Volume 10 Issue 4
Apr.  2017
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Jun-Shi Wang, Le-Tian Huang, Hui Dong, Terrence Mak. Estimating Power for FPGAs Based on Signal Probability Theory[J]. Journal of Electronic Science and Technology, 2012, 10(4): 302-308. doi: 10.3969/j.issn.1674-862X.2012.04.004
Citation: Jun-Shi Wang, Le-Tian Huang, Hui Dong, Terrence Mak. Estimating Power for FPGAs Based on Signal Probability Theory[J]. Journal of Electronic Science and Technology, 2012, 10(4): 302-308. doi: 10.3969/j.issn.1674-862X.2012.04.004

Estimating Power for FPGAs Based on Signal Probability Theory

doi: 10.3969/j.issn.1674-862X.2012.04.004
Funds:

This work was supported by the National Natural Science Foundation of China under Grant No. 61176025 and No. 61006027, the Fundamental Research Funds for the Central Universities under Grant No. ZYGX2012J003, National Laboratory of Analogue Integrated Circuit Grants under Grant No. 9140C0901101002 and No. 9140C0901101003, and New Century Excellent Talents Program under Grant No. NCET-10-0297.

  • Received Date: 2012-08-07
  • Rev Recd Date: 2012-10-22
  • Publish Date: 2012-12-25

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Estimating Power for FPGAs Based on Signal Probability Theory

doi: 10.3969/j.issn.1674-862X.2012.04.004
Funds:

This work was supported by the National Natural Science Foundation of China under Grant No. 61176025 and No. 61006027, the Fundamental Research Funds for the Central Universities under Grant No. ZYGX2012J003, National Laboratory of Analogue Integrated Circuit Grants under Grant No. 9140C0901101002 and No. 9140C0901101003, and New Century Excellent Talents Program under Grant No. NCET-10-0297.

Abstract: Power dissipation has become one of the key optimization conditions in logic design on field programmable gate arrays (FPGAs), thus the power estimation is necessary for logic design optimization. Nowadays, signal activity data created by logic simulation based on test vectors is essential to be used to determine the toggle rate of each signals and blocks in power estimation tools provided by field programmable gate array (FPGA) electronic design automation (EDA) tools. The accuracy of power estimation highly depends on the quality of test vectors, especially, pattern coverage. As probability distribution can describe the uncertainty signals, this work provides an algorithm which can estimate FPGAs power more effectively and accurately by using signal probability distribution rather than test vectors.

Jun-Shi Wang, Le-Tian Huang, Hui Dong, Terrence Mak. Estimating Power for FPGAs Based on Signal Probability Theory[J]. Journal of Electronic Science and Technology, 2012, 10(4): 302-308. doi: 10.3969/j.issn.1674-862X.2012.04.004
Citation: Jun-Shi Wang, Le-Tian Huang, Hui Dong, Terrence Mak. Estimating Power for FPGAs Based on Signal Probability Theory[J]. Journal of Electronic Science and Technology, 2012, 10(4): 302-308. doi: 10.3969/j.issn.1674-862X.2012.04.004

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