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!

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. According to the reports, photonics quantum computer developer PsiQu Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of what it is like to orbit and enter a black hole. And yes, it c Read more…

2024 Winter Classic: Meet the Mentors Round-up

May 6, 2024

To make navigating easier, we have compiled a collection of all the mentor interviews and placed them in this single page round-up. Meet the HPE Mentors The latest installment of the 2024 Winter Classic Studio Update S Read more…

2024 Winter Classic: The Complete Team Round-up

May 6, 2024

To make navigating easier, we have compiled a collection of all the teams and placed them in this single page round-up. Meet Team Lobo This is the other team from University of New Mexico, since there are two, right? T Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hopes to fill a big software gap with an agreement to acquire R Read more…

2024 Winter Classic: Oak Ridge Score Reveal

May 5, 2024

It’s time to reveal the results from the Oak Ridge competition module, well, it’s actually well past time. My day job and travel schedule have put me way behind, but I am dedicated to getting all this great content o Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly Read more…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

A Big Memory Nvidia GH200 Next to Your Desk: Closer Than You Think

February 22, 2024

Students of the microprocessor may recall that the original 8086/8088 processors did not have floating point units. The motherboard often had an extra socket fo Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire