Results 231 to 240 of about 453,183 (277)
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ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA

Symposium on Field Programmable Gate Arrays, 2016
Long Short-Term Memory (LSTM) is widely used in speech recognition. In order to achieve higher prediction accuracy, machine learning scientists have built increasingly larger models.
Song Han   +11 more
semanticscholar   +1 more source

Trusted design in FPGAs

Proceedings of the 44th annual conference on Design automation - DAC '07, 2007
Using FPGAs, a designer can separate the design process from the manufacturing flow. Therefore, the owner of a sensitive design need not expose the design to possible theft and tampering during its manufacture, dramatically simplifying the process of assuring trust in that design.
openaire   +1 more source

Teaching FPGA security

2013 International Conference on Field-Programmable Technology (FPT), 2013
Teaching FPGA security to electrical engineering students is new at graduate level. It requires a wide field of knowledge and a lot of time. This paper describes a compact course on FPGA security that is available to electrical engineering master's students at the Saint-Etienne Institute of Telecom, University of Lyon, France.
openaire   +2 more sources

FPGA

2013
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openaire   +3 more sources

FPGAs

2017
Field Programmable Gate Arrays (FPGAs) are currently recognized as the most suitable platform for the implementation of complex digital systems targeting an increasing number of industrial electronics applications. They cover a huge variety of application areas, such as: aerospace, food industry, art, industrial automation, automotive, biomedicine ...
Juan José Rodríguez Andina   +2 more
openaire   +1 more source

Programming FPGAs---Programming FPGAs

Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06, 2006
Mark I. Parsons, Francis W. Wray
openaire   +1 more source

FPGA

2010
The method of Moore FSM as a Petri network on FPGA is offered. The method is based on the flow-chart transformation to a Petri network with its realization as principal circuit. The features of the Moore FSM circuit realization on FPGA are considered and the method of its synthesis on the base of flow-chart is offered.
openaire   +3 more sources

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

Symposium on Field Programmable Gate Arrays, 2015
Chen Zhang   +5 more
semanticscholar   +1 more source

Trends of CPU, GPU and FPGA for high-performance computing

International Conference on Field-Programmable Logic and Applications, 2014
M. Véstias, H. Neto
semanticscholar   +1 more source

Trust in FPGA-accelerated Cloud Computing

ACM Computing Surveys, 2021
Furkan Turan, Íngrid Verbauwhede
exaly  

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