In a landmark development for Indian science, Prime Minister Narendra Modi is set to inaugurate a supercomputing system at the Giant Metrewave Radio Telescope (GMRT) in Pune. The supercomputer, developed by the Centre for Development of Advanced Computing (C-DAC), represents a significant technological leap for radio astronomy research in the country. GMRT, which is the world’s largest telescope of its kind, will benefit from this advanced computational capability, allowing for more precise and sensitive exploration of low and mid-radio frequencies. This is part of a series of initiatives PM Modi will unveil during his visit to Pune on September 26 and 27 via video conference.
The supercomputing system, named ‘Param Rudra,’ has a processing power of 1 PetaFLOP and is equipped with powerful GPUs to significantly enhance GMRT’s sensitivity. The installation, supported by the National Centre for Radio Astrophysics (NCRA), is expected to provide cutting-edge solutions for studying the interstellar medium and conducting advanced research in radio astronomy. NCRA operates the GMRT, which is located in Khodad, Maharashtra, about 80 kilometres from Pune, and is part of the Tata Institute of Fundamental Research (TIFR). The supercomputer will strengthen India’s position in global radio astronomy and foster international collaborations.
The GMRT, comprising 30 antennas, each 45 metres in diameter, is spread across a 30-kilometre radius and has been operational since 2002. This new supercomputing upgrade is critical for processing vast amounts of data generated by the telescope, allowing scientists to delve deeper into the mysteries of the universe. GMRT’s success over the decades has made it a prominent player in global space research, attracting scientists from across the world for collaborative research. The introduction of Param Rudra will only enhance its reputation as a hub of innovation. From a sustainability perspective, this supercomputing system will support eco-friendly research processes. By enabling more precise observations and reducing the need for repetitive trials, the system contributes to energy-efficient operations. Advanced computing can lead to more sustainable research methodologies, aligning with India’s broader goals of integrating science with environmental responsibility.
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