Bangalore: Super speed- that is what a supercomputer is all about. Supercomputers simply can be defined as systems that perform at the current highest possible rate in the computation platform. But when we think of such a massive computing power in the enterprise business, there is a major merging factor that reduces the space between both the platforms, and that is big data or data sets.

So with that here are 10 qualified lessons for enterprises from supercomputing.

#1 Tackling data analytics at the petabyte scale:

Data archives at a petabyte scale are not uncommon any more. At present, enterprises already has stated that as each year passes by, the amount of data that they are archiving is doubling. This increases the complexity in handling such huge amounts of data as currently there is a crisis in the infrastructure availability. So what enterprises must learn to tackle on how to tackle these predicaments so that they get good results.

#2 Accelerating MapReduce with GPU and CPU:

Enterprise trends are continuously changing and are changing fast. New techniques such as integration of CPU and the GPU on the same chip are emerging and have proved that they hold a lot of promise in the enterprise space. This is what IT administrators and leads should take notice of as there is a huge rise in new enterprise areas where these techniques can be successfully implemented.

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