1 citations · 1 across the 9 of their papers we have counts for
4 papers · 1 filter
Anonymized Network Sensing using C++26 std::execution on GPUs
Michael Mandulak, Sayan Ghosh, S M Ferdous +2
Large-scale network sensing plays a vital role in network traffic analysis and characterization. As network packet data grows increasingly large, parallel methods have become mains…
Parallel Graph Coloring Algorithms for Distributed GPU Environments
Ian Bogle, Erik G Boman, Karen D Devine +2
Graph coloring is often used in parallelizing scientific computations that run in distributed and multi-GPU environments; it identifies sets of independent data that can be updated…
Distributed Graph Layout for Scalable Small-world Network Analysis
George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri
The in-memory graph layout or organization has a considerable impact on the time and energy efficiency of distributed memory graph computations. It affects memory locality, inter-t…
Partitioning Trillion-edge Graphs in Minutes
George M Slota, Sivasankaran Rajamanickam, Karen Devine +1
We introduce XtraPuLP, a new distributed-memory graph partitioner designed to process trillion-edge graphs. XtraPuLP is based on the scalable label propagation community detection…