This reference text covers a wide spectrum for designing robust
embedded memory and peripheral circuitry. It will serve as a useful
text for senior undergraduate, graduate students and professionals
in areas including electronics and communications engineering,
electrical engineering, mechanical engineering, and aerospace
engineering. Discusses low power design methodologies for SRAM.
Covers radiation hardened SRAM design for aerospace applications.
Focusses on various reliability issues which are faced by
sub-micron technologies. Exhibits more stable memory topologies.
Nanoscale technologies unveiled significant challenges to the
design of energy efficient and reliable SRAMs. This reference text
investigates the impact of process variation, leakage, aging, soft
errors and related reliability issues in embedded memory and
periphery circuitry. The text adopts a unique way to explain SRAM
bitcell, array design and analysis of its design parameters to meet
the sub-nano-regime challenges for CMOS devices. It comprehensively
covers low power design methodologies for SRAM, exhibits more
stable memory topologies, and radiation hardened SRAM design for
aerospace applications. Every chapter includes glossary,
highlights, question bank, and problems. The text will serve as a
useful text for senior undergraduate, graduate students and
professionals in areas including electronics and communications
engineering, electrical engineering, mechanical engineering, and
aerospace engineering. Discussing compressively study of
variability induced failure mechanism in sense amplifiers and
power, delay and read yield trade-offs, this reference text will
serve as a useful text for senior undergraduate, graduate students
and professionals in areas including electronics and communications
engineering, electrical engineering, mechanical engineering, and
aerospace engineering. It covers development of robust SRAMs, well
suited for low-power multi-core processors for wireless sensors
node, battery-operated portable devices, personal healthcare
assistants and smart IoT applications.
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