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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aichip_paper_list

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

archbase

教科书《计算机体系结构基础》（胡伟武等，第三版）的开源版本

atomic-memory-trace

PIN-tool to produce multi-threaded atomic memory traces

awesome-deep-gnn

Papers about developing deep Graph Neural Networks (GNNs)

awesome-gnn-systems

A list of awesome GNN systems.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

bank_mapper

Utility to find physical address to DRAM mapping on CPU/GPU

benchmarking-gnns

Repository for benchmarking graph neural networks

bwtree

An open sourced implementation of Bw-Tree in SQL Server Hekaton

cacheus

cagnet

camuy

Fast evaluation of CNNs on configurable systolic arrays based on abstract metrics

champsim-micro19

ChampSim repository

chdl

A C++ Hardware Description Language and Toolchain

chickadee

chip-knn

[FPT'20] CHIP-KNN: Configurable and HIgh-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs

cifar-zoo

PyTorch implementation of CNNs for CIFAR benchmark

clrdram

Circuit-level model for the Capacity-Latency Reconfigurable DRAM (CLR-DRAM) architecture. This repository contains the SPICE models of the CLR-DRAM architecture and the baseline architecture used in our ISCA 2020 paper "Luo et al., CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off": https://people.inf.ethz.ch/omutlu/pub/CLR-DRAM_capacity-latency-reconfigurable-DRAM_isca20.pdf

compilerbook-examples

Example code for compilers textbook.

cscd70

CSCD70 Compiler Optimization

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepergnn

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

deepwalk-c

DeepWalk implementation in C++

degree-quant

ICLR 2021

dgn

Pytorch implementation of differentiable group normalization (NeurIPS 2020)

dig

A library for graph deep learning research