Supercomputing Education in Russia

By Vladimir Voevodin

April 4, 2012

The second year of “Supercomputing Education” project in Russia has completed. The idea for the project was presented to the President of Russia, Dmitry Medvedev, back in 2009. The work was immediately approved and scheduled for the 2010–2012 timeframe, with the implementation assigned to Lomonosov Moscow State University, the university that hosts the largest supercomputing center of Russia. Victor Sadovnichy, rector of Lomonosov Moscow State University, was named the head of the project.

The strategic goal of the “Supercomputer Education” project is to create a national system for training of highly skilled supercomputing professionals. The initial effort in 2011 centered around developing and implementing the basic elements of such a system in Russia’s leading academic institutions. A total of 62 Russian universities were involved in the project.

Major project participants include Lomonosov Moscow State University, Lobachevsky State University of Nizhny Novgorod, Tomsk State University, South Ural State University, St. Petersburg National Research University of Information Technologies, Mechanics and Optics, Southern Federal University, Far Eastern Federal University, Moscow Institute of Physics and Technology and other members of Supercomputing Consortium of Russian Universities. In aggregate, more than 600 people participated in this endeavor in 2011.
 
The national System of Research and Education Centers for Supercomputing Technologies (REC SCT), covering all federal districts of Russia, became the basis for the success of the project. The main goal of REC SCT is efficient organization of training and retraining of supercomputing professionals in universities, institutes, industry and business.

A large-scale training of entry-level specialists on supercomputing technologies was initiated in 2011. This was an activity which involved all federal districts and encompassed 45 Russian universities. Educational programs at most universities were aimed at basic training and getting knowledge of the most widely needed parallel programming technologies required to start using supercomputers and parallel computing systems. A total of more than 1,800 specialists were trained.

One of the most important aspects of the project was to develop the “Body of Knowledge” on parallel computing and supercomputing technologies. Based on this, proposals were composed to extend the third-generation national educational standards for Applied Mathematics and Computer Science and Mathematics for more in-depth education on supercomputing technologies. Next, proposals will be put forward for academic curricula and retraining programs on supercomputing technologies.

An extensive program for development and reviewing of educational literature on supercomputing technologies for bachelors, masters and postdocs is in the progress. More than 20 textbooks by Russian and foreign scientists are recommended to be included in Supercomputing Education series. All the books will be sent to 43 Russian university free of charge.

In 2011, retraining programs for professors and faculty members were implemented in all federal districts of Russia. More than 160 teachers from 40-plus Russian universities have successfully completed the program.

A lot of work has been done in development of supercomputing educational courses. In all, a total of 37 courses covering the main chapters of the Body of Knowledge were developed and disseminated among universities.

Intensive training of special groups aimed at deep studying of specific supercomputing technologies, one of the most difficult but important activity of the project, has been completed successfully. 18 special groups have been organized which were trained by 14 different educational programs. Special groups have been organized in all REC SCT federal districts, and more than 400 people have completed the education successfully.

Distance learning was actively used throughout the project. A total of 251 students from 100 Russian towns and cities have completed training in supercomputing technologies using the Internet University of Supercomputing Technologies (http://hpcu.ru, in Russian).

A national system of summer youth schools in all the major regions of Russian Federation has also been organized. A number of educational, analytic and popular papers, materials and books have been developed in close cooperation with leading scientists as well as representatives of industry and business.

International cooperation is one of the key aspects of the project. Three joint educational programs were developed by Russian and foreign universities. Under the project, many foreign scientists participated in scientific and educational activities. In additions, many partnership agreements on supercomputing technologies were made between Russian and foreign universities, institutes, supercomputing centers and companies.

A special system of public relations activities aimed at promoting supercomputing applications in different areas of industry, science and society has been developed and implemented. Its scope is extremely broad and includes TV lectures, articles in IT-related online journals, a series of publications in federal and regional mass media, participation in conferences, scientific festivals, exhibitions, excursions to supercomputing facilities, as well as many other activities.

Major results of the project are available at the Internet Center on Supercomputing Education (http://hpc-education.ru, in Russian), which is gradually becoming an unofficial national center for coordination of supercomputing educational activities for the country.

It is extremely important that all activities, both planned and implemented, are targeted to form an integrated national educational infrastructure, which is required to grow highly qualified supercomputing professionals. An extensive program of activities planned for 2012 envisions wider dissemination of ideas about the Supercomputing Education project in Russian academic and industrial community.

—-

Vladimir Voevodin is the deputy director of the Moscow State University Research Computing Center and is the national coordinator of the Supercomputing Consortium of Russian Universities.  He can be reached at [email protected].

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announced its second fund targeting €200 million. The very idea th Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. In a way, Nvidia is the new Intel IDF, the hottest chip show Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire