OCF Supersizes HPC Service

By Tiffany Trader

October 16, 2012

UK-based HPC systems integrator OCF plc just significantly expanded its pay-as-you-go supercomputing service, enCORE. The on-demand system first launched in late 2010 to bring additional computing capacity to the UK’s small-to-medium-sized business community. What started out as a small pilot project has developed into a full-fledged, 8,000-core HPC service.

Lola Cars

Using enCORE – racecar CFD simulation superimposed onto real Le Mans image: Picture courtesy of Lola Cars

Jerry Dixon, the HPC on Demand business development manager at OCF, joined the company just before the initial deployment. He recalls that at the time, the company was aware of the huge potential for a service of this kind, but did not have the capacity required to launch such an undertaking – at least not by themselves. However, via a partnership with the Science and Technology Facilities Council, a UK research council operation, the OCF came to an exclusive arrangement to sell the excess capacity of the Daresbury Laboratory’s IBM iDataplex cluster on essentially a revenue share basis.

The initial cluster was quite small, even by 2010 standards: a 2.5 teraflop System x iDataPlex server cluster. The OCF had a service-level agreement that allowed it to use half of the cycles. Since then, the OCF has been running essentially a pilot service, enabling them to fine-tune the service-level agreement and get a better understanding of what customers are looking for. While the focus has been on small-to-medium sized businesses in the UK, there are also a couple overseas customers.

This month, as part of a newly signed agreement between OCF and the Science and Technology Facilities Council’s Hartree Centre, the service is ramping up to 8,000 cores. It draws its power from a new IBM System x iDataPlex cluster named Blue Wonder, which was installed and configured by OCF in partnership with IBM. With 8,192 Intel Xeon E5 processor cores interconnected with FDR InfiniBand and plugged into a high-speed GPFS file system, the machine is capable of 206.3 teraflops (Linpack). Its 48 TB shared memory capacity makes it the largest shared memory cluster in the UK.

Each of the 512 nodes sports Intel SandyBridge 8-core CPUs with either 36Gb or 128Gb RAM. This is true HPC-as-a-Service; the compute nodes are not virtualized. Service users can also access 48 GPU nodes outfitted with NVIDIA Tesla 2090 GPUs.

The cluster operates with Platform HPC tools, so for customers using Platform LSF, it’s easy to switch their compute jobs to a remote cluster. Users who rely on Sun Grid Engine or other scheduling software need a separate account with OCF. Dixon says that job submissions have gone smoothly, but that OCF is still looking to develop different user interfaces to make it easier to use the enCORE service in a more automated way, over the Internet. Customers can use various open source applications available on enCORE, or load their own apps.

With this additional capacity, OCF and enCORE will be able to satisfy the type of requirements of larger organizations in addition to their current customer base of small and mid-size companies. Dixon recounts the meaningful business benefits enabled by the endeavor. Some customers have no HPC infrastructure available to them in-house and in order to run models and simulations successfully they need to access an HPC cluster. Other customers may own HPC resources but from time to time have peaks in demand or challenging project schedules or have workloads that require significantly more capacity than they have access to. Other clients who own systems outright are pushing up against capacity, datacenter and power limitations and use the service as way to minimize the gap.

One success story in particular stands out in Dixon’s mind: a customer that had the opportunity to bid for a contract to perform wind farm simulations, but did not have the necessary computing power necessary to carry out the work. By working with OCF and using the enCORE service, they were able to put in a successful bid and delivered the work on time and on budget.

While enCORE is officially a public-private partnership – the first one of its kind in the UK – from the customer perspective, this is a commercial service. The entire customer engagement, from sales and marketing right through to service delivery is with OCF. So the customer does not have any exposure whatsoever to the partner institutions – all technical support, requirements or requests come in to the OCF service desk.

But this is still a collaboration, and the cluster operates based on service agreements. Dixon characterized the arrangement as a flexible arrangement, with OCF having access to 8,000 of the 8,192 available cores. The distribution of resources toward commercial endeavors is intentional.

