Results 291 to 300 of about 370,968 (321)
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DNNBuilder: an Automated Tool for Building High-Performance DNN Hardware Accelerators for FPGAs
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018Building a high-performance FPGA accelerator for Deep Neural Networks (DNNs) often requires RTL programming, hardware verification, and precise resource allocation, all of which can be time-consuming and challenging to perform even for seasoned FPGA ...
Xiaofan Zhang +6 more
semanticscholar +1 more source
1987
The acceleration principle holds that the demand for capital goods is a derived demand and that changes in the demand for output lead to changes in the demand for capital stock and, hence, lead to investment. The flexible accelerator, which includes both demand and supply elements, allows for lags in the adjustment of the actual capital stock towards ...
Junankar, Pramod N. +2 more
openaire +2 more sources
The acceleration principle holds that the demand for capital goods is a derived demand and that changes in the demand for output lead to changes in the demand for capital stock and, hence, lead to investment. The flexible accelerator, which includes both demand and supply elements, allows for lags in the adjustment of the actual capital stock towards ...
Junankar, Pramod N. +2 more
openaire +2 more sources
Accelerated entropy estimates with accelerated dynamics
The Journal of Chemical Physics, 2007Accelerated dynamics is applied to entropy calculations on a set of toy and molecular systems and is found to enhance the rate of convergence.
David D L, Minh +2 more
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International Journal of Radiation Oncology*Biology*Physics, 2005
Minesh, Mehta, Jack, Fowler
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Minesh, Mehta, Jack, Fowler
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ELECTROPHORESIS, 2007
AbstractSemiquantitative prediction of the Uppsalator (electroosmotical oscillator developed in Uppsala) under constant voltage is confirmed via numerical solution of exact nonlinear integro‐differential equations in partial derivatives (PDE). Critical voltage and characteristic features of pressure and liquid flow velocity as functions of time are ...
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AbstractSemiquantitative prediction of the Uppsalator (electroosmotical oscillator developed in Uppsala) under constant voltage is confirmed via numerical solution of exact nonlinear integro‐differential equations in partial derivatives (PDE). Critical voltage and characteristic features of pressure and liquid flow velocity as functions of time are ...
openaire +2 more sources
Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications
International Conference for High Performance Computing, Networking, Storage and Analysis, 2017Guanpeng Li +6 more
semanticscholar +1 more source
Physics of laser-driven plasma-based electron accelerators
, 2009E. Esarey, C. Schroeder, W. Leemans
semanticscholar +1 more source
Memristor-based hardware accelerators for artificial intelligence
Nature Reviews Electrical EngineeringYi Huang +5 more
semanticscholar +1 more source

