Three RSC Supercomputers Represent Russia in Global IO500 Rating

November 19, 2020

Nov. 19, 2020 — Three supercomputer systems deployed by RSC, a leading Russian developer and integrator of innovative ultrahigh-dense and energy efficient solutions for high-performance computing (HPC), data centers, cloud platforms and storage-on-demand, are the only Russian systems in the new edition of global IO500 rating of the best performing HPC-level storage systems (as it was announced at SC20, the world’s largest supercomputer exhibition).

MVS-10P OP2 supercomputer (Joint Supercomputer Center of the Russian Academy of Sciences, JSCC RAS) is a new member of the list entered on 18th place, which is the best result among all Russian systems there. Govorun supercomputer holds 22nd position (Joint Institute for Nuclear Research, JINR in Dubna, Moscow region), and ‘Polytechnic – RSC Tornado’ system has got 28th place (St. Petersburg State Polytechnic University, SPbPU). Previous IO500 rating featured two RSC supercomputers, so now the company has increased by 50% the number of its systems. Since June 2018, the RSC’s presence in the list tripled.

These excellent results were achieved due to unique distributed and composable RSC Storage on-Demand systems. It is based on Intel SSD and Intel Optane SSD with NVMe interfaces in all three projects. JSCC RAS supercomputer also takes advantage of new storage nodes based on high-speed Intel SSD drives in E1.S form-factor (nicknamed ‘rulers’).

When Govorun supercomputer was commissioned and operational at JINR in June 2018, it occupied the high 9th place in the global IO500 rating.

JSCC RAS supercomputer

MVS-10P OP2 supercomputer at JSCC RAS

The Joint Supercomputer Center of the Russian Academy of Sciences is one of the powerful Russian supercomputing centers in the field of science and high education. Over 150 research groups use HPC resources of JSCC RAS for solving fundamental and applied tasks.

Total peak performance of JSCC RAS systems deployed by RSC based on ultrahigh-dense and energy efficient RSC Tornado and RSC PetaStream solutions with 100% ‘hot water’ liquid cooling is currently 1.7 Petaflops.

MVS-10P OP2 supercomputer at JSCC RAS had undergone another scheduled upgrade in 2020. Its peak performance has been increased by almost two times by 93% and is currently 823.91 Teraflops.

This computing power increase resulted from installation of a new segment of 86 computing nodes based on Intel Xeon Scalable 2nd Generation server processors (Intel Xeon Gold 6248R), Intel S2600BPB Server Board and Intel SSD. Intel Omni-Path interconnect technology enables high-speed link between computing nodes. MVS-10P OP2 supercomputer is also based on comprehensive ultrahigh-dense and energy efficient RSC Tornado solution with 100% ‘hot water’ liquid cooling.

Supercomputer named after N. N. Govorun in JINR

Govorun supercomputer of the Joint Institute for Nuclear Research is a joint project of the Theoretical Physics Laboratory (TPL) named after N.N. Bogolyubov and Laboratory of IT (LIT) supported by JINR board. It was deployed in 2018 with help of specialists from RSC Group and Intel Corporation.

The initial installation the Govorun supercomputer in 2018 enabled a lot of complex and resource-intensive simulations in the field of quantum chromodynamics patterns for research of hadronic matter properties at high energy density and barion charge and in presence of extra strong electromagnetic fields/ It also accelerated generation and reconstruction of events for planned experiments for coming NICA ion collider. Supercomputer boosted calculation speed of radiation safety of experimental JINR units; significantly accelerated radiation biology research and other applied science problems at JINR; supported in international collaborations. Research results were published in over 50 leading global science journals, including Nature Physics.

JINR supercomputer was upgraded in 2019. The new hyper-converged and software-defined system has total theoretical peak performance of 860 TFLOPS with double precision. It’s novel approach has unique features to make it adaptable for specific user workloads and maximize utilization of supercomputer’s resources.

