Difference between revisions of "Majzoobi2010rapid"
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|url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5699248 | |url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5699248 | ||
|abstract=<p>This paper introduces a set of novel techniques for rapid post-silicon characterization of FPGA timing vari- ability. The existing built-in self-test (BIST) methods work by incrementing the clock frequency until timing failures occur within the combinational circuit-under-test (CUT). A standing challenge for industrial adoption of post-silicon device profiling by this method is the time required for the characterization process. To perform rapid and accurate delay characterization, we introduce a number of techniques to rapidly scan the CUTs while changing the clock frequency using off-chip and on-chip clock synthesis modules. We next find a compact parametric representation of the CUT timing failure probability. Using this representation, the minimum number of frequency samples is determined to accurately estimate the delay for each CUT within the 2D FPGA array. After that, we exploit the spatial correlation of the delays across the FPGA die to measure a small subset of CUT delays from an array of CUTs and recover the remaining entries with high accuracy. Our implementation and evaluations on Xilinx Virtex 5 FPGA demonstrate that the combination of the new techniques reduces the characterization timing overhead by at least three orders of magnitude while simultaneously reducing the required storage requirements.</p> | |abstract=<p>This paper introduces a set of novel techniques for rapid post-silicon characterization of FPGA timing vari- ability. The existing built-in self-test (BIST) methods work by incrementing the clock frequency until timing failures occur within the combinational circuit-under-test (CUT). A standing challenge for industrial adoption of post-silicon device profiling by this method is the time required for the characterization process. To perform rapid and accurate delay characterization, we introduce a number of techniques to rapidly scan the CUTs while changing the clock frequency using off-chip and on-chip clock synthesis modules. We next find a compact parametric representation of the CUT timing failure probability. Using this representation, the minimum number of frequency samples is determined to accurately estimate the delay for each CUT within the 2D FPGA array. After that, we exploit the spatial correlation of the delays across the FPGA die to measure a small subset of CUT delays from an array of CUTs and recover the remaining entries with high accuracy. Our implementation and evaluations on Xilinx Virtex 5 FPGA demonstrate that the combination of the new techniques reduces the characterization timing overhead by at least three orders of magnitude while simultaneously reducing the required storage requirements.</p> | ||
|month=11 | |||
|year=2010 | |||
|booktitle=International Test Conference (ITC) | |booktitle=International Test Conference (ITC) | ||
|title=Rapid FPGA Characterization using Clock Synthesis and Signal Sparsity | |title=Rapid FPGA Characterization using Clock Synthesis and Signal Sparsity | ||
|entry=inproceedings | |entry=inproceedings | ||
}} | }} | ||
Revision as of 03:38, 4 September 2021
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| author | Mehrdad Majzoobi and Eva Dyer and Ahmed Elnably and Farinaz Koushanfar |
| booktitle | International Test Conference (ITC) |
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| month | 11 |
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| title | Rapid FPGA Characterization using Clock Synthesis and Signal Sparsity |
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| year | 2010 |
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| url | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5699248 |
Email:
farinaz@ucsd.edu
farinaz@ucsd.edu
Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093