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High-Performance Computation based R&D in India is going to witness a new phase with the setting up of India’s first state-of-the-art 1.3 PetaFlop High-Performance Computing facility and datacenter ecosystem at IIT Kharagpur under the National Supercomputing Mission (NSM).

To give a perspective, the world’s most powerful supercomputer ‘Summit’, unveiled in June last year, has peak computing power of 200 petaFLOPS.

In computing, floating point operations per second (FLOPS, flops or flop/s) is a measure of computer performance, useful in fields of scientific computations that require floating-point calculations. For such cases it is a more accurate measure than measuring instructions per second.

IIT Kharagpur has signed an MoU with the Centre for Development of Advanced Computing (C-DAC), an autonomous Scientific Society of the Ministry of Electronics and Information Technology, Government of India on March 12, 2019 towards this effect.

The facility is expected to come up in the next 3-4 months with the work to be carried in three phases of -‘assembling, assembling and manufacturing and design and manufacturing,’ the statement quoted Director General, C-DAC, Dr Hemant Darbari as saying.

It was in 2008, when IBM unveiled its supercomputer named ‘Roadrunner’, which reached the computing milestone of 1 petaFLOPS and back then it become the 2008 list of TOP500‘s most powerful supercomputers.

Later in 2010, China unveiled the Tianhe-1, a supercomputer that operates at a peak computing rate of 2.5 petaFLOPS and thus beating IBM’s RoadRunner.

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So the upcoming Super computing facility at IIT Kharagpur will lie in between of IBM’s Roadrunner and China’s Tianhe.

As per the MoU of IIT-Kharagpur with C-DAC, the later would facilitate supply, installation, commissioning and operations of state-of-the-art HPC facility along with Data Center ecosystem at IIT Kharagpur funded under the NSM project.

IIT Kharagpur has selected specific challenge domains including cryptography, chemistry, molecular dynamics, drug discovery, AI & Data Sciences, etc. We have also identified the challenges in these domains and the applications in areas such as healthcare, smart cities, geosciences, new materials and other discovery based sciences.

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