pengmiao-usc Goto Github PK

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-machine-learning

C语言手撕机器学习/深度学习算法

c-memmap

C-MemMAP: Clustering-driven Compact, Adaptable, and Generalizable Meta-LSTM Models for Memory Access Prediction

cacheline-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

champsim-1

ChampSim repository

champsim_miss_trace_generate

ChampSim_miss_trace_generate

cpp-call-tensorflow

Calling (TensorFlow) Python Program from C++

ee-599_pengmiaozhang_7865959675

Assignments for EE599 Sp2020

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).

fpga-lstm-intel

gnn-mnist-classification

Image classification using Graph Neural Networks (GNNs) with MNIST dataset

gnn_map

GNN for Memory Access Prediction

gpop

GPOP: A scalable cache- and memory-efficient framework for Graph Processing Over Partitions

graphvision

Evaluating the feasibility of GNN algorithms with Image Classification.

halutmatmul

Hashed Lookup Table based Matrix Multiplication (halutmatmul) built on MADDness/bolt

iperf3_plotter

Shell script that plots Iperf3's JSON file

itlumm

learn2learn

PyTorch Meta-learning Library for Researchers

leetcode

推荐刷题网站：https://www.lintcode.com/?utm_source=tf-github-lucifer2022 LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

map_amm

Memory access prediction using table approximate matrix multiplication

me_vit_plotting

memmap

MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction

meta_lstm

The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18

mnistgnn

MNIST classification by using GCN

mpgraph

MPGraph2023