tony-liu1996's Stars
sharc-lab/gnn-builder
An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
IBM/AccDNN
A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.
Zhaoshixin-sky/CIM-MLC
[ASPLOS 2024] CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
YunTing-k/CiM-eDRAM
A computing in memory project based on Python, which includes training, quantization, hardware implementation performance estimation.
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
lh3/gwfa
Proof-of-concept implementation of GWFA for sequence-to-graph alignment
snipersim/snipersim
The Sniper Multi-Core Simulator
fengbintu/Neural-Networks-on-Silicon
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.
neurosim/DNN_NeuroSim_V1.4
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
KULeuven-MICAS/zigzag-imc
HW accelerator mapping optimization framework for in-memory computing