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Supercomputing in India

Supercomputing in India is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Supercomputing in India rather than just read about it. In short: Supercomputing in India has a history going back to the 1980s. The Government of India created an indigenous development programme as they had difficulty purchasing foreign supercomputers.

Key takeaways

  • Supercomputing in India belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Supercomputing in India to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Supercomputing in India from memory before moving on to harder problems.

Reference excerpt

Supercomputing in India has a history going back to the 1980s. The Government of India created an indigenous development programme as they had difficulty purchasing foreign supercomputers. As of November 2025, the AIRAWAT supercomputer is the fastest supercomputer in India, having been ranked 188th fastest in the world in the TOP500 supercomputer list. AIRAWAT has been installed at the Centre for Development of Advanced Computing (C-DAC) in Pune.

History

Early years India had faced difficulties in the 1980s when trying to purchase supercomputers for academic and weather forecasting purposes. In 1986 the National Aerospace Laboratories (NAL) started the Flosolver project to develop a computer for computational fluid dynamics and aerospace engineering. The Flosolver MK1, described as a parallel processing system, started operations in December 1986.

Indigenous development programme In 1987, the Indian government had requested to purchase a Cray X-MP supercomputer; this request was denied by the United States government as the machine could have a dual use in weapons development. After this problem, in the same year, the Government of India decided to promote an indigenous supercomputer development programme. Multiple projects were commissioned from different groups including the Centre for Development of Advanced Computing (C-DAC), the Centre for Development of Telematics (C-DOT), the National Aerospace Laboratories (NAL), the Bhabha Atomic Research Centre (BARC), and the Advanced Numerical Research and Analysis Group (ANURAG). C-DOT created "CHIPPS": the C-DOT High-Performance Parallel Processing System. NAL had started to develop the Flosolver in 1986. BARC created the Anupam series of supercomputers. ANURAG created the PACE series of supercomputers.

C-DAC First Mission

The C-DAC was created at some point between November 1987 and August 1988. C-DAC was given an initial 3 year budget of Rs 375 million to create a 1000MFLOPS (1GFLOPS) supercomputer by 1991. C-DAC unveiled the PARAM 8000 supercomputer in 1991. This was followed by the PARAM 8600 in 1992/1993. These machines demonstrated Indian technological prowess to the world and led to export success. Param 8000 was replicated and installed at ICAD Moscow in 1991 with Russian collaboration.

C-DAC Second Mission The PARAM 8000 was considered a success for C-DAC in delivering a gigaFLOPS range parallel computer. From 1992 C-DAC undertook its "Second Mission" to deliver a 100 GFLOPS range computer by 1997/1998. The plan was to allow the computer to scale to 1 teraFLOPS. In 1993 the PARAM 9000 series of supercomputers was released, which had a peak computing power of 5 GFLOPS. In 1998 the PARAM 10000 was released; this had a sustained performance of 38 GFLOPS on the LINPACK benchmark.

C-DAC Third Mission The C-DAC's third mission was to develop a teraFLOPS range computer. The PARAM Padma was delivered in December 2002. This was the first Indian supercomputer to feature on a list of the world's fastest supercomputers, in June 2003.

Development by other groups in the early 2000s By the early 2000s it was noted that only ANURAG, BARC, C-DAC and NAL were continuing development of their supercomputers. NAL's Flosolver had 4 subsequent machines built in its series. At the same time ANURAG continued to develop PACE, primarily based on SPARC processors.

12th Five Year Plan The Indian Government has proposed to commit US$2.5 billion to supercomputing research during the 12th Five-Year Plan period (2012–2017). The project will be handled by Indian Institute of Science (IISc), Bangalore. Additionally, it was later revealed that India plans to develop a supercomputer with processing power in the exaflops range. It will be developed by C-DAC within the subsequent five years of approval.

National Supercomputing Mission

In 2015 the Ministry of Electronics and Information Technology announced a "National Supercomputing Mission" (NSM) to install 73 indigenous supercomputers throughout the country by 2022. This is a seven-year program worth $730 million (Rs. 4,500 crore). Whilst previously computer were assembled in India, the NSM aims to produce the components within the country. The NSM is being implemented by C-DAC and the Indian Institute of Science. The aim is to create a cluster of geographically distributed high-performance computing centers linked over a high-speed network, connecting various academic and research institutions across India. This has been dubbed the "National Knowledge Network" (NKN). The mission involves both capacity and capability machines and includes standing up three petascale supercomputers. The first phase involved deployment of supercomputers which have 60% Indian components. The second phase machines are intended to have an Indian designed processor, with a completion date of April 2021. The third and final phase intends to deploy fully indigenous supercomputers, with an aimed speed of 45 petaFLOPS within the NKN. By October 2020, the first assembled in India supercomputer had been installed. The NSM hopes to have the manufacturing capability for indigenous production by December 2020. A total of 24.83 petaFLOPS of High Performance Computing (HPC) machines were put into service between 2019 and 2023. In addition to 5,930 specialists from more than 100 institutes using the newly constructed facilities, 1.75 lakh (175,000) people received training in HPCs. A total of 73.25 lakh (7.325 million) computational high performance queries were run. Seven systems with processing power greater than one petaFLOPS, eight systems with computational capacities between 500 teraFLOPS and 1 petaFLOPS, and thirteen systems with capacities between 50 teraFLOPS and 500 teraFLOPS were installed during this time.

Rankings

Current TOP500 As of November 2025, there are 5 systems in India in the TOP500 supercomputer list.

India's historical rank in TOP500

See also

Computers EKA (supercomputer) PARAM Wipro Supernova

General History of supercomputing Supercomputing in China Supercomputing in Europe Supercomputing in Japan Supercomputing in Taiwan TOP500

References

Worked examples

Example 1 — a first encounter with Supercomputing in India

Start with the simplest possible case. Write down what Supercomputing in India claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Supercomputing in India before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Supercomputing in India ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Supercomputing in India

In research
Supercomputing in India appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Supercomputing in India in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Supercomputing in India is common in secondary-school and first-year university syllabi. It links to neighbouring topics Information technology in India, Science and technology in India, Supercomputer sites, so understanding it makes those chapters shorter.
In everyday life
Look for Supercomputing in India outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Supercomputing in India in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Supercomputing in India means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Supercomputing in India out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Supercomputing in India in simple terms?

Supercomputing in India has a history going back to the 1980s. The Government of India created an indigenous development programme as they had difficulty purchasing foreign supercomputers.

Why does Supercomputing in India matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Supercomputing in India?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Supercomputing in India.

Tags

  • Information technology in India
  • Science and technology in India
  • Supercomputer sites
  • Supercomputing
  • Supercomputing in India

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