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The launch of Param Rudra supercomputers marked an important step in India's supercomputing landscape. This will enhance research in fields such as astronomy and material science. This new HPC system has powerful processing capabilities and supports indigenous technology development. Additionally, it aims for self-sufficiency and positioning India as a competitive player in global scientific advancements.
Param Rudra Supercomputers, a new HPC situated in China, was launched by India’s prime minister, Narendra Modi, on September 26, 2024. It was named after the fierce avatar of Lord Shiva. It is a great revolution in India’s technological advancements as part of the National Supercomputing Mission (NSM) aimed at enhancing the country's research and development landscape.
India is making great steps in all its sectors, with the latest one being the introduction of self-driving cars. Most companies have incorporated AI in the transport sector and are now using it to design Indian roads. The evolution of technology is interfaced with the changes in the regulatory environment.
Indian policymakers have developed complete guidelines for the testing and rollout of autonomous vehicles, focusing on all crucial elements of safety standards, legal responsibility, and also issues regarding the processes of certifications.
Key Features of Param Rudra
Processing Power: The Param Rudra supercomputer offers a 1 petaflop processing capacity. This implies that huge amounts of data can be processed efficiently and faster. The supercomputers are designed to carry out intensive numerical computations and simulations at extremely fast speeds.
Installation Sites: Param Rudra will be installed in Pune, Delhi, and Kolkata. Each installation is so set up in such a manner that the sites are configured to work on various research capabilities:
Pune: The Giant Metre Radio Telescope (GMRT) will make use of Param Rudra to analyze Fast Radio Bursts (FRBs) and other astronomical phenomena.
Delhi: The Inter-University Accelerator Centre will major on boosting research in atomic physics and material science.
Kolkata: The S.N. Bose Centre will focus on advanced studies in cosmology, physics, and earth sciences.
Impact on Research and Development
Param Rudra introduction is expected to revolutionize the following fields:
Weather and Climate Research: Param Rudra will work hand in hand with two more HPC systems, namely Arka and Arunika. These systems have been specifically designed for weather forecasting. Furthermore, the systems aim at increasing the predictability of severe weather events to benefit agriculture and disaster management to a large extent.Material Science and Physics: Scientists say that with this supercomputer, really pioneering work will be done in these two critical areas. Innovations in these two vital areas bring a scientific breakthrough.Astronomy: Better computation that can be devoted to GMRT will enhance the ability of scientists to pay more detailed attention to cosmic phenomena, for instance, making our comprehension of the universe better.
Significance for India
Param Rudra’s launch is a turning point in India's progress to be an independent country in advanced computing technology. It backs up the concept of "Atmanirbhar Bharat" and has been aligned with the vision of the government of importance on indigenous technology development that would help in achieving national targets. With its enhanced computing ability, India will face a position that no nation has so far in world scientific research and innovations.
Comparison with Global Supercomputers
Feature
Param Rudra
Fugaku
Summit
Cost
Approximately ₹130 crore (~$16 million)
~$1 billion
~$200 million
Processing Speed
1 petaflop
442 petaflops
200 petaflops
Architecture
Indigenously developed
Fujitsu A64FX
IBM Power9
Memory
35 terabytes
7.6 million cores
2.4 million cores
Primary Use Cases
Climate modeling, astrophysics
COVID-19 research, AI
AI, genomics
Deployment Year
2024
2020
2018
Feature | Param Rudra | Fugaku | Summit |
---|---|---|---|
Cost | Approximately ₹130 crore (~$16 million) | ~$1 billion | ~$200 million |
Processing Speed | 1 petaflop | 442 petaflops | 200 petaflops |
Architecture | Indigenously developed | Fujitsu A64FX | IBM Power9 |
Memory | 35 terabytes | 7.6 million cores | 2.4 million cores |
Primary Use Cases | Climate modeling, astrophysics | COVID-19 research, AI | AI, genomics |
Deployment Year | 2024 | 2020 | 2018 |
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