Pinned Repositories
AICircuit
The implementation of AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design
APOLLO
APOLLO: SGD-like Memory, AdamW-level Performance
Butterfly_Acc
The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Coursera_ML_Exercise
吴恩达机器学习公开课作业中文版本以及Python实现
ELight
Implementation of efficient and aging-resilient photonic in-memory neurocomputing engine, ASP-DAC 2022
Lightening-Transformer
[HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
Lightening-Transformer-AE
Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
Neural-Networks-on-Silicon
This is a collection of works on neural networks and neural accelerators.
PACE-Light
Neurips'24
zhuhanqing's Repositories
zhuhanqing/Lightening-Transformer
[HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
zhuhanqing/Lightening-Transformer-AE
Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
zhuhanqing/AICircuit
The implementation of AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design
zhuhanqing/Butterfly_Acc
The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"
zhuhanqing/PACE-Light
Neurips'24
zhuhanqing/AnalogVNN
A fully modular framework for modeling and optimizing analog neural networks
zhuhanqing/DCNO-ICLR2024
This is the code for DCNO(Dilated convolution neural operator for multiscale partial differential equations)
zhuhanqing/CATS
zhuhanqing/deit
Official DeiT repository
zhuhanqing/DNN-Chip-Predictor
[ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
zhuhanqing/DREAMPlace
Deep learning toolkit-enabled VLSI placement
zhuhanqing/Fira
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
zhuhanqing/lectures
Material for cuda-mode lectures
zhuhanqing/LeViT
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
zhuhanqing/llm-awq
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
zhuhanqing/LLM-for-Photonics
Leveraging LLMs to design and optimize nanophotonics
zhuhanqing/maestro
An analytical cost model evaluating DNN mappings (dataflows and tiling).
zhuhanqing/MCBench
zhuhanqing/MicroAdam
This repository contains code for the MicroAdam paper.
zhuhanqing/mini-s
zhuhanqing/NeurOLight
A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022
zhuhanqing/pytorch-fgvc-dataset
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
zhuhanqing/pytorch-onn
A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing
zhuhanqing/Q-GaLore
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
zhuhanqing/Q-ViT
The official implementation of the NeurIPS 2022 paper Q-ViT.
zhuhanqing/RobustQuantization
source code of the paper: Robust Quantization: One Model to Rule Them All
zhuhanqing/SCATTER
zhuhanqing/SpinQuant
Code repo for the paper "SpinQuant LLM quantization with learned rotations"
zhuhanqing/ViTCoD
[HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
zhuhanqing/zhuhanqing.github.io
My personal website