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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

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.

galois

Galois: C++ library for multi-core and multi-node parallelization

graph-tensor

graphx

GraphX development repository (which will eventually be merged into Apache Spark)

hornet

Hornet data structure for sparse dynamic graphs and matrices

l_svd_for_video_synthesis

pagerank

Page Rank for Evolving graphs using an incremental algorithm

powergraph

PowerGraph: A framework for large-scale machine learning and graph computation.

pygsp_tutorial_graphsip

Graph signal processing tutorial, presented at the GraphSiP summer school.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

readme

README文件语法解读，即Github Flavored Markdown语法介绍

sep-graph

This is the repo of "SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU"

spark

Mirror of Apache Spark

spark-distributed-louvain-modularity

Spark / graphX implementation of the distributed louvain modularity algorithm

tamp

torch-cudnn

Torch-7 FFI bindings for NVIDIA CuDNN

x-stream

Edge-centric Graph Processing System using Streaming Partitions