By Topic

High-Level Power Estimation and Low-Power Design Space Exploration for FPGAs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Deming Chen ; Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana-Champaign, IL ; Cong, J. ; Yiping Fan ; Zhiru Zhang

In this paper, we present a simultaneous resource allocation and binding algorithm for FPGA power minimization. To fully validate our methodology and result, our work targets a real FPGA architecture - Altera Stratix FPGA, which includes generic logic elements, DSP cores, and memories, etc. We design a high-level power estimator for this architecture and evaluate its estimation accuracy against a commercial gate-level power estimator - Quartus II PowerPlay Analyzer. During the synthesis stage, we pay special attention to interconnections and multiplexers. We concentrate on resource allocation and binding tasks because they are the key steps to determine the interconnections. We use a novel approach to explore the design space. Experimental results show that our high-level power estimator is 8.7% away from PowerPlay Analyzer. Meanwhile, we are able to achieve a significant amount of power reduction (32%) with better circuit speed (16%) compared to a traditional resource allocation and binding algorithm.

Published in:

Design Automation Conference, 2007. ASP-DAC '07. Asia and South Pacific

Date of Conference:

23-26 Jan. 2007