Wen Tsengen Limba Engleză Paperback – 13 dec 2005
Preț: 327.07 lei
Preț vechi: 408.84 lei
-20%
Puncte Express: 491
Carte tipărită la comandă
Livrare economică 11-25 iulie
Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 400.00 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Specificații
ISBN-13: 9783540307815
ISBN-10: 3540307818
Pagini: 396
Ilustrații: XII, 380 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.6 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540307818
Pagini: 396
Ilustrații: XII, 380 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.6 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Memory-Constrained Communication Minimization for a Class of Array Computations.- Forward Communication Only Placements and Their Use for Parallel Program Construction.- Hierarchical Parallelism Control for Multigrain Parallel Processing.- Compiler Analysis and Supports for Leakage Power Reduction on Microprocessors.- Automatic Detection of Saturation and Clipping Idioms.- Compiler Optimizations with DSP-Specific Semantic Descriptions.- Combining Performance Aspects of Irregular Gauss-Seidel Via Sparse Tiling.- A Hybrid Strategy Based on Data Distribution and Migration for Optimizing Memory Locality.- Compiler Optimizations Using Data Compression to Decrease Address Reference Entropy.- Towards Compiler Optimization of Codes Based on Arrays of Pointers.- An Empirical Study on the Granularity of Pointer Analysis in C Programs.- Automatic Implementation of Programming Language Consistency Models.- Parallel Reductions: An Application of Adaptive Algorithm Selection.- Adaptively Increasing Performance and Scalability of Automatically Parallelized Programs.- Selector: A Language Construct for Developing Dynamic Applications.- Optimizing the Java Piped I/O Stream Library for Performance.- A Comparative Study of Stampede Garbage Collection Algorithms.- Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms.- Performance Analysis of Symbolic Analysis Techniques for Parallelizing Compilers.- Efficient Manipulation of Disequalities During Dependence Analysis.- Removing Impediments to Loop Fusion Through Code Transformations.- Near-Optimal Padding for Removing Conflict Misses.- Fine-Grain Stacked Register Allocation for the Itanium Architecture.- Evaluating Iterative Compilation.