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Radio Free HPC Looks at Big News in Graph Computing

In this podcast, the Radio Free HPC team looks at why the Alan Turing Institute is focusing on Graph Computing with their acquisition of a Cray Urika-GX supercomputer. After that, they cover a series of IT developments that go to Infinity and Beyond.

Extreme-scale Graph Analysis on Blue Waters

George Slota presented this talk at the Blue Waters Symposium. “In recent years, many graph processing frameworks have been introduced with the goal to simplify analysis of real-world graphs on commodity hardware. However, these popular frameworks lack scalability to modern massive-scale datasets. This work introduces a methodology for graph processing on distributed HPC systems that is simple to implement, generalizable to broad classes of graph algorithms, and scales to systems with hundreds of thousands of cores and graphs of billions of vertices and trillions of edges.”

Video: Blazegraph Accelerates Graph Computing with GPUs

“Analytics applied over complex, many-to-many data relationships hit the ‘Graph Cache Thrash’ bottleneck and grind to a halt, failing to deliver good performance or to operate at scale,” said Brad Bebee, SYSTAP CEO. “GPU hardware provides a compelling performance increase for data-intensive, predictive analytic applications. With Blazegraph and our new GPU products, users can harness the computing power comparable to what was only available from supercomputers, such as a Cray, at a fraction of the cost.”

Radio Free HPC Previews Tutorials at SC15

In this podcast, the Radio Free HPC team previews three of the excellent Tutorial sessions coming up at SC15. “The SC tutorials program is one of the highlights of the SC Conference series, and it is one of the largest tutorial programs at any computing-related conference in the world. It offers attendees the chance to learn from and to interact with leading experts in the most popular areas of high performance computing (HPC), networking, and storage.”