Pinned Repositories
atomic-memory-trace
PIN-tool to produce multi-threaded atomic memory traces
Bingo
The source code of "Bingo Spatial Data Prefetcher" paper, which is accepted in HPCA 2019.
bolt
10x faster matrix and vector operations
C-MemMAP
C-MemMAP: Clustering-driven Compact, Adaptable, and Generalizable Meta-LSTM Models for Memory Access Prediction
ChampSim
x86 simulator written by Texas A&M University. I contributed about 1.6K lines of code to implement the STeMS and BB prefetcher simulation modules for my research at UT Austin. You can find my work in the repository under prefetcher/stems and prefetcher/bb
FPGA-LSTM-Intel
GNN_MAP
GNN for Memory Access Prediction
MAP_AMM
Memory access prediction using table approximate matrix multiplication
TransFetch
TransFetch
pengmiao-usc's Repositories
pengmiao-usc/FPGA-LSTM-Intel
pengmiao-usc/ChampSim
x86 simulator written by Texas A&M University. I contributed about 1.6K lines of code to implement the STeMS and BB prefetcher simulation modules for my research at UT Austin. You can find my work in the repository under prefetcher/stems and prefetcher/bb
pengmiao-usc/atomic-memory-trace
PIN-tool to produce multi-threaded atomic memory traces
pengmiao-usc/Bingo
The source code of "Bingo Spatial Data Prefetcher" paper, which is accepted in HPCA 2019.
pengmiao-usc/C-machine-learning
C语言手撕机器学习/深度学习算法
pengmiao-usc/ChampSim_miss_trace_generate
ChampSim_miss_trace_generate
pengmiao-usc/CPP-Call-Tensorflow
Calling (TensorFlow) Python Program from C++
pengmiao-usc/EE-599_PengmiaoZhang_7865959675
Assignments for EE599 Sp2020
pengmiao-usc/FPGA-Based-RNN-Accelerator-Using-Vivado-HLS
This is the first step to implement RNN on FPGAs. All modules are heavily commented. We will use High-Level Synthesis to turn these code into Hardware Description Languages (HDL).
pengmiao-usc/iperf3_plotter
Shell script that plots Iperf3's JSON file
pengmiao-usc/learn2learn
PyTorch Meta-learning Library for Researchers
pengmiao-usc/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
pengmiao-usc/MemMAP
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction
pengmiao-usc/Meta_LSTM
The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
pengmiao-usc/mnistGNN
MNIST classification by using GCN
pengmiao-usc/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
pengmiao-usc/pcpm
partition-centric GAS based pagerank computation
pengmiao-usc/PowerGraph
Fix cmakelist.txt package download timeout
pengmiao-usc/pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
pengmiao-usc/rnn-fpga
implementing a Recurrent Neural Network with binarized weight format on FPGA
pengmiao-usc/RNN-ON-FPGA
pengmiao-usc/timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
pengmiao-usc/TT_RNN