A heterogeneous approach to solving big data analytics graph problems
Sponsored Content by Convey Computer
Today’s commodity servers, as well as systems designed specifically for numerically intensive algorithms (“supercomputers”), are ill suited for many applications in the world of big data analytics. Such applications often use graph manipulation algorithms and data structures, and are best addressed by architectural extensions not found in commodity systems. Convey Computer Corporation’s hybrid-core system takes a heterogeneous approach to solving graph-type problems, and the resulting performance is characterized by results on the Graph500 Benchmark (www.graph500.org). Let’s take a look at architectural features that accelerate graph problems, and how Convey has implemented these features in its reconfigurable computing system.
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