Exploiting Locality in Graph Analytics through Hardware-Accelerated Traversal Scheduling

Graph processing is increasingly bottlenecked by main memory accesses. On-chip caches are of little help because the irregular structure of graphs causes seemingly random memory references. However, most real-world graphs offer significant potential locality-it is just hard to predict ahead of time....

Full description

Bibliographic Details
Main Authors: Mukkara, Anurag (Author), Beckmann, Nathan (Author), Abeydeera, Maleen Hasanka (Author), Ma, Xiaosong (Author), Sanchez Martin, Daniel (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2020-03-24T18:50:57Z.
Subjects:
Online Access:Get fulltext