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2018-2020 Index Proceedings of the IEEE Vol. 106-108

2020 Proceedings of the IEEE  
., and Qi, J., Machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction; JPROC Jan. 2020 51-68 Gonugondla, S.K., see Kang, M., 2251-2275 Gonzalez-De-Aledo, P., see -2039 Gonzalez-Garcia  ...  JPROC April 2018 626-660 Good, N., see Martinez Cesena, E.A., 1392-1410 Goodwill, D., see 2232-2245 Gopalakrishnan, K., see 2232-2250 Gorgovan, C., see -2039 Gower, R.M., Schmidt, M., Bach, F., and  ...  ., +, JPROC Aug. 2019 1537-1562 Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing.  ... 
doi:10.1109/jproc.2020.3040096 fatcat:35vqtzlkgjhzdhds5dbqyccesy

Nonsilicon, Non-von Neumann Computing—Part II

Sankar Basu, Randal E. Bryant, Giovanni De Micheli, Thomas Theis, Lloyd Whitman
2020 Proceedings of the IEEE  
The section opens with the article titled "Addressing unreliability in emerging devices and non-von Neumann architectures using coded computing," by Dutta et al.  ...  By contrast, in the present issue, the article titled "The heterogeneous deep neural network processor with a non-von Neumann architecture" by Shin and Yoo from KAIST, South Korea, suggests a non-von Neumann  ...  response to the OSTP Grand Challenge in computing.  ... 
doi:10.1109/jproc.2020.3001748 fatcat:tfvtbd5grzadhbrojokd27zpbm

On the Reliability of Computing-in-Memory Accelerators for Deep Neural Networks [article]

Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi
2022 arXiv   pre-print
However, most non-volatile memory (NVM) devices suffer from reliability issues, resulting in a difference between actual data involved in the nvCiM computation and the weight value trained in the data  ...  Computing-in-memory with emerging non-volatile memory (nvCiM) is shown to be a promising candidate for accelerating deep neural networks (DNNs) with high energy efficiency.  ...  CiM DNN Accelerators Computing-in-Memory Conventional von-Neumann architecture is not efficient because the cost of data movements between memory and processing units is high.  ... 
arXiv:2205.13018v1 fatcat:r7nbvcnnqfds7ok3cc7g6k3cfi

Stochastic computation

Naresh R. Shanbhag, Rami A. Abdallah, Rakesh Kumar, Douglas L. Jones
2010 Proceedings of the 47th Design Automation Conference on - DAC '10  
This paper traces the roots of stochastic computing from the Von Neumann era into its current form. Design and CAD challenges are described.  ...  Stochastic computation, as presented in this paper, exploits the statistical nature of application-level performance metrics, and matches it to the statistical attributes of the underlying device and circuit  ...  RELEVANT WORK Von Neumann [9] was the first to address the problem of reliable computation in presence of unreliable components.  ... 
doi:10.1145/1837274.1837491 dblp:conf/dac/ShanbhagAKJ10 fatcat:3rpvtrbr2vanfjqbg43be44ppi

Remarks on neurocybernetics and its links to computing science. To the memory of Prof. Luigi M. Ricciardi

Roberto Moreno-Díaz, Arminda Moreno-Díaz
2013 Biosystems (Amsterdam. Print)  
Ricciardi documenting the importance of his contributions in the mathematics of brain, neural nets and neurophysiological models, computational simulations and techniques.  ...  This paper explores the origins and content of neurocybernetics and its links to artificial intelligence, computer science and knowledge engineering.  ...  Acknowledgments This research has been supported by projects from MICINN (MTM2011-28983-C03-03) and CAM (P2009/ESP-1685).  ... 
doi:10.1016/j.biosystems.2012.11.003 pmid:23313513 fatcat:vgkarf7dwnbpdnahlxs3liuyie

Trends and Future Directions in Nano Structure Based Computing and Fabrication

R. Iris Bahar
2006 Computer Design (ICCD '99), IEEE International Conference on  
In this paper, we review some key issues and trends arising from nanostructure based computing and fabrication, while providing a few examples of defect-tolerant circuits and architectures currently being  ...  We end with a discussion on future challenges and direction in nanoscale computing.  ...  The nanoPLA is programmed using lithographic scale wires along with stochastically coded nanowire address [9] .  ... 
doi:10.1109/iccd.2006.4380865 dblp:conf/iccd/Bahar06 fatcat:fehrjg3bkzg6fop3kgca4qnd74

The algorithmic origins of life

S. I. Walker, P. C. W. Davies
2012 Journal of the Royal Society Interface  
is in requires dynamical information and therefore can only be inferred by identifying causal architecture.  ...  influence and constrain the dynamics of lower-levels in organizational hierarchies -- may be a major contributor to the hierarchal structure of living systems.  ...  Identifying the parallels between biological systems, such as the human nervous system, and computers, and drawing inspiration from Turing's work on universal computation, von Neumann [56] sought a formalism  ... 
doi:10.1098/rsif.2012.0869 pmid:23235265 pmcid:PMC3565706 fatcat:q2ms5u5nwrdlhioo6qjhpwsfpe

Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations

Luis A. Camuñas-Mesa, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona
2019 Materials  
However, the realization of learning strategies in these systems consumes an important proportion of resources in terms of area and power.  ...  Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding.  ...  Introduction The outstanding evolution of computers during the last 50 years has been based on the architecture proposed by Von Neumann in the 1940s [1] .  ... 
doi:10.3390/ma12172745 pmid:31461877 pmcid:PMC6747825 fatcat:bt6hgscpczd2ldc4xc6np7wsvu

Hardware-Software Co-Design: Not Just a Cliché

Adrian Sampson, James Bornholt, Luis Ceze, Marc Herbstritt
2015 Summit on Advances in Programming Languages  
It is time to embrace hardware-software co-design in earnest, to cooperate between programming languages and architecture to upend legacy constraints on computing.  ...  As the computing ecosystem moves beyond the predictable yearly advances of Moore's Law, appeals to familiarity and backwards compatibility will become less convincing: fundamental shifts in abstraction  ...  Non-volatile main memory is an example of an emerging architectural trend in desperate need of attention from a programming-model perspective.  ... 
doi:10.4230/lipics.snapl.2015.262 dblp:conf/snapl/SampsonBC15 fatcat:w53z5tuoujcx5eqfyn4c5s5eau

The Human Brain Project and neuromorphic computing

Andrea Calimera, Enrico Macii, Massimo Poncino
2013 Functional Neurology  
behavior of simple, reliable, very fast, lowpower computing devices embedded in intensely recursive architectures.  ...  In order to achieve this, a paradigm shift for computing as a whole is needed, which will see it moving away from current "bit precise" computing models and towards new techniques that exploit the stochastic  ...  As the substrate represents a typical non-von Neumann system architecture, the memory required for synaptic weights and cell parameters is distributed in the computing fabric and employs technologies like  ... 
doi:10.11138/fneur/2013.28.3.191 pmid:24139655 pmcid:PMC3812737 fatcat:lf5taz3vs5bcxhy3jw35elgzae

Neuromorphic Electronic Systems for Reservoir Computing [article]

Fatemeh Hadaeghi
2020 arXiv   pre-print
Due to its computational efficiency and the fact that training amounts to a simple linear regression, both spiking and non-spiking implementations of reservoir computing on neuromorphic hardware have been  ...  Here, a review of these experimental studies is provided to illustrate the progress in this area and to address the technical challenges which arise from this specific hardware implementation.  ...  I would also like to thank Herbert Jaeger, who provided insight and expertise that greatly assisted this research.  ... 
arXiv:1908.09572v2 fatcat:cimkbnvyrjc3lhixlyufgmqy3i

A Movable Architecture for Robust Spatial Computing

D. H. Ackley, D. C. Cannon, L. R. Williams
2012 Computer journal  
For more exotic, longer-term strategies, emerging biochemical and nanoscale computing mechanisms (e.g. [6, 7] ) might one day yield fine-grained robust spatial computers in which billions of devices are  ...  The fragility that von Neumann discussed-the long chains of logic with no allowance for error-remains embedded in our approach to computing today.  ...  In principle, if robustness and indefinite scalability are ignored, then a Turing machine or a von Neumann machine can be implemented, painfully, in an MFM, and traditional computational effects thus produced-but  ... 
doi:10.1093/comjnl/bxs129 fatcat:kfnhwe5wpvh4ffenic2u4qzhae

Photonic spike processing: ultrafast laser neurons and an integrated photonic network [article]

Bhavin J. Shastri, Alexander N. Tait, Mitchell A. Nahmias, Paul R. Prucnal
2014 arXiv   pre-print
Whereas neuromorphic engineering exploits the biophysics of neuronal computation algorithms to provide a wide range of computing and signal processing applications, photonics offer an alternative approach  ...  and decision-making.  ...  Cognitive computing platforms inspired by the architecture of the brain promise potent advantages in efficiency, fault tolerance and adaptability over von Neumann architectures for tasks involving pattern  ... 
arXiv:1407.2917v1 fatcat:ybesvgvrizbi7jbvy642diteja

PRINS: Resistive CAM Processing in Storage [article]

Leonid Yavits, Roman Kaplan, Ran Ginosar
2019 arXiv   pre-print
Since this approach replicates von Neumann architecture inside storage, it is exposed to the problems faced by von Neumann architecture, especially the bandwidth wall.  ...  We present PRINS, a novel in-data processing-in-storage architecture based on Resistive Content Addressable Memory (RCAM).  ...  Associative Processing Associative processor (AP) is a non-von-Neumann inmemory computer [76] .  ... 
arXiv:1805.09612v3 fatcat:gjgbvqf3ebc6lhn5abuipkhfey

Design and architectures for dependable embedded systems

Jörg Henkel, Lars Hedrich, Andreas Herkersdorf, Rüdiger Kapitza, Daniel Lohmann, Peter Marwedel, Marco Platzner, Wolfgang Rosenstiel, Ulf Schlichtmann, Olaf Spinczyk, Mehdi Tahoori, Lars Bauer (+10 others)
2011 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES+ISSS '11  
architecture.  ...  In addition, we present a new classification on faults, errors, and failures.  ...  Furthermore, we would like to thank Philip Axer (TU Braunschweig), Thomas Ebi (KIT), and Holm Rauchfuss (TUM) for support in preparing this paper.  ... 
doi:10.1145/2039370.2039384 dblp:conf/codes/HenkelBBBBCEEHHHKLMPRSSTTWW11 fatcat:jrd25bf65nfjxbuuuvy3bz6zsm
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