Results 201 to 210 of about 165,505 (261)
An all-digital RF transmitter architecture based on jitter-enhanced PWM for flexible frequency applications. [PDF]
Long B+5 more
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Dynamics Research of the Hopfield Neural Network Based on Hyperbolic Tangent Memristor with Absolute Value. [PDF]
Gao H, Xu H.
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Conformal Radiation-Type Programmable Metasurface for Agile Millimeter-Wave Orbital Angular Momentum Generation. [PDF]
Cao A+7 more
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Borehole Radar Experiment in a 7500 m Deep Well. [PDF]
Yang H, Wang K, Liu Y, Guo C, Zhao Q.
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Realizing the Calculation of a Fully Normalized Associated Legendre Function Based on an FPGA. [PDF]
Fang Y, Wang Q, Yang Y.
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The Future of FPGA Acceleration in Datacenters and the Cloud
ACM Transactions on Reconfigurable Technology and Systems, 2022In this article, we survey existing academic and commercial efforts to provide Field-Programmable Gate Array (FPGA) acceleration in datacenters and the cloud.
C. Bobda+16 more
semanticscholar +1 more source
FPGA Architecture: Principles and Progression
IEEE Circuits and Systems Magazine, 2021Since their inception more than thirty years ago, field-programmable gate arrays (FPGAs) have been widely used to implement a myriad of applications from different domains. As a result of their low-level hardware reconfigurability, FPGAs have much faster
Andrew Boutros, Vaughn Betz
semanticscholar +1 more source
FPGA Accelerated FPGA Placement
2019 29th International Conference on Field Programmable Logic and Applications (FPL), 2019Placement is one of the runtime bottlenecks in an FPGA design implementation flow, in which global placement accounts for a major portion of the runtime. In this paper, we demonstrate FPGA acceleration of wirelength gradient computation, which is an important part of modern analytical placement tools.
Shounak Dhar+3 more
openaire +2 more sources
FTRANS: energy-efficient acceleration of transformers using FPGA
International Symposium on Low Power Electronics and Design, 2020In natural language processing (NLP), the "Transformer" architecture was proposed as the first transduction model replying entirely on self-attention mechanisms without using sequence-aligned recurrent neural networks (RNNs) or convolution, and it ...
Bingbing Li+9 more
semanticscholar +1 more source