On the Incorporation of Streaming Processors for Chemical, Biological, Radiological, and Nuclear Models

Report No. ARL-TR-6093
Authors: Dale Shires, Song Park, and Chris Gaughan
Date/Pages: August 2012; 34 pages
Abstract: High performance computing (HPC) is in a state of transition. HPC users have traditionally relied upon two things to supply them with processing power: speed of the central processing units (CPUs) and the scalability of the system. There are problems with this approach. Physical limitations are curtailing clock speed increases in general-purpose CPUs, the von Neumann loadexecute- store approach does not map well to every computational problem, and systems of thousands of processors might be very inefficient depending upon processor interconnection limitations. Several versatile, commodity-based options are coming online that could help address these deficiencies. Each of these can be used to provide performance that at one time was only available by using application-specific integrated circuits (ASICs) or large-scale fixed HPC assets. Newer methodologies hold out the hope of being more cost efficient and deployable along with providing faster deployment and development times and allowing the use of algorithms that remain modifiable at all stages of development and fielding. This report assesses these technologies from the standpoint of system models found in chemical, biological, radiological, and nuclear (CBRN) defense systems. We discuss the characteristics of streaming processors and how they may be applied to CBRN problems for increased efficiency and cost-effective computing.
Distribution: Approved for public release
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Last Update / Reviewed: August 1, 2012