Low-Power Design of Nanometer FPGAs

Architecture and EDA


  • Hassan Hassan, Staff Engineer in the timing and power group at Actel Corporation.
  • Mohab Anis, Tenured Associate Professor at the Department of Electrical and Computer Engineering, University of Waterloo.

Low-Power Design of Nanometer FPGAs Architecture and EDA is an invaluable reference for researchers and practicing engineers concerned with power-efficient, FPGA design. State-of-the-art power reduction techniques for FPGAs will be described and compared. These techniques can be applied at the circuit, architecture, and electronic design automation levels to describe both the dynamic and leakage power sources and enable strategies for codesign.
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Researchers, Circuit-Design Professionals, and EE/ECE Graduate Students concerned with low-power FPGA design. This includes designers at companies globally such as Xilinx, Altera, Actel, Cypress, Lattice Semiconductor, TI, Mentor Graphics, Cadence, Synopsis, Magma, Quicklogic, National Semiconductor, and Freescale.


Book information

  • Published: September 2009
  • ISBN: 978-0-12-374438-8

Table of Contents

Chapter 1: FPGA Overview: Architecture and CAD
   1.1 Introduction
   1.2 FPGA Logic Resources Architecture
   1.3 FPGA Routing Resources Architecture
   1.4 CAD for FPGAs
   1.5 Versatile Place and Route (VPR) CAD Tool
Chapter 2: Power Dissipation in Modern FPGAs
2.1 CMOS Technology Scaling Trends and Power Dissipation in VLSI Circuits
   2.2 Dynamic Power in FPGAs
   2.3 Leakage Power in FPGAs
Chapter 3: Power Estimation in FPGAs
3.1 Introduction
   3.2 Power Estimation in VLSI: An Overview
   3.3 Commercial FPGA Power Estimation Techniques
   3.4 A Survey of FPGA Power Estimation Techniques
   3.5 A Complete Analytical FPGA Power Model under Spatial Correlation
Chapter 4: Dynamic Power Reduction Techniques in FPGAs
4.1 Multiple Supply Voltages
   4.2 Reducing Glitches in FPGAs
   4.3 CAD Techniques for Reducing Dynamic Power in FPGAs
Chapter 5: Leakage Power Reduction in FPGAs Using MTCMOS Techniques
5.1 Introduction
   5.2 MTCMOS FPGA Architecture
   5.3 Sleep Transistor Design and Discharge Current Processing
   5.4 Activity Profile Generation
   5.5 Activity Packing Algorithms
   5.6 Power Estimation
   5.7 Results an Discussion
Chapter 6: Leakage Power Reduction in FPGAs Through Input Pin Reordering
6.1 Leakage Power and Input State Dependency in FPGAs
   6.2 Proposed Input Pin Reordering Algorithm
   6.3 Experimental Results
   6.4 Conclusion