UK Met Office Installs New HPC System With Help From Bright Computing, SGI and DDN

October 19, 2016

MILPITAS, Calif., Oct. 19 — Today, SGI (NASDAQ: SGI), a global leader in high-performance solutions for compute, data analytics, and data management, together with Bright Computing and DataDirect Networks (DDN) announced that the Met Office, the United Kingdom’s national weather service, selected the three HPC vendors to provide high performance computing capabilities for its new Scientific Processing and Intensive Compute Environment (SPICE) system. SPICE will enable weather and climate researchers to dramatically reduce time required to analyze massive amounts of climate simulation data.

The Met Office is a world leading weather forecasting and climate prediction organization that conducts research designed to protect lives and increase prosperity. The institution’s 500 scientists conduct research using data-intensive, high-resolution models to increase forecast accuracy and provide a deeper understanding of climate change. The Met Office required a powerful system for post-processing data and analysis downstream of the primary HPC facility. As a result, the UK Met Office chose SGI to power its SPICE initiative and upgrade its Managed Archive Storage System (MASS).

SGI was selected by the Met Office for its value and performance, allowing users to more easily manage multiple servers and increase system utilization rates. Following the installation in April 2016, the Met Office’s researchers experienced a positive increase in processing capacity, furthering their understanding of meteorology on a global scale.

To support the growth in its MASS which is a critical adjunct to the Met Office’s supercomputer system archive, the Met Office selected SGI’s solution with DDN storage. MASS acts as a repository or archive for the data resulting from scientific research carried out on the supercomputer as well as global observational data. By 2020, this crucial storage archive is predicted to grow to about 300 Petabytes of weather and climate research data.

To build a well-rounded, turnkey system, the Met Office chose to integrate Bright Cluster Manager for HPC to deploy the new SPICE cluster over bare metal, providing single-pane-of-glass management for the hardware, operating system, HPC software, and users. The Met Office also chose to install Bright OpenStack to enable the IT team easy deployment, provision, and management of its OpenStack-based private-cloud infrastructure.

The fact that Bright’s solutions can be administered from a single point of control was a consideration in the Met Office’s decision-making process. With the combined solution of compute, OpenStack, and storage, the Met Office can scale SPICE storage predictably while delivering high-throughput performance to handle simultaneous data reads/writes. Using the SGI system, the Met Office’s researchers can spin up virtual machines easily and operate their own private virtual environment with full control and direct access to their local network. In addition, they can easily increase the capacity of the virtual environment merely by adding more servers to the OpenStack environments.

Scientists using SPICE have already noted significant performance advantages over previous systems, enabling far quicker analysis to support ongoing research. Massive volumes of data are now analyzed in several hours, rather than days. The improvements support and enhance ongoing development of meteorological and climate change research.

Announcement Highlights

  • The UK Met Office has selected SGI to power its new Scientific Processing and Intensive Compute Environment (SPICE), enabling weather and climate researchers to dramatically reduce time required for analyzing climate simulation data.
  • To upgrade its MASS archive, the Met Office has selected SGI together with DDN’s Storage architecture. Currently, the archive stores about 100TB each day and is expected to increase to 200TB per day by 2017.
  • The Met Office has chosen Bright Cluster Manager for HPC to deploy the new SPICE cluster over bare metal, providing single-pane-of-glass management for the hardware, operating system, HPC software, and users. The Met Office has also chosen to install Bright OpenStack, enabling the IT team’s easy deployment, provision, and management of its OpenStack-based private-cloud infrastructure.

