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NeuDATool: An open source neutron data analysis tools, supporting GPU hardware acceleration, and across-computer cluster nodes parallel
- Source :
- Chinese Journal of Chemical Physics. 33:727-732
- Publication Year :
- 2020
- Publisher :
- AIP Publishing, 2020.
-
Abstract
- Empirical potential structure refinement (EPSR) is a neutron scattering data analysis algorithm and a software package. It was developed by the British spallation neutron source (ISIS) Disordered Materials Group in 1980s, and aims to construct the most-probable atomic structures of disordered liquids. It has been extensively used during the past decades, and has generated reliable results. However, it is programmed in Fortran and implements a shared-memory architecture with OpenMP. With the extensive construction of supercomputer clusters and the widespread use of graphics processing unit (GPU) acceleration technology, it is now necessary to rebuild the EPSR with these techniques in the effort to improve its calculation speed. In this study, an open source framework NeuDATool is proposed. It is programmed in the object-oriented language C++, can be paralleled across nodes within a computer cluster, and supports GPU acceleration. The performance of NeuDATool has been tested with water and amorphous silica neutron scattering data. The test shows that the software could reconstruct the correct microstructure of the samples, and the calculation speed with GPU acceleration could increase by more than 400 times compared with CPU serial algorithm at a simulation box consists about 100 thousand atoms. NeuDATool provides another choice for scientists who are familiar with C++ programming and want to define specific models and algorithms for their analyses.<br />16 pages, 7 figures
- Subjects :
- business.industry
Computer science
Graphics processing unit
FOS: Physical sciences
02 engineering and technology
Computational Physics (physics.comp-ph)
Neutron scattering
010402 general chemistry
021001 nanoscience & nanotechnology
Supercomputer
01 natural sciences
0104 chemical sciences
Computational science
Acceleration
Software
Physics - Data Analysis, Statistics and Probability
Computer cluster
Hardware acceleration
Physical and Theoretical Chemistry
0210 nano-technology
business
Physics - Computational Physics
Data Analysis, Statistics and Probability (physics.data-an)
Spallation Neutron Source
Subjects
Details
- ISSN :
- 23272244 and 16740068
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Chemical Physics
- Accession number :
- edsair.doi.dedup.....af28c1c7c80a862bc2646ebc302095e8