RSC Announces Tornado Solution with New Phi Processors

June 21, 2016

Frankfurt-am-Main, Germany, June 21 — RSC Group, the leading developer and system integrator of innovative solutions for high-performance computing (HPC) segment and datacenters in Russia and CIS has demonstrated a new generation of its high performance, scalable and energy-efficient RSC Tornado solution with direct liquid cooling based on the newest multicore Intel Xeon Phi processor (previously code named as Knights Landing) on the day of global launch of this product at ISC’16 international conference and exhibition. New RSC solution has improved footprint and computing density, high energy efficiency and provides stable operation of computing nodes in “hot water” mode at +63 °С cooling agent temperature at node inputs. This confirms leading position of the company in the field of bringing the latest technologies for global supercomputer industry to the market and meeting growing customer demands.

New generation of RSC Tornado cluster solution has the following improved characteristics:

• high-end models of the latest multicore (up to 72 cores) Intel Xeon Phi 7250,  Intel Xeon Phi 7290 or  Intel Xeon Phi 7250F, Intel Xeon Phi 7290F processors (“F” indicates processor versions with integrated high-speed interconnect Intel Omni-Path),
• usage of new Intel Server Boards S7200AP,
• highest physical density with up to 153 computing node in a standard 42U cabinet (80х80х200 cm),
• almost doubled computing density – 528 teraflops (280 teraflops in previous generation) in a standard 42U cabinet or over 412 teraflops/m3,
• up to 192 GB RAM per node (DDR4-2400 RAM + 16 GB MCDRAM),
• simultaneous use of up to 2 SSD SATA drives and one PCIe SSD in M.2 form factor, such as Intel SSD DC S3500 and Intel SSD DC NVMe M.2,
• improved reliability – independent hydraulic pump modules (hydraulic regulation modules) of the liquid cooling system per a computing domain (up to 9 modules per cabinet) with redundancy level from N+1 to N+N,
• improved energy efficiency – provides necessary conditions for stable operation of computing nodes in “hot water” mode at +63 °С temperature at node input,
• new power supply module in computing node form factor providing efficient transformation of 220V (AC) to 400V (DC) and supporting parallel operation on common bus,
• updated design of computing cabinet with support of new high speed inter-node communication technologies including Intel Omni-Path and Mellanox EDR InfiniBand,
• support of flexible cooling system configurations with redundancy of both single hydraulic regulation nodes and the entire system.

RSC has demonstrated RSC Tornado computing node based on Intel Xeon Phi 7250 multicore processor on a new Intel S7200AP server board with two Intel SSD DC S3500 Series M.2 340 GB and one Intel SSD DC NVMe M.2 PCIe solid state drives and switches and adapters based on Intel Omni-Path and Mellanox EDR InfiniBand high-speed interconnects.

RSC Tornado cluster solution can also be implemented with Intel Xeon E5-2600 v4 server processors (including high-end model Intel Xeon E5-2699 v4) providing high computing density – 237 teraflops in a standard 42U (80x80x200 cm) cabinet.
Innovative management and monitoring system of RSC solutions for high-performance computing also provides high availability, resistance to failures and ease of use. It can be used to manage single nodes and the entire solution, including infrastructure components. All elements of the system (computing nodes, power supplies, hydraulic regulation modules, etc.) have an integrated management module providing broad capabilities for detailed telemetry and flexible management. Cabinet design supports replacement of computing nodes, power supplies and hydraulic regulation modules (with redundancy) in hot-swap mode without interruption of system operation. Most components of the system (such as computing nodes, power supplies, network and infrastructure components, etc.) are software-defined, and this significantly simplifies and speeds up initial deployment, maintenance and future upgrades of the system. Liquid cooling of all components ensures their longevity.

Latest innovative approaches in new generation of RSC Tornado cluster solution enabled reduction of infrastructure costs within the scope of computing system development and provided capabilities for more flexible upgrades of single nodes and the entire system.
Therefore, RSC solutions for high-performance computing keep setting de facto high industry standards of physical and computing density, energy efficiency, reliability, availability and manageability.

“With unique extensive experience in development of highly efficient direct liquid cooling and ultra-dense integration of HPC solutions based on standard server  components, RSC specialists has developed and presented a new generation of RSC Tornado cluster solution based on the latest multicore Intel Xeon Phi processor (earlier code named as Knights Landing) right on the day of global launch of this product. RSC Tornado also has numerous improved characteristics highly demanded by customers operating powerful data centers. All RSC solutions are developed in Russia and we actively use the potential and production capacities of Russian manufacturing facilities,” said Alexey Shmelev, CEO of RSC Group.

Russian customers use solutions based on RSC Tornado cluster architecture with liquid cooling developed by RSC Group specialists in production environments for over six years. These solutions are installed and actively used for modeling and calculation of a broad range of scientific, research and industrial tasks by the St. Petersburg Polytechnic University named after Peter the Great  (SPbPU), Joint Supercomputer Center of the Russian Academy of Sciences (JSCC RAS), South Ural State University (SUSU), Moscow Physics and Technology Institute (MIPT), Russian Weather Forecast Agency (Roshydromet) and other customers from different vertical industries.

