Languages and Compilers for Parallel Computing: 15th Workshop, LCPC 2002, College Park, MD, USA, July 25-27, 2002, Revised PapersBill Pugh, Chau-Wen Tseng Springer Science & Business Media, 2005. gada 13. dec. - 376 lappuses The 15th Workshop on Languages and Compilers for Parallel Computing was held in July 2002 at the University of Maryland, College Park. It was jointly sponsored by the Department of Computer Science at the University of Ma- land and the University of Maryland Institute for Advanced Computer Studies (UMIACS).LCPC2002broughttogetherover60researchersfromacademiaand research institutions from many countries. The program of 26 papers was selected from 32 submissions. Each paper was reviewed by at least three Program Committee members and sometimes by additional reviewers. Prior to the workshop, revised versions of accepted papers were informally published on the workshop’s website and in a paper proceedings that was distributed at the meeting. This year, the workshopwas organizedinto sessions of papers on related topics, and each session consisted of two to three 30-minute presentations.Based on feedback from the workshop,the papers were revised and submitted for inclusion in the formal proceedings published in this volume. Two papers were presented at the workshop but later withdrawn from the ?nal proceedings by their authors. We were very lucky to have Bill Carlson from the Department of Defense give the LCPC 2002 keynote speech on “UPC: A C Language for Shared M- ory Parallel Programming.” Bill gave an excellent overview of the features and programming model of the UPC parallel programming language. |
No grāmatas satura
6.–10. rezultāts no 68.
15. lappuse
Atvainojiet, šīs lappuses saturs ir ierobežots..
Atvainojiet, šīs lappuses saturs ir ierobežots..
19. lappuse
Atvainojiet, šīs lappuses saturs ir ierobežots..
Atvainojiet, šīs lappuses saturs ir ierobežots..
20. lappuse
Atvainojiet, šīs lappuses saturs ir ierobežots..
Atvainojiet, šīs lappuses saturs ir ierobežots..
54. lappuse
Atvainojiet, šīs lappuses saturs ir ierobežots..
Atvainojiet, šīs lappuses saturs ir ierobežots..
58. lappuse
Atvainojiet, šīs lappuses saturs ir ierobežots..
Atvainojiet, šīs lappuses saturs ir ierobežots..
Saturs
MemoryConstrained Communication Minimization for a Class | 1 |
Forward Communication Only Placements and Their Use for Parallel | 16 |
Hierarchical Parallelism Control for Multigrain Parallel Processing | 31 |
Compiler Analysis and Supports for Leakage Power Reduction | 45 |
Automatic Detection of Saturation and Clipping Idioms | 61 |
Compiler Optimizations with DSPSpecific Semantic Descriptions | 75 |
Combining Performance Aspects of Irregular GaussSeidel Via Sparse | 90 |
A Hybrid Strategy Based on Data Distribution and Migration | 111 |
Adaptively Increasing Performance and Scalability of Automatically | 203 |
A Language Construct for Developing Dynamic Applications | 218 |
Optimizing the Java Piped IO Stream Library for Performance | 233 |
A Comparative Study of Stampede Garbage Collection Algorithms | 249 |
Compiler and Runtime Support for Shared Memory Parallelization | 265 |
Performance Analysis of Symbolic Analysis Techniques for Parallelizing | 280 |
Efficient Manipulation of Disequalities During Dependence Analysis | 295 |
Removing Impediments to Loop Fusion Through Code Transformations | 309 |
Compiler Optimizations Using Data Compression to Decrease Address | 126 |
Towards Compiler Optimization of Codes Based on Arrays of Pointers | 142 |
An Empirical Study on the Granularity of Pointer Analysis in C | 157 |
Automatic Implementation of Programming Language Consistency | 172 |
An Application of Adaptive Algorithm Selection | 188 |
NearOptimal Padding for Removing Conflict Misses | 329 |
FineGrain Stacked Register Allocation for the Itanium Architecture | 344 |
Evaluating Iterative Compilation | 362 |
377 | |
Bieži izmantoti vārdi un frāzes
algorithm alloc instruction analyzer application approach architecture array basic block benchmarks buffer bytes cache code variant compile-time compiler optimizations compression conflict misses consistency model constraints convergence iterations cost estimation model data dependences data distribution data mining data structures disequalities DSPI dynamic efficient evaluation example execution Figure Fortran function Gauss-Seidel graph implementation input inserted integer intervening code Itanium Java piped loop fusion loop nests loop transformations macro-task matrix memory access memory objects memory usage method Mgrid migration miss ratio naming schemes node number of processors OpenMP operations optimisation optimization overhead padding Parallel Computing parallel loops Parallel Processing parallel programs partitioning Pentium performance pointer analysis power gating POWER4 Programming Language reduction reference registers registers allocated run-time Section selector sequential shared memory sparse matrix sparse tiling speedup static strategy synchronization Table target techniques thread timestamp tion Tomcatv transformations variable vector