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Home Science & Tech

PARAM ANANTA

June 2, 2022
in Science & Tech
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In news– The government has deployed an indigenously developed Param Ananta supercomputer under National Supercomputing Mission (NSM) at IIT Gandhinagar, Gujarat. It has a computing power capacity of 838 teraflops (838 lakh crore calculations per second).

About India’s supercomputers-

  • Param Ananta supercomputing facility is established under Phase 2 of the NSM, wherein the majority of the components used to build this system have been manufactured and assembled within the country, along with an indigenous software stack developed by C-DAC.
  • It will be able to support IIT Gandhinagar in pursuing R&D activities in multidisciplinary domains of science and technology including artificial intelligence (AI), machine learning (ML), and data science, computational fluid dynamics (CFD), bio-engineering for genome sequencing and DNA studies, computational biology and bioinformatics used in prediction and detection of gene networks. 
  • It can help atomic and molecular sciences to comprehend the binding of drugs to a particular protein.
  • The National Supercomputing Mission (NSM) is a joint initiative of the Ministry of Electronics and Information Technology (MeitY) and the Department of Science and Technology (DST).
  • Under NSM, to date 15 supercomputers have been installed across the nation with an aggregate compute capacity of 24 petaflops. 
  • The top supercomputer 210 AI PetaFlops Param Siddhi with a processing power of 6.5 petaflops has been deployed at CDAC, Pune.

Note- As of 2022, Frontier, a supercomputer built for the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL), became the world’s fastest supercomputer. Fugaku, installed at the RIKEN Center for Computational Science in Kobe, Japan, is the second fastest supercomputer. Frontier is also ranked number one as the world’s most energy-efficient supercomputer, on the Green500 list, which measures supercomputing energy use and efficiency.

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Source: Livemint
Tags: NewspaperPrelims

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