huangjunying Goto Github PK
Type: User
Bio: Institute of Computing Technology, CAS
Type: User
Bio: Institute of Computing Technology, CAS
Approximate computing technique is very much useful for improving efficiency (approx double) and reducing energy consumption. We will be using different adders and multipliers for this purpose and comparing their energy consumption and accuracy. And we have implemented it on Field Programmable Gate Array (FPGA) and ZEDBoard.
A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.
Accelergy is an energy estimation infrastructure for accelerator energy estimations
A web-based demonstration of blockchain concepts.
HLS code for a BNN accelerator
Deep Learning Accelerator (Convolution Neural Networks)
A hardware implementation of CNN, written by Verilog and synthesized on FPGA
System Verilog code describing a fully combinational binarized neural network.
Various HDL (Verilog) IP Cores
Cryogenic Computer Modeling and Architecture Development
dabnn is an accelerated binary neural networks inference framework for mobile platform
DeBAM : Decoder Based Approximate multiplier for Low Power Applications
C implementation of Differential Fault Analysis on AES
Die2Sim is a tool used to aid simulations of large scale superconducting circuits. The main usage of the tool is to create JoSIM files from LEF/DEF files using an existing cell library.
Deep learning toolkit-enabled VLSI placement
Dataflow compiler for QNN inference on FPGAs
Repository for work on on Xilinx's matrix vector activation unit's RTL implementation. Documentation available at: https://asadalam.github.io/FINN_MatrixVector_RTL/
ASIC Design Kit for FreePDK45 + Nangate for use with mflowgen
C++ library to create and read GDSII file
An Open-Source Library for Training Binarized Neural Networks
MiTMoJCo (Microscopic Tunneling Model for Josephson Contacts) is C and Python code for simulating dynamics of superconducting Josephson junctions using Werthamer's microscopic tunneling theory
MLP written on cpp and trained on MNIST dataset.
Python Code and Dataset for different PUFs
Approximate Booth Multiplier
nextpnr portable FPGA place and route tool
OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.