Azinta Systems Blog

October 16, 2010

Scaling-up GPUs for "Big Data" Analytics – MapReduce and Fat Nodes

Filed under: GPU, GPU Analytics, LinkedIn, MapReduce — Tags: , , , — Suleiman Shehu @ 16:36

Over the last two years large clusters comprising 1,000s of commodity CPUs, running Hadoop MapReduce, have powered the analytical processing of “Big data” involving hundreds of terabytes of information.

Now a new generation of CUDA GPUs based on the Fermi (see figure 1) and the Kepler (Kepler is due in 2011) have created the potential for a new disruptive technology for “Big data” analytics based on the use of much smaller hybrid CPU-GPU clusters.


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