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Approximate computing: An emerging paradigm for energy-efficient design
Approximate computing has recently emerged as a promising approach to energy-efficient
design of digital systems. Approximate computing relies on the ability of many systems and …
design of digital systems. Approximate computing relies on the ability of many systems and …
System-level power optimization: techniques and tools
This tutorial surveys design methods for energy-efficient system-level design. We consider
electronic sytems consisting of a hardware platform and software layers. We consider the …
electronic sytems consisting of a hardware platform and software layers. We consider the …
Embedded power supply for low-power DSP
V Gutnik, AP Chandrakasan - IEEE Transactions on Very Large …, 1997 - ieeexplore.ieee.org
The use of dynamically adjustable power supplies as a method to lower power dissipation in
DSP is analyzed. Power can be reduced substantially without sacrificing performance in …
DSP is analyzed. Power can be reduced substantially without sacrificing performance in …
Energy-scalable protocols for battery-operated microsensor networks
In wireless sensor networks, the goal is to gather information from a large number of sensor
nodes and communicate the information to the end-user, all under the constraint of limited …
nodes and communicate the information to the end-user, all under the constraint of limited …
Approximate signal processing
It is increasingly important to structure signal processing algorithms and systems to allow for
trading off between the accuracy of results and the utilization of resources in their …
trading off between the accuracy of results and the utilization of resources in their …
Deep in-memory architectures in SRAM: An analog approach to approximate computing
This article provides an overview of recently proposed deep in-memory architectures
(DIMAs) in SRAM for energyand latency-efficient hardware realization of machine learning …
(DIMAs) in SRAM for energyand latency-efficient hardware realization of machine learning …
A low-power DCT core using adaptive bitwidth and arithmetic activity exploiting signal correlations and quantization
T Xanthopoulos… - IEEE Journal of Solid-State …, 2000 - ieeexplore.ieee.org
This work describes the implementation of a discrete cosine transform (DCT) core
compression system targetted to low-power video (MPEG2 MP@ ML) and still-image (JPEG) …
compression system targetted to low-power video (MPEG2 MP@ ML) and still-image (JPEG) …
Data driven signal processing: An approach for energy efficient computing
A Chandrakasan, V Gutnik… - Proceedings of 1996 …, 1996 - ieeexplore.ieee.org
The computational switching activity of digital CMOS circuits can be dynamically minimized
by designing algorithms that exploit signal statistics. This results in processors that have time …
by designing algorithms that exploit signal statistics. This results in processors that have time …
Energy-quality scalable integrated circuits and systems: Continuing energy scaling in the twilight of Moore's law
This paper aims to take stock of recent advances in the field of energy-quality (EQ) scalable
circuits and systems, as promising direction to continue the historical exponential energy …
circuits and systems, as promising direction to continue the historical exponential energy …
[CARTE][B] The computer engineering handbook
VG Oklobdzija - 2001 - taylorfrancis.com
There is arguably no field in greater need of a comprehensive handbook than computer
engineering. The unparalleled rate of technological advancement, the explosion of …
engineering. The unparalleled rate of technological advancement, the explosion of …