Abstract—The rapidly growing number of large net- work analysis problems has led to the emergence of many parallel and distributed graph processing.

We examine previously overlooked aspects of parallel graph processing performance such as phases of execution and energy usage for three algorithms: breadth ...

May 17, 2017 · We examine previ- ously overlooked aspects of parallel graph processing performance such as phases of execution and energy usage for three ...

PDF | On Sep 1, 2017, Samuel D. Pollard and others published A Comparison of Parallel Graph Processing Implementations | Find, read and cite all the ...

We present an approach and associated software for analyzing the performance and scalability of parallel, open-source graph libraries. We demonstrate our ...

Samuel D. Pollard, Boyana Norris : A Comparison of Parallel Graph Processing Implementations. CLUSTER 2017: 657-658. manage site settings.

Sep 11, 2024 · We examine previously overlooked aspects of parallel graph processing performance such as phases of execution and energy usage for three ...

Unlike libraries, parallel graph frameworks offer a programming model (Section 5) where things like paral- lelism, consistency, synchronization, load balancing, ...

This thesis examines three commonly used pathfinding algorithms – Dijkstra, Bellman-Ford, and Floyd-Warshall – and seeks to illustrate their strengths and ...

parallel graph processing implementations (PGPI). We make a fair comparison by ensuring graphs, stopping criterion, and runtime configurations are uniform ...