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The rise of


Hadoop


Hadoop, an open source software project for distributed computing, is becoming synonymous with big data. Beth Harlen speaks to industry experts to find out why


Dr Sumit Gupta, GM of the Tesla Accelerated Computing Group at Nvidia


T


he use of faster, larger computers for everything from simulating natural phenomena to simulating every product


we make has become mainstream in the past decade. Today, supercomputers touch every aspect of our lives, from the weather forecast we check in the morning, to the development of the drugs we take, to the design of the cars we drive. Tis has dramatically increased the use of data- intensive computing, and affordability of these systems is key to their widespread deployment. GPU accelerators enable supercomputing for the masses by reducing the cost of supercomputing by 10 times compared to CPU-based systems. GPU accelerators are being widely adopted


34 SCIENTIFIC COMPUTING WORLD


by both the HPC industry and the big data community because they offer an affordable way to tackle the deluge of data. Te same soſtware methods, and the same hardware


TODAY


SUPERCOMPUTERS TOUCH EVERY ASPECT OF OUR LIVES


systems that were the purview of the HPC industry until a few years ago, are now being used for these everyday simulations and mobile cloud-based computing. Tis is being driven


in part by the growing availability of affordable, high-performance GPU accelerators that can be installed in smaller computing systems. Hadoop is a soſtware method for solving a compute problem by distributing it across hundreds or thousands of servers. If there is a database, it is also distributed across all the servers. GPU accelerators can be used in the servers running Hadoop to speed the processing of this work across distributed servers. Te only way to pull useful information from all this data is to have affordable and scalable computing infrastructures.


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