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检索条件"任意字段=7th International Conference on Algorithms and Architectures for Parallel Processing"
2975 条 记 录,以下是2851-2860 订阅
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DT-CGRA: Dual-track coarse-grained reconfigurable architecture for stream applications
DT-CGRA: Dual-track coarse-grained reconfigurable architectu...
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international conference on Field Programmable Logic and Applications
作者: Xitian Fan Huimin Li Wei Cao Lingli Wang State Key Laboratory of ASIC and System Fudan University Shanghai China
this paper presents a new type of coarse-grained reconfigurable architecture (CGRA) for the object inference domain in machine learning. the proposed CGRA is optimized for stream processing and a correspondent program... 详细信息
来源: 评论
RC6 architecture-adaptive implementation for coarse-grained reconfiguration array
RC6 architecture-adaptive implementation for coarse-grained ...
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international conference on ASIC
作者: Anqi Yin Zibin Dai Longmei Nan Wei Li Department of Microelectronics Institute of Information Science and Technology Zhengzhou China School of Microelectronics Fudan University Shanghai China
there are a mass of advantages for mapping cryptographic algorithms on the Coarse-Grained Reconfiguration Array (CGRA), nevertheless it also have raised some challenges. the hardest one is how to map. In this paper, w... 详细信息
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Constructing a Mobility and Acceleration Computing Platform with NVIDIA Jetson TK1
Constructing a Mobility and Acceleration Computing Platform ...
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IEEE international Symposium on Cyberspace Safety and Security
作者: Min Su Jianjun Tan Chun-Yuan Lin Jin Ye Chung-Hung Wang Che-Lun Hung College of Life Science and Bioengineering Beijing University of Technology Department of Computer Science and Information Engineering Chang Gung University Department of Computer Science and Communication Engineering Providence University
Current high-end graphics processing units (GPUs), which contain up to thousand cores per-chip, are widely used in the high performance computing community. However, in the past, the cost and power consumption of cons... 详细信息
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Real-Time Non-rigid Registration of Medical Images on a Cooperative parallel Architecture
Real-Time Non-rigid Registration of Medical Images on a Coop...
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IEEE international conference on Bioinformatics and Biomedicine (BIBM)
作者: Yixun Liu Andriy Fedorov Ron Kikinis Nikos Chrisochoides Department of Computer Science College of William and Mary Williamsburg USA Surgical Planning Laboratory Brigham and Women''s Hospital Boston USA
Unacceptable execution time of Non-rigid registration (NRR) often presents a major obstacle to its routine clinical use. parallel computing is an effective way to accelerate NRR. However, development of efficient para... 详细信息
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A PID-Optimized Olen Campton Beamforming Method
A PID-Optimized Olen Campton Beamforming Method
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IEEE international conference on Information Communication and Signal processing (ICICSP)
作者: Wei Si Hua Yi Xin Yang Yu Xuan Chen Xiang Hao Hou Shaanxi Key Laboratory of Underwater Information Technology Northwestern Polytechnical University Xi'an China
An adaptive narrowband beamforming method based on proportional-integral-differential (PID) virtual interference control which is called PID-optimized Olen Campton beamforming method (PIDBF) is proposed, achieving hig... 详细信息
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Prototyping of Low-Cost Configurable Sparse Neural processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array
Prototyping of Low-Cost Configurable Sparse Neural Processin...
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international conference on parallel and Distributed Systems (ICPADS)
作者: Binyi Wu Wolfgang Furtner Bernd Waschneck Christian Mayr Faculty of Electrical and Computer Engineering Technische Universit¨at Dresden Dresden Germany Division of Power and Sensor Systems Infineon Technologies Munich Germany Centre for Tactile Internet with Human-in-the-loop (CeTI) Technische Universität Dresden Dresden Germany
More recently, it has become possible to run deep learning algorithms on edge devices such as microcontrollers due to continuous improvements in neural network optimization algorithms such as quantization and neural a... 详细信息
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CPU and GPU Implementation of QCD by using OpenCL
CPU and GPU Implementation of QCD by using OpenCL
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7th international conference on Computer Science and Information Technology(ICCSIT’2015)
作者: J.Sa B.Noh H.Kim D.Choi S.Lee Y.Chung D.Kim H.Jang Department of Computer and Information Science Korea University Department of Physics Gangneung-Wonju National University Korea Institute of Science and Technology Information (KISTI)
Recently, many particle physics applications can be parallelized by using multicore platforms such as CPU and GPU. In this paper, we propose a parallel processing approach for Quantum Chromo Dynamics(QCD) application ... 详细信息
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A High-Speed Pipelined Architecture for Block Motion Estimation Using Hexagon-Based Search Algorithm
A High-Speed Pipelined Architecture for Block Motion Estimat...
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IEEE India conference (INDICON)
作者: Raveesh Garg Karri Babu Ravi Teja Department of Electrical and Electronics Engineering Birla Institute of Technology and Science Pilani Pilani India
Motion Estimation is the most time-consuming part in an H.264 video codec. Accelerated motion estimation can reduce the video compression time significantly. In this paper, we propose a high-speed parallel and pipelin... 详细信息
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Language Comparison via Network Topology  1
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7th international conference on Statistical Language and Speech processing, SLSP 2019
作者: Škrlj, Blaž Pollak, Senja Jožef Stefan International Postgraduate School Ljubljana Slovenia Jožef Stefan Institute Ljubljana Slovenia Usher Institute Medical School University of Edinburgh Edinburgh United Kingdom
Modeling relations between languages can offer understanding of language characteristics and uncover similarities and differences between languages. Automated methods applied to large textual corpora can be seen as op... 详细信息
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Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Counterfactual Gradients-based Quantification of Prediction ...
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IEEE conference on Multimedia Information processing and Retrieval (MIPR)
作者: Mohit Prabhushankar Ghassan AlRegib School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
the widespread adoption of deep neural networks in machine learning calls for an objective quantification of esoteric trust. In this paper we propose GradTrust, a classification trust measure for large-scale neural ne... 详细信息
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