BFS

Large Scale Graph Analytics

*degree-aware* hardware/software techniques to improve graph processing efficiency.

Accelerating Graph Analytics By Co-Optimizing Storage and Access on an FPGA-HMC Platform

Graph analytics, which explores the relationships among interconnected entities, is becoming increasingly important due to its broad applicability, from machine learning to social sciences. However, due to the irregular data access patterns in graph …

Degree-aware Hybrid Graph Traversal on FPGA-HMC Platform

Graph traversal is a core primitive for graph analytics and a basis for many higher-level graph analysis methods. However, irregularities in the structure of scale-free graphs (e.g., social network) limit our ability to analyze these important and …

Accelerating Large-Scale Graph Analytics with FPGA and HMC (Poster)

Acceptance rate: underline25%, 32 out of 128