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India gets its first supercomputer 'Pratyush'

Jan 9, 2018 10:57 IST
India gets its first supercomputer 'Pratyush'

Union Minister of Earth Sciences Harsh Vardhan dedicated to India, the nation’s first and fastest multi-petaflops supercomputer at the Indian Institute of Tropical Meteorology (IITM) in Pune on 8 January 2017.

Named ‘Pratyush’, which means the Sun, the supercomputer will be a national facility for improving weather and climate forecasts and services under the umbrella of the Ministry of Earth Sciences (MoES).

Speaking on the occasion, Harsh Vardhan said that it will be India’s number one HPC facility in terms of peak capacity and performance.

Background

The establishment of the supercomputer is a part of the Union Ministry’s continuous endeavor to provide world-class forecast services to the citizens of India through upgrading various operational and research activities and infrastructure.

India needs better forecasts for Weather and Climate conditions like the monsoon, extreme events, Tsunamis, Cyclones, earthquakes, air quality, lightning, fishing, hot - cold waves, flood, and drought.

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Other Details

• In order to provide useful services, MoES runs several computationally intensive applications on High-Performance Computers (HPC).

• In the last 10 years, the HPC infrastructure at MoES institutes has grown from 40 Tera flops in 2008 to 1 Peta flop in 2013-14.

• At present, MoES' HPC system stands at 368th position in Top 500 list.

• To provide better services and improve its position, MoES recently augmented its computational capacity up to 6.8 PF installed at two MoES Institutes: 4.0 Peta Flops HPC facility at IITM, Pune and 2.8 Peta Flops at NCMRWF, Noida.

• With this augmentation, India is expected to rise from the 368th position to around top 30 in the Top 500 list of HPC facilities in the world.

• In terms of dedicated HPC resources for weather/climate community, India will be placed at the 4th position behind Japan, UK and USA.

• This new HPC facility will enable MoES scientists to use more detailed components of the Earth System for making better weather and climate forecasts at very high resolution.

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