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F5-11: Device Performance Metrics and Mission-Critical Processing. Nicholas Wulf Justin Richardson Quinn Martin Steven Fingulin Research Students University of Florida. Dr. Alan D. George Professor of ECE University of Florida Dr. Herman Lam Assoc. Professor of ECE
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F5-11: Device Performance Metrics and Mission-Critical Processing Nicholas Wulf Justin Richardson Quinn Martin Steven Fingulin Research Students University of Florida Dr. Alan D. George Professor of ECE University of Florida Dr. Herman Lam Assoc. Professor of ECE University of Florida Dr. Ann Gordon-Ross Asst. Professor of ECE University of Florida
F5-11: Plans for Spring 2011 Justin Richardson
CHREC F5: Justin • Task A • Metrics Tool (Justin and Quinn) • Port existing application to a Webapp format for portability, ease of access, and expandability • Expand application to include remaining device metrics and parameters • Benchmarking (Justin, Seth, and Steven) • RU • Gather more academic and professional literature to allow a narrower focus • Benchmark using expert tools (ie GPU/FPC comparison) • Refine methodology and definitions of α for clarity • New Platforms • Finish GPU benchmarking • Add ARM to benchmark suite and get basic benchmarking started • Gantt Chart • http://www.hcs.ufl.edu/~richardson/Projects/Gantt-Chart-SP2011.html
F5-11: Plans for Spring 2011 Steven Fingulin
Spring Tasks • Device Studies • Add new devices to analysis • FPGAs (Stratix V, Virtex 7) • New CPU/GPU hybrid chips (AMD Fusion, Intel Sandy Bridge, Tegra 2, etc.) • Many-core devices (Tilera and similar) • DSPs (TI OMAP and AD) • New embedded processors (Snapdragon, Scorpion, Cortex A9, etc.) • Low power families of major processors • Add XML entries to the tool for calculation of other metrics • Compare devices based on complete metrics suite • Achronix • Measure and analyze power use • Add new and larger benchmarks • Gantt Chart • http://hcs.ufl.edu/~fingulin/Spring2011research.png
F5-11: Plans for Spring 2011 Quinn Martin
CHREC F5: Quinn • Task A • Metrics Tool • Port existing tool to web application • Ajax integration with RU database • Recode GUI for web • Expand application • Add Memory-based metrics (IMB, EMB) • Add IOB • Expand and document XML format • Gantt Chart • http://www.hcs.ufl.edu/~martin/gantt_chart_sp2011.png
F5-11: Plans for Spring 2011 Nick Wulf
Task B: Mission-Critical Processing • Processing challenges in restricted environments • Small satellites, UAVs, smart munitions, AUVs • Radiation effects; limited size, weight, & power (SWaP) • Initial focus upon military/aerospace missions • Complex optimization problem for given mission • Goals (throughput, response time, dependability) • Applications (sensor processing, autonomy, et al.) • Constraints (power, size, mass, cooling, wiring) • Architecture (fixed, reconfigurable, hybrid; device & subsystem) • Reliability (RHBP, RHBD, NMR, SIFT, ABFT, et al.) • Pursuit of novel optimization theory, data, tools • Given mission goals, apps, & constraints, what is optimal existing or notional architecture (device, subsystem) to address? UAV = unmanned aerial vehicle AUV = autonomous underwater vehicle RHBP/D = RadHard by process/design NMR = N-modular redundancy SIFT = software-implemented FT ABFT = algorithm-based FT