2015
BD-CATS: big data clustering at trillion particle scale. 6:1-6:12
Performance optimization for the k-nearest neighbors kernel on x86 architectures. 7:1-7:12
A parallel connectivity algorithm for de Bruijn graphs in metagenomic applications.
Exploring network optimizations for large-scale graph analytics
GossipMap: a distributed community detection algorithm for billion-edge directed graphs
GraphReduce: processing large-scale graphs on accelerator-based systems
Data partitioning strategies for graph workloads on heterogeneous clusters
Scaling iterative graph computations with GraphMap
PGX.D: a fast distributed graph processing engine
A work-efficient algorithm for parallel unordered depth-first search
Enterprise: breadth-first graph traversal on GPUs
GraphBIG: understanding graph computing in the context of industrial solutions
2014
Fast Iterative Graph Computation: A Path Centric ApproachParallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex DelegatesPardicle: Parallel Approximate Density-Based ClusteringScalable and High Performance Betweenness Centrality on the GPU
Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications
2013
Efficient data partitioning model for heterogeneous graphs in the cloud
Scalable parallel OPTICS data clustering using graph algorithmic techniques
Scalable matrix computations on large scale-free graphs using 2D graph partitioning
Scalable parallel graph partitioning.
On fast parallel detection of strongly connected components (SCC) in small-world graphs
2012
Direction-optimizing breadth-first search
Breaking the speed and scalability barriers for graph exploration on distributed-memory machines.
Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing
A new scalable parallel DBSCAN algorithm using the disjoint-set data structure
Parallel Bayesian network structure learning with application to gene networks
A multithreaded algorithm for network alignment via approximate matching.
NUMA-aware graph mining techniques for performance and energy efficiency
BD-CATS: big data clustering at trillion particle scale. 6:1-6:12
Performance optimization for the k-nearest neighbors kernel on x86 architectures. 7:1-7:12
A parallel connectivity algorithm for de Bruijn graphs in metagenomic applications.
Exploring network optimizations for large-scale graph analytics
GossipMap: a distributed community detection algorithm for billion-edge directed graphs
GraphReduce: processing large-scale graphs on accelerator-based systems
Data partitioning strategies for graph workloads on heterogeneous clusters
Scaling iterative graph computations with GraphMap
PGX.D: a fast distributed graph processing engine
A work-efficient algorithm for parallel unordered depth-first search
Enterprise: breadth-first graph traversal on GPUs
GraphBIG: understanding graph computing in the context of industrial solutions
2014
Fast Iterative Graph Computation: A Path Centric ApproachParallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex DelegatesPardicle: Parallel Approximate Density-Based ClusteringScalable and High Performance Betweenness Centrality on the GPU
Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications
2013
Efficient data partitioning model for heterogeneous graphs in the cloud
Scalable parallel OPTICS data clustering using graph algorithmic techniques
Scalable matrix computations on large scale-free graphs using 2D graph partitioning
Scalable parallel graph partitioning.
On fast parallel detection of strongly connected components (SCC) in small-world graphs
2012
Direction-optimizing breadth-first search
Breaking the speed and scalability barriers for graph exploration on distributed-memory machines.
Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing
A new scalable parallel DBSCAN algorithm using the disjoint-set data structure
Parallel Bayesian network structure learning with application to gene networks
A multithreaded algorithm for network alignment via approximate matching.
NUMA-aware graph mining techniques for performance and energy efficiency
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