Results 41 to 50 of about 812,236 (286)
TAFFO: The compiler-based precision tuner
SoftwareX, 2022 We present taffo, a framework that automatically performs precision tuning to exploit the performance/accuracy trade-off. In order to avoid expensive dynamic analyses, taffo leverages programmer annotations which encapsulate domain knowledge about the ...
Daniele Cattaneo +3 more
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Low Power Neural Network by Reducing SRAM Operating Voltage
IEEE Access, 2022 With advancements in machine learning technology, networks are becoming increasingly complex, and the extent of the computation involved is increasing. Consequently, the computation time and power consumption of the learning process are increased.
Keisuke Kozu +3 more
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Sparse approximate inverse preconditioners on high performance GPU platforms [PDF]
, 2016 Simulation with models based on partial differential equations often requires the solution of (sequences of) large and sparse algebraic linear systems. In multidimensional domains, preconditioned Krylov iterative solvers are often appropriate for these ...
Bertaccini, Daniele +1 more
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Circuit Aware Approximate System Design With Case Studies in Image Processing and Neural Networks
IEEE Access, 2019 This paper aims to exploit approximate computing units in image processing systems and artificial neural networks. For this purpose, a general design methodology is introduced, and approximation-oriented architectures are developed for different ...
Tuba Ayhan, Mustafa Altun
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Theory and experimental verification of configurable computing with stochastic memristors
Scientific Reports, 2021 The inevitable variability within electronic devices causes strict constraints on operation, reliability and scalability of the circuit design. However, when a compromise arises among the different performance metrics, area, time and energy, variability ...
Rawan Naous +9 more
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Optimized Inexact adder for Approximate Computing Applications [PDF]
JES: Journal of Engineering SciencesFor appropriate multimedia devices, power consumption should be less and it plays a major role in designing such devices. Image compression methods make use of a variety of signal processing architectures and algorithms.
NARMADHA G +4 more
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MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing
IEEE Access, 2019 Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (e.g., area, latency, and power) design for a given quality constraint and vice versa.
G. A. Gillani +5 more
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Accurate Sampling with Noisy Forces from Approximate Computing
Computation, 2020 In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption ...
Varadarajan Rengaraj +3 more
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Machine Learning Using Approximate Computing
Journal of Low Power Electronics and ApplicationsApproximate computation has emerged as a promising alternative to accurate computation, particularly for applications that can tolerate some degree of error without significant degradation of the output quality.
Padmanabhan Balasubramanian +2 more
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Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling
IEEE Access, 2019 Ubiquitous computing and the ever-rising need for energy efficiency pose challenges in terms of the processing requirements and the corresponding machine complexity.
Ren Li +3 more
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