Mohab Anis

Mohamed Abu Rahma

Variability is one of the most challenging obstacles for IC design in the nanometer regime. In nanometer technologies, SRAM show an increased sensitivity to process variations due to low-voltage operation requirements, which are aggravated by the strong demand for lower power consumption and cost, while achieving higher performance and density. With the drastic increase in memory densities, lower supply voltages, and higher variations, statistical simulation methodologies become imperative to estimate memory yield and optimize performance and power. This book is an invaluable reference on robust SRAM circuits and statistical design methodologies for researchers and practicing engineers in the field of memory design. It combines state of the art circuit techniques and statistical methodologies to optimize SRAM performance and yield in nanometer technologies. Provides comprehensive review of state-of-the-art, variation-tolerant SRAM circuit techniques; Discusses Impact of device related process variations and how they affect circuit and system performance, from a design point of view; Helps designers optimize memory yield, with practical statistical design methodologies and yield estimation techniques.

Circuits and Statistical Design for Yield

Nanometer Variation-Tolerant SRAM

Hassan Hassan

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. Low-power techniques presented at key FPGA design levels for circuits, architectures, and electronic design automation, form critical, "bridge" guidelines for codesign Comprehensive review of leakage-tolerant techniques empowers designers to minimize power dissipation Provides valuable tools for estimating power efficiency/savings of current, low-power FPGA design techniques

Mohab Anis

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