Top 500 Big Data Computers Ranked
Simultaneously with the release of the Top 500 list of the world's fastest supercomputers, and the release of the Green 500 list of the most efficient supercomputers, the ranking the best performing data crunching computers was released.
Rather than focusing on floating point performance, the Graph 500 benchmarks supercomputers in kernel disciplines of concurrent search, optimization (single source shortest path), and edge-orientation (maximal independent set).
Lawrence Livermore National Laboratory's Sequoia supercomputer, which is listed second in the Top 500, came out on top in the Graph 500 with a result of 15,363 GTEPS (billion edges traversed per second). Sequoia was nearly 50 percent faster that Argonne National Laboratory's Mira with 10,461 GTEPS, and almost three times faster than Forschungszentrum Juelich's JUQUEEN, which posted 5,848 GTEPS.
The ranking should be taken with a grain of salt, since not all of the world's supercomputers in the Top 500 list are listed in the Graph 500 as well, which makes a direct comparison rather difficult. However, Sequoia is exactly 100 percent faster that Mira in the Top 500 list, but only 46 percent faster in the Graph 500 benchmark.
The Graph 500 team said it is optimizing its benchmarks and will be addressing the graph-related business areas of cybersecurity, medical informatics, data enrichment, social networks, and symbolic networks.
Wolfgang GruenerWolfgang Gruener is a contributor to Tom's IT Pro. He is currently principal analyst at Ndicio Research, a market analysis firm that focuses on cloud computing and disruptive technologies, and maintains the conceivablytech.com blog. An 18-year veteran in IT journalism and market research, he previously published TG Daily and was managing editor of Tom's Hardware news, which he grew from a link collection in the early 2000s into one of the most comprehensive and trusted technology news sources.
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