The world is becoming a more conjunct place and the number of data sources such as
social networks, online transactions, web search engines, and mobile devices is increasing …

The moment when the hyperconnectedness of our world became most evident to me was on
October 20th, 2011, when images of the death of Colonel Muammar el-Qaddafi, the former …

Breadth‐First Search is an important kernel used by many graph‐processing applications. In
many of these emerging applications of BFS, such as analyzing social networks, the input …

Vertex-centric graph processing is employed by many popular algorithms (eg, PageRank)
due to its simplicity and efficient use of asynchronous parallelism. The high compute power …

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 …

Graphs are powerful data representations favored in many computational domains. Modern
GPUs have recently shown promising results in accelerating computationally challenging …

The increasing importance of graph-data based applications is fueling the need for highly
efficient and parallel implementations of graph analysis software. In this paper we describe …

Graphs are common data structures for many applications, and efficient graph processing is
a must for application performance. Recently, the graphics processing unit (GPU) has been …

Graphs are a fundamental data representation that has been used extensively in various
domains. In graph-based applications, a systematic exploration of the graph such as a …

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