UK Researchers Have Big Plans for Cray Allocation

By Nicole Hemsoth

March 14, 2008

Dr. Lee Margetts, head of Synthetic Environments at the University of Manchester Aerospace Research Institute, has recently been awarded the largest single allocation of CPU on the UK’s HECToR Service. HPCwire contacted him to find out just what he hopes to do with three million processor hours of high-end compute time.

HPCwire: Hello Lee. Well let me start by asking what exactly is HECToR?

Lee Margetts: Hi. Well, HECToR is an acronym that stands for High End Computing Terascale Resource. It’s a UK service that was launched in January this year. The first phase is a Cray XT4 with more than 6,000 dual core processors.

HPCwire: Three million processor hours seems like a lot of time on a Cray machine. What are you going to do with it all?

Margetts: Yes, it is a very generous allocation. In financial terms, we’re talking about 1.7 million pounds sterling or 3.5 million dollars. This is a significant award for the University of Manchester. I’m personally not going to be involved in every stage of the process. I’m just one of a large team of academics and researchers who are using ParaFEM, a general purpose code for parallel finite element analysis that I started to develop with my PhD supervisor nearly 10 years ago.

HPCwire: What are you using the code for?

Margetts: Our main project is titled “Ultrascalable Modelling of Materials with Complex Architectures”. This is led by Dr. Paul Mummery and Dr. Mohammad Sheikh at the University of Manchester. The team are using imaging techniques to create 3D models of real material microstructures. After an image is created, it is converted into a finite element mesh using software from a UK company called Simpleware Ltd.

HPCwire: Sounds fascinating, but what exactly are the application areas?

Margetts: There are many. Where do I start? We’re doing some work with the European Space Agency, looking at the thermo-mechanical properties of carbon foams for spacecraft applications. We’re also looking at the design of woven composites for high temperature and high performance engineering applications. There’s also a project running that’s looking at the lifetime behavior of concrete in nuclear reactor pressure vessels. This work is led by Professor Roger Crouch at the University of Durham. But perhaps the most exciting application area involves dinosaurs.”

HPCwire: HPC and dinosaurs. That sounds like a combination that wouldn’t get many hits in Google!

Margetts: You’d probably find my colleague Dr. Bill Sellers at Manchester, who’s recently published an article stating that T-Rex can run faster than David Beckham. We’ve recently been awarded funding by Microsoft to look into more detail at dinosaur locomotion.

HPCwire: Who’s Beckham, another colleague?

Margetts: Ha ha! No, no! He’s a famous Manchester footballer who wore a skirt, married a pop star and captained the English soccer team. Beckham aside, another guy you’ll come across at Manchester is Dr. Phil Manning. He’s trying to shake up paleontology, but he’s also causing ripples in engineering too.

HPCwire: What’s he up to?

Margetts: He’s using supercomputers and finite elements as interpretive tools in paleontology. He’s recently been over to Boeing in the US, in order to scan 50 cubic feet of rock.

HPCwire: What does he hope to achieve?

Margetts: The rock contains a dinosaur mummy. Much of the soft tissue and skin have been preserved. This is really exciting as it will provide new evidence regarding how dinosaurs really were. We’ll be using this information to carry out detailed biomechanics simulations on HECToR.

HPCwire: So why is this causing ripples in engineering?

Margetts: His work at Boeing caused a lot of gossip. In the end, it gave NASA the idea of scanning the nose cone of the Space Shuttle — to see how the ceramic tiles “flowed” on re-entry.

HPCwire: All these applications are going to use, what did you call it? ParaFEM?

Margetts: Yes, that’s right. But we’re also going to be using robotics software and genetic algorithms to investigate dinosaur locomotion.

HPCwire: And ParaFEM is an academic code?

Margetts: Yes.

HPCwire: So is the code going to be robust enough for HPC users in industry?

Margetts: That’s a very topical question. During the launch of Manchester’s Aerospace Research Institute, a chap from Airbus said to me “Nice work Lee, but is this stuff ever going to see the light of day?”

HPCwire: Exactly.

Margetts: Well, in the UK, getting research funding from the government for code development is unheard of. This means there’s little money to productize academic code. Fortunately for the team, I was awarded funding for commercialization from the University’s technology transfer company, UMIP Ltd.

HPCwire: Has that had any success?

Margetts: We’ve met with a number of high profile end users and engineering software vendors. We’re hoping to strike up some kind of joint development partnership. Although some of the software vendors we’ve met have said that they understand the technology to be infinitely scalable at all stages through the analysis process, it’s not on their product development horizon. Personally I think this kind of response is bad news for HPC hardware vendors. More software applications means a higher demand for machines.

HPCwire: So what’s your vision for the future of HPC? Do you see the market as being limited?

Margetts: Well, I’m going to be a little controversial here. I personally think the term HPC creates a barrier between two communities of computer users, those that use HPC and those that use desktop machines. Since I started working in the field 10 years ago, I’ve noticed a very blatant sense of superiority and elitism when HPC professionals use the phrase. I prefer to use the term “scalable computing.” Software should be designed, right at the beginning, to run on all sizes of computer system. All users really want is their applications to run faster. This applies equally well on desktop machines and HPC systems.

HPCwire: Some people might say that sounds a little impractical.

Margetts: Not at all. Interactive Supercomputing Inc is doing it already. The user works on their laptop and the compute-intensive parts of the analysis are off-loaded to a backend HPC system, a compute server. The HPC system could be anywhere in the world. The user’s not going to give a single thought to where it is. I’m quite excited at the prospect of the paradigm we’re entering, where technical computing is scalable, mobile and interactive.

HPCwire:  Thank you Lee. It was a pleasure talking with you. Best of luck with those three million processor hours.

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