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  • 👋 Hi, I’m Chris and a second-year-PhD student.
  • 👀 I’m interested in Graph Computing(System or HPC on GPU)
  • 🌱 I’m currently learning Graph Sampling

ChrisZhao's Projects

accelerating-tc icon accelerating-tc

Source code of "Accelerating triangle counting on GPU", accepted by SIGMOD'21 - By Lin Hu, Prof. Lei Zou, Yu Liu

adds icon adds

A Fast Work-Efficient GPU Algorithm for SSSP

codesamples icon codesamples

Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"

coffee-break icon coffee-break

Here is a cup of coffee. How about taking a break? Have a little chat.

corescope icon corescope

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)

cpp icon cpp

Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.

cs344 icon cs344

Introduction to Parallel Programming class code

ctgcn icon ctgcn

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

cub icon cub

Cooperative primitives for CUDA C++.

cuda-by-example icon cuda-by-example

Source code contained in CUDA By Example: An Introduction to General Purpose GPU Programming

cuda-samples icon cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cugraph icon cugraph

cuGraph - RAPIDS Graph Analytics Library

cusha icon cusha

CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.

dynamicgpuhashtableieee icon dynamicgpuhashtableieee

Implementation of dynamic hash table as described in "A Dynamic Hash Table for the GPU" by Saman Ashkiani, Martin Farach-Colton, and John D. Owens from 2018 IEEE International Parallel and Distributed Processing Symposium.

dynamicppr icon dynamicppr

The implementation of the paper "Parallel Personalized PageRank on Dynamic Graphs"

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