Technical Information

  • The SGI Rackable system for SPICE has 36 nodes Intel Xeon processor E5-2690 v4, achieving performance of up to 30,000 Gigaflops
  • Data access and storage for MASS is provided by 3.5 PB of DDN Disk (models GS7K, GS12K) to support disk cache
  • ConnectX-3 Pro Adapter with Virtual Protocol Interconnect for both IP and InfiniBand communication
  • Bright Cluster Manager for HPC and Bright OpenStack

“With the new SPICE system from SGI, we have seen a step-change in performance for our researchers and scientists doing post-processing of weather and climate data,” said Richard Bevan, Head of Operational Technology at the Met Office. “Tasks that used to take 1-2 days to complete are now done in a fraction of that time, allowing scientists to perform multiple runs in one day.”

According to Bob Maynard, storage team technical lead for the Met Office, DDN’s robust, scalable storage for both archive and post-processing delivers exceptional value and unparalleled performance. “No matter how much we grow, DDN will continue to provide a performance step-change that will enable scientists to collect and make sense of massive amounts of data every day for the benefit of mankind and our planet,” he said.

“Everyone who uses Bright technology says it’s impressive, but you really start seeing the power of our technology when you seamlessly connect solutions together,” said Lee Carter, VP EMEA at Bright Computing. “By coupling its HPC and OpenStack environments with Bright management, the Met Office is in a strong position to accelerate research, and provide world leading applications and climate models to both internal as well as external users.”

“The Met Office is driving intensive climate research around the globe, and we’re pleased to provide them with an all-inclusive system to power the SPICE program,” said Gabriel Broner, vice president and general manager, HPC at SGI. “By combining our SGI Rackable solution with Bright Computing and DDN technologies, we’re able to provide the Met Office a strong HPC system that not only handles massive data workloads, but also allows easier manageability for researchers and IT managers to operate the computer simultaneously.”

About DDN

DataDirect Networks (DDN) is the world’s leading big data storage supplier to data-intensive, global organizations. For more than 15 years, DDN storage has designed, developed, deployed, and optimized systems, software, and storage solutions that enable enterprises, service providers, universities, and government agencies to generate more value and to accelerate time to insight from their data and information, on premise and in the cloud. Organizations leverage the power of DDN storage technology and the deep technical expertise of its team to capture, store, process, analyze, collaborate, and distribute data, information, and content at largest scale in the most efficient, reliable, and cost-effective manner. DDN customers include many of the world’s leading financial services firms and banks, healthcare and life science organizations, manufacturing and energy companies, government and research facilities, and web and cloud service providers. For more information, go to www.ddn.com or call 1-800-837-2298, and follow DDN via Blog, Twitter, LinkedIn and Facebook.

About Bright Computing

Bright Computing is the leading independent provider of cluster and cloud management software. Bright Cluster Manager, Bright Cluster Manager for Big Data, and Bright OpenStack provide a unified, hardware-agnostic approach to installing, provisioning, configuring, managing, and monitoring HPC clusters, big data clusters, and OpenStack clouds. Bright’s products are currently deployed in more than 500 data centers around the world. Bright Computing’s customer base includes global academic, governmental, financial, healthcare, manufacturing, energy, and pharmaceutical organizations such as Boeing, NASA, Stanford University, Roche, and St. Jude Children’s Research Hospital. Bright partners with Amazon, Cray, Dell, Intel, NVIDIA, SGI, and other leading vendors to deliver powerful, integrated solutions for managing advanced IT infrastructure such as high performance computing clusters, big data clusters, and OpenStack-based private clouds. www.brightcomputing.com

About SGI

SGI is a global leader in high-performance solutions for compute, data analytics, and data management that enable customers to accelerate time to discovery, innovation, and profitability. Visit www.sgi.com for more information.


Source: Bright Computing

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!