The Hartree Center – where the cluster resides – is a collaboration between the STFC, IBM and other partners, including OCF. The center, launched in 2011 with a £37.5 government investment, has a mandate to help UK businesses harness the power of high-performance computing in order to better compete on the global playing field. Dixon explains that historically the Germans and the French have invested significantly more federal dollars into HPC than Britain has and that’s one reason this project is so important.

“The objective of the Hartree Center,” says Dixon, “is to help customers adopt high-performance computing, optimize codes and build applications in a collaborative framework to help them become more innovative.” By using the latest modeling and simulation technologies, vendors can optimize their research and development process and get products to market more quickly.

Running codes on HPC systems is rarely a simple task, and as part of their services, OCF provides access to HPC experts. They help users resolve issues of compiling code and installing modules. “I think that’s an important distinction from users that try to run HPC simulations on public clouds, like Amazon EC2,” says Dixon, “where you wouldn’t get that level or any level of support of that type. We’ve got a number of notes of thanks from our customers for the support we’ve provided which has allowed them to get up and running very quickly.”

In talking with Dixon, one gets the sense that there is quite the ecosystem of users and potential users who have a need for this kind of HPC capacity. “The range of industries that we’ll be supporting is going to expand quite significantly along with the growth of the cluster,” he says.

Current and would-be customers tend to have a mix of engineering and geoscience codes. The list of possible use cases is quite varied and includes semiconductor design, hydrodynamics, modeling high-speed trains (two trains passing in a tunnel), insurance risk modeling based on natural disasters, financial modeling, and more. BHR, Engys, Actiflow, HR Wallingford, Lola Cars and Renuda are just some of their customers.

Dr. David Kelsall, senior consultant at fluid engineering consultancy, BHR Group, shared his thoughts on using the service as a way to increase user confidence in digital tools. BHR group has operated mostly with physical models and under new leadership is increasing its use of computer modeling and simulation technologies. Kelsall points to a customer who, through an outside agency, has done computer modeling for a massive pumping system and now wants to ensure the validity of the results, so they turned to BHR to create a physical model and to help them get a feel for the pros and cons of each approach.

Kelsall sees other companies straddling the physical/digital divide and views the cloud service as a way to obtain the necessary compute capacity without making a huge capital investment. Kelsall admits that it’s often more difficult for SMEs to access HPC technology, but he says “organizations like ours can provide a bridge between what they want and what’s available.”

Keeping data in the UK was also a sticking point for BHR. Kelsall says that a UK-based service provider is helping them meet data privacy mandates.

OCF, a small company of about 26 employees, has established a significant customer base and a solid reputation over the ten yeas its been in business. While based in the UK, OCF is well-known throughout the HPC community. They are an IBM Premier partner, and an accredited IBM Cloud Service provider. Customers find out about OCF via the IBM organization and community networking as well as through more traditional channels like marketing, trade press, and direct sales activities.

The service is charged on a per-core hour basis, and the website lists “a small annual fee of £350.” Users pay for storage above a half a TB. Dixon says the nice thing about the simple charging model is that it makes it easy to budget and control spend. The per-core charge varies depending on the level of usage, so a heavy user will get a discounted price as per economies of scale.

The revamped service is going through some final configuration and testing, but should be up and running within next week or two.

“We expect to see all sorts of workloads,” says Dixon. “Some customers will use it very regularly because they don’t have their own infrastructure and others will go to the other extreme, and use it only sparingly, and everything in between. One user was a heavy user at first and since then, they’ve only used it several times. But this uneven usage is actually good because it opens up the system for other users and the overall demand levels out.”

This brief (under 5 minute) video shares further details about the Science and Technology Facilities Council at Sci-Tech Daresbury, home of Blue Wonder, the workhorse behind the enCORE service.

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!

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter 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 pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

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…

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…

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…

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…

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…

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