https://github.com/mbdevpl/nas-parallel-benchmarks

Comprehensive collection of recent of NAS Parallel Benchmarks (NPB). Unofficial mirror.
https://github.com/mbdevpl/nas-parallel-benchmarks

benchmarks high-performance-computing hpc nas-parallel-benchmarks nasa npb

Last synced: about 1 month ago
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Comprehensive collection of recent of NAS Parallel Benchmarks (NPB). Unofficial mirror.

• Host: GitHub
• URL: https://github.com/mbdevpl/nas-parallel-benchmarks
• Owner: mbdevpl
• Created: 2019-08-20T12:46:52.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-08-20T14:12:27.000Z (over 5 years ago)
• Last Synced: 2024-12-19T20:15:00.170Z (about 2 months ago)
• Topics: benchmarks, high-performance-computing, hpc, nas-parallel-benchmarks, nasa, npb
• Language: Fortran
• Homepage: https://www.nas.nasa.gov/publications/npb.html
• Size: 1.24 MB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README-3.0
  • Changelog: Changes.log

Awesome Lists containing this project

README

        
The non-MPI Version of NAS Parallel Benchmarks (SER, OMP, HPF, JAV)

=======================================================================

The non-MPI version of NAS Parallel Benchmarks was based on a version

that was previously released as PBN, or "Programming Baseline for NPB".

This version consists of four sets of source codes based on the NAS

Parallel Benchmark version 2.3:

	NPB3.0-SER - An improved sequential implementation

	NPB3.0-OMP - An OpenMP implementation based on NPB-SER

	NPB3.0-HPF - An HPF implementation based on NPB-SER

	NPB3.0-JAV - A Java implementation with Java threads

For more details on each implementation, please refer to the README file

in each sub-directory.

The rationale behind this release is as follows:

1. To provide the community with an optimized version of NPB2.3-serial

In our effort to compare compilers and tools using NPB2.3-serial as a baseline,

we encountered implementation efficiencies and code organization that greatly

limits their parallelization based on the insertion of "directives". While the

presence of these "imperfections" reflect the ability of "average" programmers,

fixing some of these greatly reduced the noise in the results and helped our

evaluation. For example, BT and SP were reorganized so that memory requirements

for Class A on one SGI Origin2000 (O2K) node are reduced by 9 times and 2 times

respectively. Execution speed almost doubled in each case. An unnecessary code

segment, only required in the MPI parallel implementation, was also removed to

(almost) double IS's performance on one O2K node. We note further that an LU

implementation (with loop organization favoring parallelization based on a

"hyperplane" or "wavefront") that favors data-parallelism is also included for

the benefit of HPF. These, together with other minor fixes, have been

introduced to NPB2.3-serial to produce the NPB3.0-SER

2. To provide standard implementations based on OpenMP and HPF directives

   and Java threads

The OpenMP and HPF directives inserted reflect a programmer's

parallelization and data-distribution strategy, while the compiler is

responsible for implementation and optimization. The Java implementation

serves to examine Java as a new language for CFD computation.

NPB3.0 was implemented by Henry Jin , Michael Frumkin

 and Matthew Schultz.

We want to acknowledge support and comments, particularly from the original

NPB implementation team of the NAS Division at NASA Ames Research Center.

Additionally, we want to thank Thomas Gruen  and Allan

Snavely  who pointed out the problem with IS.

For all errors/feedbacks related to NPB3.0, please contact:

      NAS Parallel Benchmarks Team

      [email protected]