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “pre-exascale” award), parsed out additional information ab Read more…

By Tiffany Trader

Tsinghua Crowned Eight-Time Student Cluster Champions at ISC

June 22, 2017

Always a hard-fought competition, the Student Cluster Competition awards were announced Wednesday, June 21, at the ISC High Performance Conference 2017. Amid whoops and hollers from the crowd, Thomas Sterling presented t Read more…

By Kim McMahon

GPUs, Power9, Figure Prominently in IBM’s Bet on Weather Forecasting

June 22, 2017

IBM jumped into the weather forecasting business roughly a year and a half ago by purchasing The Weather Company. This week at ISC 2017, Big Blue rolled out plans to push deeper into climate science and develop more gran Read more…

By John Russell

Intersect 360 at ISC: HPC Industry at $44B by 2021

June 22, 2017

The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale companies and their embrace of AI and deep learning – tha Read more…

By Doug Black

HPE Extreme Performance Solutions

Creating a Roadmap for HPC Innovation at ISC 2017

In an era where technological advancements are driving innovation to every sector, and powering major economic and scientific breakthroughs, high performance computing (HPC) is crucial to tackle the challenges of today and tomorrow. Read more…

At ISC – Goh on Go: Humans Can’t Scale, the Data-Centric Learning Machine Can

June 22, 2017

I've seen the future this week at ISC, it’s on display in prototype or Powerpoint form, and it’s going to dumbfound you. The future is an AI neural network designed to emulate and compete with the human brain. In thi Read more…

By Doug Black

Cray Brings AI and HPC Together on Flagship Supers

June 20, 2017

Cray took one more step toward the convergence of big data and high performance computing (HPC) today when it announced that it’s adding a full suite of big data and artificial intelligence software to its top-of-the-l Read more…

By Alex Woodie

AMD Charges Back into the Datacenter and HPC Workflows with EPYC Processor

June 20, 2017

AMD is charging back into the enterprise datacenter and select HPC workflows with its new EPYC 7000 processor line, code-named Naples, announced today at a “global” launch event in Austin TX. In many ways it was a fu Read more…

By John Russell

Hyperion: Deep Learning, AI Helping Drive Healthy HPC Industry Growth

June 20, 2017

To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it, analysts and journalists want to report on it. Deep learni Read more…

By Doug Black

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Tsinghua Crowned Eight-Time Student Cluster Champions at ISC

June 22, 2017

Always a hard-fought competition, the Student Cluster Competition awards were announced Wednesday, June 21, at the ISC High Performance Conference 2017. Amid wh Read more…

By Kim McMahon

GPUs, Power9, Figure Prominently in IBM’s Bet on Weather Forecasting

June 22, 2017

IBM jumped into the weather forecasting business roughly a year and a half ago by purchasing The Weather Company. This week at ISC 2017, Big Blue rolled out pla Read more…

By John Russell

Intersect 360 at ISC: HPC Industry at $44B by 2021

June 22, 2017

The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale Read more…

By Doug Black

At ISC – Goh on Go: Humans Can’t Scale, the Data-Centric Learning Machine Can

June 22, 2017

I've seen the future this week at ISC, it’s on display in prototype or Powerpoint form, and it’s going to dumbfound you. The future is an AI neural network Read more…

By Doug Black

Cray Brings AI and HPC Together on Flagship Supers

June 20, 2017

Cray took one more step toward the convergence of big data and high performance computing (HPC) today when it announced that it’s adding a full suite of big d Read more…

By Alex Woodie

AMD Charges Back into the Datacenter and HPC Workflows with EPYC Processor

June 20, 2017

AMD is charging back into the enterprise datacenter and select HPC workflows with its new EPYC 7000 processor line, code-named Naples, announced today at a “g Read more…

By John Russell

Hyperion: Deep Learning, AI Helping Drive Healthy HPC Industry Growth

June 20, 2017

To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it Read more…

By Doug Black

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of “quantum supremacy,” researchers are stretching the limits of today’s most advanced supercomputers. Read more…

By Tiffany Trader

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

Knights Landing Processor with Omni-Path Makes Cloud Debut

April 18, 2017

HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi "Knights Landing" processors. The infrastructure is based on the 68-core Intel Knights Landing processor with integrated Omni-Path fabric (the 7250F Xeon Phi). Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This