F5-11: Device Performance Metrics
and Mission-Critical Processing
Dr. Alan D. George
CHREC F5/F6
WEEKLY MEETING
Dr. Herman Lam
Nicholas Wulf
Justin Richardson
Quinn Martin
Steven Fingulin
Assoc. Professor of ECE
University of Florida
Research Students
University of Florida
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/F6
WEEKLY MEETING
CHREC F5: Justin
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Task A
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Metrics Tool (Justin and Quinn)
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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)
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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
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Gantt Chart
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http://www.hcs.ufl.edu/~richardson/Projects/Gantt-Chart-SP2011.html
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F5-11: Plans for Spring 2011
Steven Fingulin
CHREC F5/F6
WEEKLY MEETING
Spring Tasks
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Device Studies
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Add new devices to analysis
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Add XML entries to the tool for calculation of other metrics
Compare devices based on complete metrics suite
Achronix
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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
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/F6
WEEKLY MEETING
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
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F5-11: Plans for Spring 2011
Nick Wulf
CHREC F5/F6
WEEKLY MEETING
Task B: Mission-Critical Processing
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Processing challenges in restricted environments
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Complex optimization problem for given mission
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Small satellites, UAVs, smart munitions, AUVs
Radiation effects; limited size, weight, & power (SWaP)
Initial focus upon military/aerospace missions
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
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Given mission goals, apps, & constraints, what is optimal existing or
notional architecture (device, subsystem) to address?
UAV = unmanned aerial vehicle
AUV = autonomous underwater vehicle 9
RHBP/D = RadHard by process/design
NMR = N-modular redundancy
SIFT = software-implemented FT
ABFT = algorithm-based FT