Development of Biological Warfare Sensors Using SGI High Performance Computers
Lanzagorta Marco 1, Eversole Jay 2, Anderson Wendell 3
1 ITT Corporation
2 Naval Research Laboratory (Code 5612)
3 Naval Research Laboratory (Code 5593)
Received:
Received: 31 October 2008; published online: 20 February 2009
DOI: 10.12921/cmst.2009.15.01.57-62
OAI: oai:lib.psnc.pl:664
Abstract:
The Center for Computational Science (CCS) of the US Naval Research Laboratory (NRL) conducts leading edge research in High Performance Computing. CCS currently has two SGI Altix 3700s, one Altix 4700, and one SGI ICE machine. Recently the center has seen an increased interest from scientists at NRL who have been running MatLab™ on their local PC’s and workstations but who need more computational power. One such application is the development of biological warfare point detection sensors where time-tosolution for a single run can take over 30 hours to complete and many runs are necessary during the development process. This paper describes the issues that were encountered in the port of this code to the SGI High Performance Computing (HPC) computers at NRL and provides a paradigm for moving other computationally intensive MatLab™ programs to HPC machines.
Key words:
biological warfare, MatLab™, Octave, OpenMP, optical sensors, parallel methods
References:
[1] C. A. Primmerman, Detection of Biological Agents. Linc. Lab.J. 12 (1), 3-32 (2003).
[2] J. D. Eversole, W. K. Cary Jr., C. S. Scotto, R. Pierson, M. Spence and A. J. Campillo, Continuous, bioaerosol monitoring using UV excitation fluorescence: outdoor test results. Field Analytical Chemistry and Technology 15, 205-212 (2001).
[3] V. Sivaprakasam, A. Huston, C. Scotto and J. Eversole, Multiple UV Wavelength Excitation and Fluorescence of Bioaerosols. Opt. Express 12, 4457-4466 (2004).
[4] http://www.mathworks.com
[5] http://www.interactivesupercomputing.com
[6] http://www.gnu.org/software/octave
The Center for Computational Science (CCS) of the US Naval Research Laboratory (NRL) conducts leading edge research in High Performance Computing. CCS currently has two SGI Altix 3700s, one Altix 4700, and one SGI ICE machine. Recently the center has seen an increased interest from scientists at NRL who have been running MatLab™ on their local PC’s and workstations but who need more computational power. One such application is the development of biological warfare point detection sensors where time-tosolution for a single run can take over 30 hours to complete and many runs are necessary during the development process. This paper describes the issues that were encountered in the port of this code to the SGI High Performance Computing (HPC) computers at NRL and provides a paradigm for moving other computationally intensive MatLab™ programs to HPC machines.
Key words:
biological warfare, MatLab™, Octave, OpenMP, optical sensors, parallel methods
References:
[1] C. A. Primmerman, Detection of Biological Agents. Linc. Lab.J. 12 (1), 3-32 (2003).
[2] J. D. Eversole, W. K. Cary Jr., C. S. Scotto, R. Pierson, M. Spence and A. J. Campillo, Continuous, bioaerosol monitoring using UV excitation fluorescence: outdoor test results. Field Analytical Chemistry and Technology 15, 205-212 (2001).
[3] V. Sivaprakasam, A. Huston, C. Scotto and J. Eversole, Multiple UV Wavelength Excitation and Fluorescence of Bioaerosols. Opt. Express 12, 4457-4466 (2004).
[4] http://www.mathworks.com
[5] http://www.interactivesupercomputing.com
[6] http://www.gnu.org/software/octave