About RSC Group

RSC Group is the leading Russian and CIS developer and integrator of innovative HPC and data center solutions based on Intel architecture and technology, advanced liquid cooling and its own extensive know-how. The company’s potential allows for practical creation of the most energy efficient solutions with record PUE, realization of industry-highest computing density based on x86 standard processors, completely green design, the highest reliability of solutions, complete noiselessness of computing modules, 100 percent compatibility and guaranteed scalability, while ensuring lowest total cost of ownership and small energy consumption. Additionally RSC specialists are experienced in development and implementation of a complete software solution stack for increased effectiveness and usability of supercomputer systems ranging from system software to vertically oriented platforms on the basis of cloud computing technology. RSC participates in the Intel Technology Provider Program at Platinum level. Performance and scalability of RSC PetaStream and RSC Tornado based solutions are Intel Cluster Ready certified. For more information please visit www.rscgroup.ru.


Source: RSC Group

Subscribe to HPCwire's Weekly Update!

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

RIKEN Post-K Supercomputer Named After Japan’s Tallest Peak

May 23, 2019

May 23 -- RIKEN President Hiroshi Matsumoto announced that the successor to the K computer will be named Fugaku, another name for Mount Fuji, which is the tallest mountain peak in Japan. Supercomputer Fugaku, developed b Read more…

By Tiffany Trader

Cray’s Emerging Market & Technology Director Arti Garg Peers Around HPC/AI Corner

May 23, 2019

In her position as emerging market and technology director at Cray, Arti Garg doesn't just have a front-row seat to the future of computing, she plays an active role in making that future happen. Key to Garg's role is understanding how deep learning scientists are using state-of-the-art HPC infrastructures and figuring out how to push those limits further. Read more…

By Tiffany Trader

Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks

May 23, 2019

The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or rent a phishing kit and start attacking – or it can be done Read more…

By Doug Black

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

For decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Who’s Driving Your Car?

Delivering a fully autonomous driving (AD) vehicle remains a key priority for both manufacturers and technology firms (“firms”). However, passenger safety is now a top-of-mind concern due in great part, to fatalities resulting from driving tests over the past years. Read more…

TACC’s Upgraded Ranch Data Storage System Debuts New Features, Exabyte Potential

May 22, 2019

There's a joke attributed to comedian Steven Wright that goes, "You can't have everything. Where would you put it?" Users of advanced computing can likely relate to this. The exponential growth of data poses a steep challenge to efforts for its reliable storage. For over 12 years, the Ranch system at the Texas Advanced Computing Center... Read more…

By Jorge Salazar, TACC

Cray’s Emerging Market & Technology Director Arti Garg Peers Around HPC/AI Corner

May 23, 2019

In her position as emerging market and technology director at Cray, Arti Garg doesn't just have a front-row seat to the future of computing, she plays an active role in making that future happen. Key to Garg's role is understanding how deep learning scientists are using state-of-the-art HPC infrastructures and figuring out how to push those limits further. Read more…

By Tiffany Trader

Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks

May 23, 2019

The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or re Read more…

By Doug Black

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

HPE to Acquire Cray for $1.3B

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. T Read more…

By Doug Black & Tiffany Trader

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

CCC Offers Draft 20-Year AI Roadmap; Seeks Comments

May 14, 2019

Artificial Intelligence in all its guises has captured much of the conversation in HPC and general computing today. The White House, DARPA, IARPA, and Departmen Read more…

By John Russell

Cascade Lake Shows Up to 84 Percent Gen-on-Gen Advantage on STAC Benchmarking

May 13, 2019

The Securities Technology Analysis Center (STAC) issued a report Friday comparing the performance of Intel's Cascade Lake processors with previous-gen Skylake u Read more…

By Tiffany Trader

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

ClusterVision in Bankruptcy, Fate Uncertain

February 13, 2019

ClusterVision, European HPC specialists that have built and installed over 20 Top500-ranked systems in their nearly 17-year history, appear to be in the midst o Read more…

By Tiffany Trader

Intel Reportedly in $6B Bid for Mellanox

January 30, 2019

The latest rumors and reports around an acquisition of Mellanox focus on Intel, which has reportedly offered a $6 billion bid for the high performance interconn Read more…

By Doug Black

Looking for Light Reading? NSF-backed ‘Comic Books’ Tackle Quantum Computing

January 28, 2019

Still baffled by quantum computing? How about turning to comic books (graphic novels for the well-read among you) for some clarity and a little humor on QC. The Read more…

By John Russell

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Deep500: ETH Researchers Introduce New Deep Learning Benchmark for HPC

February 5, 2019

ETH researchers have developed a new deep learning benchmarking environment – Deep500 – they say is “the first distributed and reproducible benchmarking s Read more…

By John Russell

IBM Bets $2B Seeking 1000X AI Hardware Performance Boost

February 7, 2019

For now, AI systems are mostly machine learning-based and “narrow” – powerful as they are by today's standards, they're limited to performing a few, narro Read more…

By Doug Black

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This