Live Demonstration: FPGA-Based CNN Accelerator with Filter-Wise-Optimized Bit Precision.

AllImages Shopping Videos Maps News Books

FPGA-Based CNN Accelerator with Filter-Wise-Optimized Bit Precision

In the demonstration, we present image classification experiments on an FPGA where the proposed architecture is implemented with less execution time than the ...

FPGA-Based CNN Accelerator with Filter-Wise-Optimized Bit Precision

www.researchgate.net › publication › 33...

In this case, the weights are quantized with variable bit precision depending on layers, thus reducing the number of computations.

FPGA-based CNN Processor with Filter-Wise-Optimized Bit Precision

www.semanticscholar.org › paper › FPG...

This work proposes filter-wise optimized quantization with variable precision and the hardware architecture that fully supports it and implements the proposed ...

FPGA-based CNN Accelerator with Filter-Wise-Optimized Bit Precision

ieeexplore.ieee.org › iel7

In the demonstration, we present image classification experiments on an FPGA where the proposed architecture is implemented with less execution time than the.

FPGA-based CNN Processor with Filter-Wise-Optimized Bit Precision

colab.ws › articles › ASSCC.2018.8579342

FPGA-based CNN Processor with Filter-Wise-Optimized Bit Precision ; UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable ...

Live Demonstration: FPGA-Based CNN Accelerator with Filter-Wise ...

cir.nii.ac.jp › crid

実験的サービス公開サイトであるCiNii Labsを公開しました。 Live Demonstration: FPGA-Based CNN Accelerator with Filter-Wise-Optimized Bit Precision.

Optimizing Accelerator on FPGA for Deep Convolutional Neural Networks

www.researchgate.net › ... › FPGA

In this paper, we present a way to greatly improve the read efficiency of the accelerated hardware by reconstructing the original digital set and using the ...

Missing: Demonstration: | Show results with:Demonstration:

[PDF] Optimization of FPGA-based CNN Accelerators Using Metaheuristics

arxiv.org › pdf

Sep 22, 2022 · The proposed strategy is based on three major aspects; loop parallelization to utilize resources, fixed-point data optimization to find the ...

Missing: Live | Show results with:Live

An Efficient CNN Accelerator for Low-Cost Edge Systems

dl.acm.org › doi

In this paper, we first analyze ConvNet models to find one that is most suitable for a low-cost FPGA implementation.

Missing: Live | Show results with:Live

FPGA-Based Inter-layer Pipelined Accelerators for Filter-Wise Weight ...

link.springer.com › article

Feb 13, 2021 · The 8-bit quantization reduced the weight size by a factor of four with no accuracy drop from the float 32-bit precision. Compared with the 8- ...

Missing: Live Demonstration: