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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Samson Jr., J.R. Grimm, D. Morrill, K. Andresen, T. |
| Copyright Year | 1996 |
| Description | Author affiliation: Spacec & Strategic Syst. Oper., Honeywell Inc., Clearwater, FL, USA (Samson, J.R., Jr.; Grimm, D.; Morrill, K.; Andresen, T.) |
| Abstract | Honeywell's Embedded Touchstone and Rugged Touchstone systems are COTS-based, hardware equivalent and software compatible manifestations of the Intel Paragon XP/S Supercomputing System. The Paragon/sup TM//Touchstone system is a robust, massively parallel processing architecture capable of supporting a wide range of implementation paradigms for DoD, DoE, and NASA applications. All applications, but airborne and space-based applications in particular can benefit from the highest possible execution efficiency because execution efficiency cost. This paper describes the performance obtained from the implementation of several STAP (space-time adaptive processing) benchmarks and the Real-Time Multi-Channel Airborne Radar Measurements (RTMCARM) application on Paragon/sup TM//Touchstone processing systems using a high level, data parallel, data flow approach. Demonstrated performance is discussed in terms of end-to-end latency, speedup, high sustained throughput, high sustained implementation efficiency, high compute resource utilization efficiency, scalability, software portability and software productivity improvement using Honeywell's configurator and data flow shell tools. |
| Starting Page | 315 |
| Ending Page | 320 |
| File Size | 527955 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780331451 |
| DOI | 10.1109/NRC.1996.510700 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-05-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Application software Software performance Software tools Hardware Embedded software Robustness Parallel processing Computer architecture NASA Costs |
| Content Type | Text |
| Resource Type | Article |
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