Programmable CUDA/C++ GPU Graph Analytics
-
Updated
Apr 21, 2024 - C++
Programmable CUDA/C++ GPU Graph Analytics
A computation-centric distributed graph processing system.
Out-of-core graph processing on a single machine.
The Refreshingly Simple Cross-Platform C++ Dataflow / Patching / Pipelining / Graph Processing / Stream Processing / Reactive Programming Framework
GraphMat graph analytics framework
HLS-based Graph Processing Framework on FPGAs
Software implementation of semantic network storage and processing
Cross-Platform Graphical Tool for DSPatch
An efficient concurrent graph processing system
DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.
DSPatch Component Repository
A parallel packed CSR data structure for large-scale dynamic graphs
Personalized PageRank (PPR) on GraphLab PowerGraph
Software implementation of semantic network program interpreter
A graph linear algebra overlay
Spatial Graph Extractor. Library and scripts to study graphs extracted from binary images, or to generate graphs and analyze them completely in-silico. Used at least in biopolymers simulations and vascular networks.
🌌 Flexible graph construction and data pre-processing engine
MaiterStore is a basic storage based on key-value table graph processing system.
Add a description, image, and links to the graph-processing topic page so that developers can more easily learn about it.
To associate your repository with the graph-processing topic, visit your repo's landing page and select "manage topics."