Low-Power FPGA Design Using Memoization-Based Approximate Computing
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[1] Asit K. Mishra,et al. iACT: A Software-Hardware Framework for Understanding the Scope of Approximate Computing , 2014 .
[2] Jesús Corbal,et al. Dynamic Tolerance Region Computing for Multimedia , 2012, IEEE Trans. Computers.
[3] John Lach,et al. A methodology for energy-quality tradeoff using imprecise hardware , 2012, DAC Design Automation Conference 2012.
[4] D. Michie. “Memo” Functions and Machine Learning , 1968, Nature.
[5] Sherief Reda,et al. ABACUS: A technique for automated behavioral synthesis of approximate computing circuits , 2014, 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[6] Kaushik Roy,et al. Analysis and characterization of inherent application resilience for approximate computing , 2013, 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC).
[7] Kaushik Roy,et al. Low-Power Digital Signal Processing Using Approximate Adders , 2013, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[8] Kaushik Roy,et al. IMPACT: IMPrecise adders for low-power approximate computing , 2011, IEEE/ACM International Symposium on Low Power Electronics and Design.
[9] Leon Sterling,et al. The art of Prolog (2nd ed.): advanced programming techniques , 1994 .
[10] Puneet Gupta,et al. Trading Accuracy for Power with an Underdesigned Multiplier Architecture , 2011, 2011 24th Internatioal Conference on VLSI Design.
[11] Farzad Khalvati,et al. Window memoization: an efficient hardware architecture for high-performance image processing , 2010, Journal of Real-Time Image Processing.
[12] Luis Ceze,et al. Architecture support for disciplined approximate programming , 2012, ASPLOS XVII.
[13] M. Valero,et al. Fuzzy memoization for floating-point multimedia applications , 2005, IEEE Transactions on Computers.
[14] Larry Rudolph,et al. Accelerating multi-media processing by implementing memoing in multiplication and division units , 1998, ASPLOS VIII.
[15] George A. Constantinides,et al. Imprecise Datapath Design: An Overclocking Approach , 2015, TRETS.
[16] Daniel Gajski,et al. Introduction to high-level synthesis , 1994, IEEE Design & Test of Computers.
[17] Jason Helge Anderson,et al. LegUp: high-level synthesis for FPGA-based processor/accelerator systems , 2011, FPGA '11.
[18] Jie Han,et al. Approximate computing: An emerging paradigm for energy-efficient design , 2013, 2013 18th IEEE European Test Symposium (ETS).
[19] Naresh R. Shanbhag,et al. Energy-efficient signal processing via algorithmic noise-tolerance , 1999, Proceedings. 1999 International Symposium on Low Power Electronics and Design (Cat. No.99TH8477).