This paper presents a scalable high-performance software library to be used for graph
analysis and data mining. Large combinatorial graphs appear in many applications of high …

Processing large graphs is becoming increasingly important for many domains such as
social networks, bioinformatics, etc. Unfortunately, many algorithms and implementations do …

Graphs and networks are used to model interactions in a variety of contexts. There is a
growing need to quickly assess the characteristics of a graph in order to understand its …

A fast and scalable graph processing method becomes increasingly important as graphs
become popular in a wide range of applications and their sizes are growing rapidly. Most of …

Grappa is a runtime system for commodity clusters of multicore computers that presents a
massively parallel, single address space abstraction to applications. Grappa's purpose is to …

As the core density of future processors keeps increasing, MPI+ Threads is becoming a
promising programming model for large scale SMP clusters. Generally speaking, hybrid …

Information systems adoption by small businesses often is viewed as a basic building block
of economic development. Yet, the components that impact business success and thus …

This paper quantifies the impact of branches and branch mispredictions on the single-core
performance of certain graph problems, specifically for computing connected components …

Clustering coefficients is a building block in network sciences that offers insights on how
tightly bound vertices are in a network. Effective and scalable parallelization of clustering …

Highly Productive Computing Systems (HPCS) and PGAS languages are considered as
important ways in achieving the exascale computational capabilities. Most of the current …