Compiling Fortran 90D/HPF for distributed memory MIMD computers
Journal of Parallel and Distributed Computing - Special issue on data parallel algorithms and programming
Evaluating compiler optimizations for Fortran D
Journal of Parallel and Distributed Computing - Special issue on data parallel algorithms and programming
Compiling high performance Fortran for distributed-memory systems
Digital Technical Journal
The role of performance models in parallel programming and languages
The role of performance models in parallel programming and languages
Factor-Join: A Unique Approach to Compiling Array Languages for Parallel Machines
LCPC '96 Proceedings of the 9th International Workshop on Languages and Compilers for Parallel Computing
Proceedings of the 6th International Workshop on Languages and Compilers for Parallel Computing
ZPL: A Machine Independent Programming Language for Parallel Computers
IEEE Transactions on Software Engineering - Special issue on architecture-independent languages and software tools for parallel processing
A comparative study of the NAS MG benchmark across parallel languages and architectures
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
The Case for High-Level Parallel Programming in ZPL
IEEE Computational Science & Engineering
Parallel Computation: MM +/- X
Informatics - 10 Years Back. 10 Years Ahead.
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 4 - Volume 05
Parallel Programmability and the Chapel Language
International Journal of High Performance Computing Applications
| Hi-index | 0.00 |
A portable program executes on different platforms and yields consistent performance. With the focus on portability, this paper presents an in-depth study of the performance of three NAS benchmarks (EP, MG, FT) compiled with three commercial HPF compilers (APR, PGI, IBM) on the IBM SP2. Each benchmark is evaluated in two versions: using DO loops and using F90 constructs and/or HPF's Forall statement. Base-line comparison is provided by versions of the benchmarks written in Fortran/MPI and ZPL, a data parallel language developed at the University of Washington.While some F90/Forall programs achieve scalable performance with some compilers, the results indicate a considerable portability problem in HPF programs. Two sources for the problem are identified. First, Fortran's semantics require extensive analysis and optimization to arrive at a parallel program; therefore relying on the compiler's capability alone leads to unpredictable performance. Second, the wide differences in the parallelization strategies used by each compiler may require an HPF program to be customized for the particular compiler. While improving compiler optimizations may help to reduce some performance variations, the results suggest that the foremost criteria for portability is a concise performance model that the compiler must adhere to and that the users can rely on.