Translational Data Analytics (TDA) Lab @GaTech
This is the Github page of the Translational Data Analytics (TDA) Lab of Dr. Çatalyürek in the School of Computational Science and Engineering at GaTech.
Pinned Repositories
bbTC
A blocked-based Triangle Counting algorithm
BOA
A graph/hypergraph partitioning based method to improve assembly quality and runtime
CSeg
Column-Segmented Sparse Matrix-Matrix Multiplication on Multicore CPUs
dagP
Multilevel Directed Acyclic Graph Partitioner
dgl-coop
Cooperative Minibatching in Graph Neural Networks
ElGA
Elastic and Dynamic Scalable Graph Analysis
GT-TDAlab.github.io
MG-GCN
MG-GCN: Scalable Multi-GPU GCN Training Framework
PIGO
Parallel Graph Input Output
SARMA
SARMA: Spatial RactilineaR Matrix pArtitioning
Translational Data Analytics (TDA) Lab @GaTech's Repositories
GT-TDAlab/dagP
Multilevel Directed Acyclic Graph Partitioner
GT-TDAlab/PIGO
Parallel Graph Input Output
GT-TDAlab/SARMA
SARMA: Spatial RactilineaR Matrix pArtitioning
GT-TDAlab/ElGA
Elastic and Dynamic Scalable Graph Analysis
GT-TDAlab/MG-GCN
MG-GCN: Scalable Multi-GPU GCN Training Framework
GT-TDAlab/bbTC
A blocked-based Triangle Counting algorithm
GT-TDAlab/CSeg
Column-Segmented Sparse Matrix-Matrix Multiplication on Multicore CPUs
GT-TDAlab/BOA
A graph/hypergraph partitioning based method to improve assembly quality and runtime
GT-TDAlab/dgl-coop
Cooperative Minibatching in Graph Neural Networks
GT-TDAlab/GT-TDAlab.github.io