Compiler and runtime analysis for efficient communication in data intensive applications

Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT

Volumn , Issue , 2001, Pages 231-242

  Ferreira, R ^a   Agrawal, G ^a   Saltz, J ^a  

^a Institute of Advanced Computer Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; JAVA PROGRAMMING LANGUAGE; PARALLEL PROCESSING SYSTEMS; QUERY LANGUAGES;

INTER-PROCESSOR COMMUNICATIONS;

PROGRAM COMPILERS;

EID: 0035182132     PISSN: 1089795X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Using integer sets for data-parallel program analysis and optimization
2. High-level programming methodologies for data intensive computing
3. Compiling Fortran 90D/HPF for distributed memory MIMD computers
4. T2: A customizable parallel database for multi-dimensional data
5. Infrastructure for building parallel database systems for multi-dimensional data
6. Titan: A high performance remote-sensing database
7. Generating local addresses and communication sets for data-parallel programs
8. The virtual microscope
9. Compiling object-oriented data intensive computations
10. Improving compiler and run-time support for irregular reductions
11. High performance fortran forum
12. A global communication optimization technique based on data-flow analysis and linear algebra
13. A unified framework for optimizing locality, parallelism, and comunication in out-of-core computations
14. Analysis of irregular single-indexed array accesses and its applications in compiler optimizations
15. Compiler optimization of implicit reductions for distributed memory multiprocessors
16. Loop monotonic statements
17. A survey of program slicing techniques
18. Titanium: A high-performance Java dialect
19. Adaptive reduction parallelization techniques
20. Compiling for distributed-memory systems