IBM researchers from Watson and India labs’ high performance computing team optimized graph codes that won the Graph 500 benchmark competition. The IBM Blue Gene/P supercomputers won the #1 (Intrepid @ ANL) and #2 (Jugene @ Julich) positions at the competition. The team comprised Fabrizio Petrini, Fabio Checconi, Jeremiah Willcock, Anamitra Roy Choudhury, Anshul Mittal, Parul Gupta and Yogish Sabharwal.
Data intensive supercomputer applications are increasingly important for HPC workloads, but are ill-suited for platforms designed for 3D physics simulations. Current benchmarks and performance metrics do not provide useful information on the suitability of supercomputing systems for data intensive applications using graph algorithms that are a core part of many analytics workloads. Backed by a steering committee of over 30 international HPC experts from academia, industry, and national laboratories, Graph 500 establishes a set of large-scale benchmarks for these applications.