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Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler and Cong Hao
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool fl...
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Vladislav Shatravin, Dmitriy Shashev and Stanislav Shidlovskiy
The remarkable results of applying machine learning algorithms to complex tasks are well known. They open wide opportunities in natural language processing, image recognition, and predictive analysis. However, their use in low-power intelligent systems i...
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Xuechen Zang and Shigetoshi Nakatake
Neural networks have been widely used and implemented on various hardware platforms, but high computational costs and low similarity of network structures relative to hardware structures are often obstacles to research. In this paper, we propose a novel ...
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Lorenzo De Marinis, Marco Cococcioni, Odile Liboiron-Ladouceur, Giampiero Contestabile, Piero Castoldi and Nicola Andriolli
Reconfigurable linear optical processors can be used to perform linear transformations and are instrumental in effectively computing matrix?vector multiplications required in each neural network layer. In this paper, we characterize and compare two therm...
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Qaiser Ijaz, El-Bay Bourennane, Ali Kashif Bashir and Hira Asghar
Modern datacenters are reinforcing the computational power and energy efficiency by assimilating field programmable gate arrays (FPGAs). The sustainability of this large-scale integration depends on enabling multi-tenant FPGAs. This requisite amplifies t...
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Alexey I. Dordopulo,Ilya I. Levin
Pág. 4 - 23
In the paper, we review a suboptimal methodology of mapping of a task information graph on the architecture of a reconfigurable computer system. Using performance reduction methods, we can solve computational problems which need hardware costs ...
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Mário P. Véstias
The convolutional neural network (CNN) is one of the most used deep learning models for image detection and classification, due to its high accuracy when compared to other machine learning algorithms. CNNs achieve better results at the cost of higher com...
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Zümrüt Hatice SEKKELI, Ismail BAKAN
Pág. 203 - 220
The effect of technological developments, IoTs and Cyber-Physical Systems are begun to use at manufacturing. This alteration led to the start of the revolution Industry 4.0. (Wang and Zhou, 2015). In other words, the main elements of Industry...
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Ling Zhuo; Prasanna, V.K.
Pág. 433 - 448
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Bondalapati, K. Prasanna, V. K.
Pág. 1201 - 1217
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