The system has a number of different node types and allows unique flexibility of composable configurations:

  • Base computing nodes — dual-socket nodes with two high speed NVMe drives based on Intel Xeon Scalable 2nd Generation processors (Intel Xeon Gold 8268), Intel Server Board S2600BP and high-speed 2TB Intel SSD DC P4511 drives with NVMe interface in M.2 form-factor, as well as one 100Gbps Intel Omni-Path adapter. These nodes are the building blocks for standard computing and distributed storage-on-demand systems.
  • Enhanced storage functionality nodes — base dual-socket nodes with 12 extra M.2 slots for high-speed NVMe disks and high-speed PCIe bus controllers supporting all advantages of modern storage technologies such as SDS, NVMe-over-Fabric, M.2 Hot Swap, etc. Nodes are based on Intel Xeon Scalable 2nd Generation processors (Intel Xeon Gold 8268), Intel Server Board S2600BP, two 100Gbps Intel Omni-Path adapters and:
  • 12x high-speed Intel SSD DC P4511 2TB M.2 drives with NVMe interface for high-speed static and storage-on-demand systems;
  • or 12x high-speed low latency Intel SSD DC Optane P4801X 375GB M.2 drives with NVMe interface. These nodes can be used for high-capacity systems (up to 3.4TB per node) or as very fast parallel storage component (e.g. MDS in Lustre).
  • Nodes for hyper-massive parallel tasks based on 72-core Intel Xeon Phi 7290 coprocessors, Intel Server Board S7200AP, Intel SSD DC S3520 M.2 drives with SATA interface. Hyper-converged approach resulted in unique high-speed storage system for “Govorun” with leading characteristics and cost-efficiency.

An implementation of “storage-on-demand” approach in JINR supercomputer enables re-configuration of a specific storage system for each user or application with all required properties (capacity, speed, file system, persistence, reliability and security), which would also be impossible to achieve with standard, monolithic approach to HPC storage.

‘Polytechnic – RSC Tornado’ supercomputer at SPbPU

St. Petersburg Polytechnic State University named after Peter the Great started creating one of the most powerful and innovative supercomputer centers (SCC) in Russia with peak performance over 1.1 Petaflops back in 2014, and ‘Polytechnic’ SCC has been commissioned successfully in 2015.

SPbPU supercomputer center is focused on solving inter-disciplinary natural science research tasks and design of complex technical systems for hi-tech segments of local industries and science. The overall peak performance of SPbPU supercomputers has been increased by 23% in 2020 and currently amounts 1.6 Petaflops.

After scheduled upgrade of ‘Polytechnic – RSC Tornado’ supercomputer in 2020 its peak performance has increased by 29% to 1.309 Petaflops.

This computing power increase resulted from installation of a new segment of 64 computing nodes based on Intel Xeon Scalable 2nd Generation server processors (Intel Xeon Platinum 8268, Intel Xeon Gold 6248R), Intel Server Board S2600BPB, Intel SSD and Intel Optane SSD. ‘Polytechnic – RSC Tornado’ supercomputer is based on an universal ultrahigh-dense and energy efficient RSC Tornado solution with 100% ‘hot water’ liquid cooling.

About RSC Group

RSC Group is a leading Russian developer and integrator of full cycle innovative, ultra high-density, scalable, energy-efficient and hyper-converged solutions for high-performance computing (HPC), data centers and intelligent data storage on-demand based on Intel architecture, innovative RSC liquid cooling technology and a number of its own know-hows. Since 2018, RSC participates in ‘National Champions’ priority project implemented by the Ministry of Economic Development of Russian Federation.

RSC has the potential to create energy efficient solutions with record-breaking power usage effectiveness (PUE), the highest computing density in the industry with standard x86-based processors, to use fully green design, provide the highest solution reliability, noise-free operation of computing modules, 100% compatibility and guaranteed scalability with unmatched low cost of ownership and low power consumption. RSC specialists also have the experience of developing and implementing an integrated software stack of solutions to improve work efficiency and application of supercomputer systems from system software to vertically oriented platforms based on cloud computing technologies.

RSC is a Platinum member of Intel Technology Provider Program, has Intel Select Solution for Simulation and Modeling, Intel Select Solution for Professional Visualization certifications, participates in Intel Fabric Builders Program, has Intel HPC Data Center Specialist status and Intel Solutions for Lustre Reseller Elite status. Performance and scalability of RSC Tornado based solutions are proved by Intel Cluster Ready certification.
For more information see our corporate website www.rscgroup.ru.


Source: RSC

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!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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’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