Pinned Repositories
android_vendor_qcom_opensource_camera-kernel
BeiJIngBusStation
爬取北京市公交车站点经纬度
code-samples
Source code examples from the Parallel Forall Blog
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
CUDA-CNN
Implementation of a simple CNN using CUDA
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
CUDA_Samples
cudnn-samples
CuSha
CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.
Falcon-A-Graph-Manipulation-Language-for-Heterogeneous-Systems
A graph manipulation language for CPU and GPU
wkan-shu's Repositories
wkan-shu/android_vendor_qcom_opensource_camera-kernel
wkan-shu/BeiJIngBusStation
爬取北京市公交车站点经纬度
wkan-shu/code-samples
Source code examples from the Parallel Forall Blog
wkan-shu/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
wkan-shu/CUDA-CNN
Implementation of a simple CNN using CUDA
wkan-shu/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
wkan-shu/CUDA_Samples
wkan-shu/cudnn-samples
wkan-shu/CuSha
CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.
wkan-shu/Falcon-A-Graph-Manipulation-Language-for-Heterogeneous-Systems
A graph manipulation language for CPU and GPU
wkan-shu/Frog
Frog is Asynchronous Graph Processing on GPU with Hybrid Coloring Model. The fundamental idea is based on Pareto principle (or 80-20 rule) about coloring algorithms as we observed through masses of real graph coloring cases.
wkan-shu/Galois
Galois: C++ library for multi-core and multi-node parallelization
wkan-shu/Graph-tensor
wkan-shu/graphx
GraphX development repository (which will eventually be merged into Apache Spark)
wkan-shu/hornet
Hornet data structure for sparse dynamic graphs and matrices
wkan-shu/L_SVD_for_Video_Synthesis
wkan-shu/pagerank
Page Rank for Evolving graphs using an incremental algorithm
wkan-shu/PowerGraph
PowerGraph: A framework for large-scale machine learning and graph computation.
wkan-shu/pygsp_tutorial_graphsip
Graph signal processing tutorial, presented at the GraphSiP summer school.
wkan-shu/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
wkan-shu/README
README文件语法解读,即Github Flavored Markdown语法介绍
wkan-shu/sep-graph
This is the repo of "SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU"
wkan-shu/spark
Mirror of Apache Spark
wkan-shu/spark-distributed-louvain-modularity
Spark / graphX implementation of the distributed louvain modularity algorithm
wkan-shu/Tamp
wkan-shu/torch-cudnn
Torch-7 FFI bindings for NVIDIA CuDNN
wkan-shu/x-stream
Edge-centric Graph Processing System using Streaming Partitions