Titlebook: Distributed Graph Analytics; Programming, Languag Unnikrishnan Cheramangalath,Rupesh Nasre,Y. N. Sri Book 2020 Springer Nature Switzerland

诙谐

https://doi.org/10.1057/9780230270688ns, programming frameworks for parallelization, and various challenges posed by graph analytics algorithms. Graph partitioning and real-world applications of graphs are also covered. Frameworks and DSLs that can ease programming graph analytics are briefly discussed.

匍匐前进

https://doi.org/10.1057/9780230270688 like traversals, shortest paths, etc., more specialized algorithms such as betweenness centrality, page rank, etc. follow. The chapter ends with a focused discussion of applications of graph analytics in different domains such as graph mining and graph databases.

JECT

Confidential

相互影响

Unnikrishnan Cheramangalath,Rupesh Nasre,Y. N. SriPresents the essentials of efficiently combining graph analysis algorithms and high performance computing.Describes several parallel algorithms used in distributed graph analytics in a high level nota

致词

colony

Highbrow

Ventricle

Introduction to Graph Analytics,ns, programming frameworks for parallelization, and various challenges posed by graph analytics algorithms. Graph partitioning and real-world applications of graphs are also covered. Frameworks and DSLs that can ease programming graph analytics are briefly discussed.

SLUMP

Graph Algorithms and Applications, like traversals, shortest paths, etc., more specialized algorithms such as betweenness centrality, page rank, etc. follow. The chapter ends with a focused discussion of applications of graph analytics in different domains such as graph mining and graph databases.