AlexMontgomerie/fpgaconvnet-tutorial

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Created almost 4 years ago
Updated 4 months ago

AlexMontgomerie/fpgaconvnet-tutorial

AlexMontgomerie

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A collection of tutorials for the fpgaConvNet framework.

samo

SAMO: Streaming Architecture Mapping Optimisation

fpgaconvnet-model

Performance and resource models for fpgaConvNet: a Streaming-Architecture-based CNN Accelerator.

fpgaconvnet-hls

4NEC2_helical_gen

source code to generate .nec files for helical wire antennas

fpgaconvnet-optimiser

Optimiser for mapping convolutional neural network models to FPGA platforms.

pommel

Analysing power consumption of the memory subsystem for machine learning applications

def

DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators

satay

huffman-chisel

A Chisel implementation of Huffman coding for a static code table

alexmontgomerie

rle-chisel

A Chisel implementation of single-value Run Length Encoding (RLE)

fpgaconvnet-website

The work done at the Intelligent Digital Systems Lab at Imperial College London aims to address this demand with fpgaConvNet: a toolflow for designing Convolutional Neural Network (CNN) accelerators for FPGAs with state-of-the-art performance and efficiency.

memory_io_unit

SMORE

Silent Mapping Order Randomisation Engine

EmbeddedSystems-EIE3

Embedded systems course at Imperial College London 2018

DSD_v2

zedboard_mem_testing

ML

Jupyter Notebook

braille_boys