HiPGISAXS specifications

Information


Unique identifier OMICS_26461
Name HiPGISAXS
Software type Application/Script
Interface Command line interface
Restrictions to use Academic or non-commercial use
Input format HiG
Operating system Unix/Linux
Programming languages C++, Python
Parallelization CUDA
Computer skills Advanced
Version 1.0.0
Stability Stable
Requirements
Scons, Boost, libtiff, C++ compiler
Maintained Yes

Download


download.png
github.png

Versioning


No version available

Maintainer


  • person_outline Abhinav Sarje

Additional information


https://github.com/HipGISAXS/HipGISAXS/wiki

Publication for HiPGISAXS

HiPGISAXS citation

library_books

Advanced grazing incidence techniques for modern soft matter materials analysis

2015
PMCID: 4285885
PMID: 25610632
DOI: 10.1107/S2052252514024178

[…] y the TUM logo, can require meshes of the order of millions of elements and the corresponding GISAXS pattern calculation can be very demanding in terms of computer power. To avoid these problems, the HipGISAXS package was developed in a parallelized version, which runs on multiple general-purpose graphical processing units (GPGPUs) and an Intel Xeon-Phi multi CPU (Chourou et al., 2013). The parall […]

HiPGISAXS institution(s)
Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
HiPGISAXS funding source(s)
Supported by the Director, Office of Science, of the US Department of Energy under contract No. DEAC02-05CH11231.

HiPGISAXS reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review HiPGISAXS