Rapid Design Methods For Developing Hardware Accelerators

Rapid Design Methods For Developing Hardware Accelerators
Alternatives To Rapid Design Methods For Developing Hardware Accelerators
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Neural Networks On Silicon1,696
4 months ago
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Pipecnn916
2 years ago35apache-2.0C
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
Yolov2_xilinx_fpga624
6 months ago78mitC
A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard
Qkeras51423 months ago1July 07, 202138apache-2.0Python
QKeras: a quantization deep learning library for Tensorflow Keras
Zynqnet510
7 years ago38gpl-3.0HTML
Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"
Heterocl281
9 months ago98apache-2.0Python
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
Esp267
4 months ago34otherC
Embedded Scalable Platforms: Heterogeneous SoC architecture and IP integration made easy
Bnn Fpga218
3 years ago2bsd-3-clauseC
Binarized Convolutional Neural Networks on Software-Programmable FPGAs
Fletcher217
6 months ago19October 26, 202111apache-2.0VHDL
Fletcher: A framework to integrate FPGA accelerators with Apache Arrow
Accelerating Cnn With Fpga164
4 years ago1otherC++
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
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