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Approximate Bayesian computational methods [PDF]

Statistics and Computing, 2011
7 ...
Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder   +3 more
openaire   +4 more sources

Defensive approximation: securing CNNs using approximate computing [PDF]

Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021)
Guesmi, Amira, Alouani, Ihsen, Khasawneh, Khaled, Baklouti, Mouna, Frikha, Tarek, Abid, Mohamed, Abu-Ghazaleh, Nael   +6 more
openaire   +3 more sources

Optimized Inexact adder for Approximate Computing Applications [PDF]

JES: Journal of Engineering Sciences
For 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, DEIVASIGAMANI S, PUGAZHENDIRAN P, PRAKASH P, Jeya Prakash K   +4 more
doaj   +1 more source

Approximation Bayesian computation [PDF]

OA Genetics, 2013
Approximation Bayesian computation [ABC] is an analysis approach that has arisen in response to the recent trend to collect data that is of a magnitude far higher than has been historically the case. This has led to many existing methods become intractable because of difficulties in calculating the likelihood function.
openaire   +2 more sources

Approximate Computing for Stream Analytics [PDF]

, 2019
Approximate computing has become a promising mechanism to trade off accuracy for efficiency. The idea behind approximate computing is to compute over a representative sample instead of the entire input dataset.
Chen, Ruichuan, Ruichuan Chen, Bhatotia, Pramod, Strufe, Thorsten, Fetzer, Christof, Thorsten Strufe, Do Le Quoc, Christof Fetzer, Pramod Bhatotia, Quoc, Do Le, Hilt, Volker, Volker Hilt   +11 more
core   +1 more source

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, M. A. Hanif, B. Verstoep, S. H. Gerez, M. Shafique, A. B. J. Kokkeler   +5 more
doaj   +1 more source

Machine Learning Using Approximate Computing

Journal of Low Power Electronics and Applications
Approximate 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, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell   +2 more
doaj   +1 more source

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, Michael Lass, Christian Plessl, Thomas D. Kühne   +3 more
doaj   +1 more source

Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER: Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges [PDF]

, 2019
Modern radio telescopes require highly energy/power-efficient computing systems. Signal processing pipelines of such radio telescopes are dominated by accumulation based iterative processes.
A. B. J. Kokkeler, Gillani, Ghayoor, G. A. Gillani, Kokkeler, Andre B.J.   +3 more
core   +1 more source

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