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检索条件"任意字段=FPGA 2000: ACM/SIGDA International Symposium on Field Programmable Gate Arrays"
1376 条 记 录,以下是311-320 订阅
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An Energy-Efficient fpga Implementation of an LSTM Network Using Approximate Computing  19
An Energy-Efficient FPGA Implementation of an LSTM Network U...
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Elham Azari Aykut Dengi Sarma Vrudhula Arizona State University Tempe AZ USA
Long Short-Term Memory (LSTM) Recurrent Neural network (RNN) is known for its capability in modeling temporal aspects of data and has been shown to produce promising results in sequence learning tasks such as language... 详细信息
来源: 评论
HSC-fpga  19
HSC-FPGA
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Ramtin Zand Ronald F. DeMara University of Central Florida ORLANDO FL USA University of Central Florida Orlando FL USA
The HSC-fpga offers an intriguing feasible architecture for the next generation of configurable fabrics, which allows embracing the advantages of both CMOS and beyond-CMOS technologies without requiring significant mo... 详细信息
来源: 评论
Fault Testing a Synthesizable Embedded Processor at gate Level using UltraScale fpga Emulation  19
Fault Testing a Synthesizable Embedded Processor at Gate Lev...
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Tom J. Mannos Brian Dziki Moslema Sharif Sandia National Laboratories Albuquerque NM USA Department of Defense Fort G. G. Meade MD USA
While several applications exist to fault-test software at the abstract level, gate-level fault testing has traditionally been limited to injecting faults into small, dedicated circuits, due the computational time req... 详细信息
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Efficient fpga Implementation of Conjugate Gradient Methods for Laplacian System using HLS  19
Efficient FPGA Implementation of Conjugate Gradient Methods ...
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Sahithi Rampalli Natasha Sehgal Ishita Bindlish Tanya Tyagi Pawan Kumar International Institute of Information Technology Hyderabad India
In conjugate gradient method to solve partial differential equations, matrix vector operations are required in each iteration; these matrix vector operations can be implemented as 5 point finite difference stencil ope... 详细信息
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JuxtaPiton: Enabling Heterogeneous-ISA Research with RISC-V and SPARC fpga Soft-cores  19
JuxtaPiton: Enabling Heterogeneous-ISA Research with RISC-V ...
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Katie Lim Jonathan Balkind David Wentzlaff University of Washington Seattle WA USA Princeton University Princeton NJ USA Princeton University Princeton NJ USA
Energy efficiency has become an increasingly important concern in computer architecture due to the end of Dennard scaling. Heterogeneity has been explored as a way to achieve better energy efficiency and heterogeneous... 详细信息
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Rapid Prototyping of Parameterized Rotated and Cyclic Q Delayed Constellations Demapper  29
Rapid Prototyping of Parameterized Rotated and Cyclic Q Dela...
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29th international symposium on Rapid System Prototyping, RSP 2018
作者: Waqas, Muhammad Jafri, Atif Raza Baghdadi, Amer Najam-Ul-Islam, M. Bahria University Islamabad Pakistan Lab-STICC laboratory IMT Atlantique Brest France
Rotated and Cyclic Q Delayed (RCQD) modulation is one of the signal processing schemes which, once used on the transmitter side, provides performance improvement on receiver side in case of fading channel conditions w... 详细信息
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fpga-based Distributed Edge Training of SVM  19
FPGA-based Distributed Edge Training of SVM
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Jyotikrishna Dass Yashwardhan Narawane Rabi Mahapatra Vivek Sarin Texas A&M University College Station TX USA
Support Vector Machine (SVM) is a widely used supervised machine learning algorithm for classification. Training SVM is challenging due to high computational cost and memory requirements. More often such training is h... 详细信息
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On Feasibility of fpgas Without Dedicated programmable Interconnect Structure  19
On Feasibility of FPGAs Without Dedicated Programmable Inter...
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Anastasiia Kucherenko Stefan Nikolic Paolo Ienne École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland
It is a well known fact that a great majority of fpga chip area goes into the programmable interconnect structure. Since area consumption is mostly proportional to the level of flexibility the interconnect structure o... 详细信息
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FTConv: fpga Acceleration for Transposed Convolution Layers in Deep Neural Networks  19
FTConv: FPGA Acceleration for Transposed Convolution Layers ...
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Zhucheng Tang Guojie Luo Ming Jiang Peking University Beijing China
Transposed convolution, which is often used to scale up feature maps in various computer vision tasks, is a structural inverse process of convolution. Both convolution and transposed convolution, if any, account for t... 详细信息
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Compressed CNN Training with fpga-based Accelerator  19
Compressed CNN Training with FPGA-based Accelerator
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Proceedings of the 2019 acm/sigda international symposium on field-programmable gate arrays
作者: Kaiyuan Guo Shuang Liang Jincheng Yu Xuefei Ning Wenshuo Li Yu Wang Huazhong Yang Tsinghua University Beijing China
Training convolutional neural network (CNN) usually requires large amount of computation resource, time and power. Researchers and cloud service providers in this region needs fast and efficient training system. GPU i... 详细信息
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