Results 41 to 50 of about 808,804 (331)

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, Rawan Naous, Hossein Fariborzi, Khaled Nabil Salama   +3 more
doaj   +1 more source

Rigorous numerics for nonlinear operators with tridiagonal dominant linear part [PDF]

, 2015
We present a method designed for computing solutions of infinite dimensional non linear operators $f(x) = 0$ with a tridiagonal dominant linear part. We recast the operator equation into an equivalent Newton-like equation $x = T(x) = x - Af(x)$, where $A$
Breden, Maxime, Desvillettes, Laurent, Lessard, Jean-Philippe   +2 more
core   +2 more sources

Approximate Computing: Concepts, Architectures, Challenges, Applications, and Future Directions

IEEE Access
The unprecedented progress in computational technologies led to a substantial proliferation of artificial intelligence applications, notably in the era of big data and IoT devices.
Ayad M. Dalloo, Amjad Jaleel Humaidi, Ammar K. Al Mhdawi, Hamed Al-Raweshidy   +3 more
doaj   +1 more source

Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization [PDF]

, 2015
Dual decomposition has been successfully employed in a variety of distributed convex optimization problems solved by a network of computing and communicating nodes.
Jamali-Rad, Hadi, Simonetto, Andrea
core   +2 more sources

Two-loop QCD Corrections to $b \to c$ Transitions at Zero Recoil: Analytical Results [PDF]

, 1997
We present analytical results for the $O(\alpha _s ^2)$ contributions to the functions $\eta _A$ and $\eta _V$ which parameterize QCD corrections to semileptonic $b \to c$ transitions at zero recoil. Previously obtained approximate results are confirmed.
Andrzej Czarnecki, Broadhurst, Broadhurst, Chetyrkin, Close, Czarnecki, Czarnecki, Eichten, Gray, Gray, Isgur, Isgur, Kirill Melnikov, Neubert, Paschalis, Shifman, Shifman, Voloshin   +17 more
core   +2 more sources

CNN Inference Using a Preprocessing Precision Controller and Approximate Multipliers With Various Precisions

IEEE Access, 2021
This article proposes boosting the multiplication performance for convolutional neural network (CNN) inference using a precision prediction preprocessor which controls various precision approximate multipliers.
Issam Hammad, Ling Li, Kamal El-Sankary, W. Martin Snelgrove   +3 more
doaj   +1 more source

A Low-Power and High-Accuracy Approximate Multiplier With Reconfigurable Truncation

IEEE Access, 2022
Multipliers are among the most critical arithmetic functional units in many applications, and those applications commonly require many multiplications which result in significant power consumption. For applications that have error tolerance, employing an
Fang-Yi Gu, Ing-Chao Lin, Jia-Wei Lin
doaj   +1 more source

An Approximate GEMM Unit for Energy-Efficient Object Detection

Sensors, 2021
Edge computing brings artificial intelligence algorithms and graphics processing units closer to data sources, making autonomy and energy-efficient processing vital for their design.
Ratko Pilipović, Vladimir Risojević, Janko Božič, Patricio Bulić, Uroš Lotrič   +4 more
doaj   +1 more source

An effective likelihood-free approximate computing method with statistical inferential guarantees [PDF]

, 2018
Approximate Bayesian computing is a powerful likelihood-free method that has grown increasingly popular since early applications in population genetics.
Li, Wentao, Thornton, Suzanne, Xie, Min-ge   +2 more
core   +1 more source

Privacy Leakages in Approximate Adders

, 2018
Approximate computing has recently emerged as a promising method to meet the low power requirements of digital designs. The erroneous outputs produced in approximate computing can be partially a function of each chip's process variation. We show that, in
Holcomb, Daniel, Keshavarz, Shahrzad
core   +1 more source