DocumentCode
3376905
Title
On power and fault-tolerance optimization in FPGA physical synthesis
Author
Jose, Manu ; Hu, Yu ; Majumdar, Rupak
Author_Institution
Comput. Sci. Dept., Univ. of California, Los Angeles, CA, USA
fYear
2010
fDate
7-11 Nov. 2010
Firstpage
224
Lastpage
229
Abstract
Power and fault tolerance are deemed to be two orthogonal optimization objectives in FPGA synthesis, with independent attempts to develop algorithms and CAD tools to optimize each objective. In this paper, we study the relationship between these two optimizations and show empirically that there are strong ties between them. Specifically, we analyze the power and reliability optimization problems in FPGA physical synthesis (i.e., packing, placement, and routing), and show that the intrinsic structures of these two problems are very similar. Supported by the post routing results with detailed power and reliability analysis for a wide selection of benchmark circuits, we show that with minimal changes - fewer than one hundred lines of C code - an existing power-aware physical synthesis tool can be used to minimize the fault rate of a circuit under SEU faults. As a by-product of this study, we also show that one can improve the mean-time-to-failure by 100% with negligible area and delay overhead by performing fault-tolerant physical synthesis for FPGAs. The results from this study show a great potential to develop CAD systems co-optimized for power and fault-tolerance.
Keywords
circuit CAD; circuit optimisation; circuit reliability; fault tolerant computing; field programmable gate arrays; low-power electronics; power aware computing; reliability theory; C code; CAD tool; FPGA physical synthesis; SEU fault; benchmark circuit; fault tolerance optimization; mean time to failure; power aware physical synthesis tool; power optimization; reliability analysis; single event upset; Circuit faults; Fault tolerance; Fault tolerant systems; Optimization; Routing; Sensitivity; Table lookup; FPGA; Fault Tolerance; Low Power; Physical Synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design (ICCAD), 2010 IEEE/ACM International Conference on
Conference_Location
San Jose, CA
ISSN
1092-3152
Print_ISBN
978-1-4244-8193-4
Type
conf
DOI
10.1109/ICCAD.2010.5654149
Filename
5654149
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