Beyond gaming, GPU technology takes on graphs, machine learning

Graphics l processing units are familiar to dedicated gamers and supercomputer programmers, but these specialized chips may find use in big data science applications. Recent developments in NoSQL databases and machine learning services point the way.The potential of GPU technology to handle large data sets with complex dependencies led  Blazegraph to build Blazegraph GPU, a NoSQL-oriented graph database running on NVIDIA general-purpose GPUs. That follows on the heels of Google’s endorsement of GPUs for work with its TensorFlow machine learning engine. Blazegraph, formerly known as Systap, estimated that throughput for the software running on a cluster of 64 NVIDIA K40 GPUs equals 32 billion traversed edges per second — edges represent the connections between graph nodes. Graph databases have been used to map relationships in applications ranging from social media…


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