HipGISAXS high-performance gisaxs

A massively-parallel high-performance x-ray scattering data analysis code

Latest News

May 27, 2016: HipGISAXS version 1.0 is out!

Supported Platforms

Clusters and supercomputers, or single processor systems (including your laptop). HipGISAXS has been optimized for high-efficiency with the following processor architectures:

Intel multi-core processors
AMD multi-core processors
NVidia GPUs (Tesla or Quadro)
Intel Xeon Phi processors (MIC). [NOTE: This support has been temporarily removed.]

Dependencies

UNIX-like based system
GNU GCC 4.7 or above, or Intel C++ Compilers 13 or above
Scons 2.0 or above
Boost 1.49.0 or above
TIFF Library (libtiff)
[Optional] (For multi-node parallel version only) OpenMPI 1.4.4 or above, or MPICH2, or MVAPICH2
[Optional] (For GPU version only) NVidia CUDA SDK version 5.5 or above
[Optional] Parallel HDF5 Library
[Optional] (HDF5 dependency) Zlib
[Optional] (HDF5 dependency) Szip Library

Download

You can download this project as a tarball or a zip file.

You can also clone the project with Git by running:

$ git clone https://github.com/HipGISAXS/HipGISAXS.git

This will enable you to easily update your copy to the latest version of HipGISAXS.

Installation

Use "scons" to compile the software and generate the application binary. For details please refer to the README file provided with the software.

Documentation

A user guide is included in the software package.

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

Input description at https://webhipgisaxs.lbl.gov.

Citation

When using HipGISAXS software, please cite the following in your work:

1. S. Chourou, A. Sarje, X.S. Li, E. Chan, A. Hexemer, "HipGISAXS: A High Performance Computing Code for Simulating Grazing Incidence X-Ray Scattering Data," Journal of Applied Crystallography, vol. 46, no. 6, pp. 1781-1795, 2013.

2. A. Sarje, X.S. Li, S. Chourou, E. Chan, A. Hexemer, "Massively Parallel X-ray Scattering Simulations," in Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'12), no. 46, pp. 46:1-46:11, November 2012.

Licensing

The HipGISAXS software is only available to be downloaded and used by employees of academic research institutions, not-for-profit research laboratories, or governmental research facilities. Please read the Non-Commercial End User License Agreement before downloading the software. By downloading the software, you are agreeing to be bound by the terms of this Non-Commercial End User License Agreement.

Developers

Abhinav Sarje [lead developer] (abhinav.sarje [AT] gmail.com)
Dinesh Kumar (dkumar [AT] lbl.gov)
Singanallur Venkatakrishnan (svvenkatakrishnan [AT] lbl.gov)
Xiaoye Li (xsli [AT] lbl.gov)
Alexander Hexemer (ahexemer [AT] lbl.gov)

Alumni Developers

Slim Chourou (stchourou [AT] lbl.gov)
Elaine Chan (erchan [AT] lbl.gov)

Acknowledgements

This work was supported by the LBNL LDRD funding, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
This work is partially supported by the Basic Energy Sciences (BES) Early Career Award of the U.S Department of Energy, and partially supported by the Center for Applied Mathematics for Energy Research Applications (CAMERA), which is a partnership between Basic Energy Sciences (BES) and Advanced Scientific Computing Research (ASCR) at the U.S Department of Energy.

Users

Following is a partial list of HipGISAXS users. If you use HipGISAXS and wish to be added to the list, please contact us.

Ting Xu, University of California Berkeley.