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NMP ST8 Dependable Multiprocessor Precis Presentation Dr. John R. Samson, Jr. Honeywell Defense & Space Systems 13350 U.S. Highway 19 North Clearwater,

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Presentation on theme: "NMP ST8 Dependable Multiprocessor Precis Presentation Dr. John R. Samson, Jr. Honeywell Defense & Space Systems 13350 U.S. Highway 19 North Clearwater,"— Presentation transcript:

1 NMP ST8 Dependable Multiprocessor Precis Presentation Dr. John R. Samson, Jr. Honeywell Defense & Space Systems 13350 U.S. Highway 19 North Clearwater, Florida 33764 (727) 539 - 2449 john.r.samson@honeywell.com High Performance Embedded Computing Workshop (HPEC) 18 – 20 September 2007

2 2 Dependable Multiprocessor ST8 Dependable Multiprocessor Flight Experiment System Applications of DM Technology - DM technology is applicable to a wide range of missions - enables heretofore previously unrealizable levels of science and autonomy processing -- NASA science missions -- landers/rovers -- robotic servicing of satellites -- ground/lunar/Mars-based systems - CEV docking computers - MKV video processor - Unattended Airborne Vehicles (UAVs) - Un-tethered Undersea Vehicles (UUVs) - Stratolites - Operationally Responsive Space (ORS) - rad hard space applications CY‘05‘06‘07‘08‘09‘10 Funding$1.2M$2.5M$4.0M$2.7M$0.5M$0.3M Hardware Dimensions 10.6 x 12.2 x 24.0 in. (26.9 x 30.9 x 45.7 cm) Weight (Mass) ~ 61.05 lbs (27.8 kg) Power ~ 120 Watts (max) Software Multi-layered system SW OS, Middleware, APIs, FT algorithms SEU Immunity - detection - autonomous, transparent recovery Multi-processing - parallelism, redundancy - combinable modes Phase A - Concept Defn. Phase B - Formulation Phase C/D - Implementation Phase E - Flight Exper. LaunchATLOTRL6 TRL5/PDR CDR TRL4 (7/04 - $0.5M) TRL7 ST8 NMP “Carrier” Spacecraft Description of technology advance Architecture and SW framework that enables COTS-based, high performance, scalable, cluster processing systems to operate in space - “SW-based SEU-tolerance enhancement” MPI-based for ease of porting applications from lab to space Adaptable to environment: radiation, mission, mode Validated models that can predict system performance in future missions & environments Validation Objectives Demonstrate delivered onboard computational throughput capability 10x – 100x more than any computer flying in space today Demonstrate onboard processing throughput density > 300 GOPS/watt NASA budget issues forced elimination of ST8 flight experiment per directive issued 8/3/07

3 3 DM Status Prototype DM SW transitioned to Honeywell Cat 4 software standard - prototype software tested for over a year -- found and fixed minor bugs -- no major problems uncovered Radiation testing of COTS flight components performed - performed proton testing and heavy ion testing of key parts - COTS components exhibited no catastrophic latch-up and sufficient SEU rates for flight experiment Flight experiment including command and telemetry defined - DM payload command and telemetry tables - operational experiment scenario Phase C/D flight testbed fabricated Prototype S/C interface SW developed and demonstrated - command processing - experiment data telemetry collection and reporting - demonstrated end-to-end command & telemetry loop with Orbital CTSIM (Command & Telemetry Simulator) Flight payload design finalized - electrical (including MIB) - structural - thermal Successful CDR, June 27, 2007 Progressing toward TRL6 technology validation demonstration in FY ’08 - includes comprehensive SW fault injection experiments and system-level radiation beam tests

4 4 DM Phase C/D Flight Testbed Custom Commercial Open cPCI Chassis Flight-like COTS DP nodes Flight-like Mass Memory Module Backplane Ethernet Extender Cards System Controller (flight RHSBC)

5 5 Summary & Conclusion Flying high performance COTS in space is a long-held desire/goal - Space Touchstone - (DARPA/NRL) - Remote Exploration and Experimentation (REE) - (NASA/JPL) - Improved Space Architecture Concept (ISAC) - (USAF) NMP ST8 DM project is bringing this desire/goal closer to reality DM technology independence has been demonstrated on wide variety of platforms - x86, PPC clusters - IBM Cell technology - FPGAs - VxWorks, Linux OS DM technology ease-of-use has been demonstrated - porting of GSFC Neural Basis Function (NBF) Synthetic Neural System (SNS) algorithms for autonomous rendezvous and docking - porting of NOAO Stellar Photometry application (QWPST) Multiple applications have been successfully ported to and demonstrated on DM testbeds - SAR, HSI, NBF-SNS, QWPST, Matrix Multiply, 2DFFT, LUD, K-means

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