PTCN-HPEC-02-1 AIR 25Sept02 MIT Lincoln Laboratory Resource Management for Digital Signal Processing via Distributed Parallel Computing Albert I. Reuther & Joel Goodman HPEC Sept 2002 This work is sponsored by the Defense Advanced Research Projects Agency (DARPA) under Air Force contract F C-002. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the U.S. Government.

MIT Lincoln Laboratory PTCN-Precis-HPEC-02-2 AIR 25Sept02 Problem: Situational Example Exploitation Cell Archival Data/Info Archival Data/Info Command & Control Command & Control Computing Resources Computing Resources Exploitation Cell Exploitation Cell UGS Radar/Illuminator Bistatic Receiver Bistatic Receiver Small UAV HAE UAV UGS EO/IR Weapon Platforms MC2A Bistatic Receiver CAOC-F/R Computing Resources Precision Targeting: Sensor streams from many platforms Processing on airborne platforms (MC2A) and land- based (CAOC-F/R) Fault tolerance & dynamic reconfiguration are a must! Precision Targeting: Sensor streams from many platforms Processing on airborne platforms (MC2A) and land- based (CAOC-F/R) Fault tolerance & dynamic reconfiguration are a must!

MIT Lincoln Laboratory PTCN-Precis-HPEC-02-3 AIR 25Sept02 A Solution: Network Resource Manager Generate candidate mappings Two- processor SGI Origin One- processor SGI O2 8 one-processor P3s Ethernet Switch System Manager Simulation Network Ethernet Switch Performance Estimates Formulate Graph Model Solve Graph Problem Configure Network & Resources Monitor Network & Resources For each application type: Loopback for fault tolerance & dynamic reconfiguration Network Resource Manager (NRM) Optimize for throughput, latency, or resource utilization Accommodate fault tolerance Manage multiple application instantiations Future NRM Automatically generate candidate mappings Automatically conduct performance estimates Current Network Resource Manager used in these phases