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Department of Computer Science and Technology

Hardware Graph Prefetchers

3 June 2016

This week sees the publication of two papers from my research group at ICS 2016 and so, in this post, I’d like to look a little more into one of these schemes: the graph prefetcher that my student, Sam, has developed.

Graph workloads are important in a number of domains, and becoming increasingly so. You only have to look at the numerous social media applications to see examples of graph-based data (e.g. in a network of people, each person is a vertex and the edges represent links to friends). But graph representations are also significant in less publicly-visible application areas, such as those in scientific computing or “big data” analytics. However, efficient processing of graph workloads is often...

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