HPC Center Traces Storage Selection Experience

By Nicole Hemsoth

July 8, 2011

We often hear about national labs and universities settling on a particular vendor for server and storage solutions, but details are usually in short supply when it comes to how vendors stacked up against one another in a head-to-head bidding war.

HP announced last week that the University of Utah’s Center for High Performance Computing (CHPC) moved into its Converged Infrastructure arena by selecting the HP X9320 IBRIX Network Storage System coupled with ProLiant SL160z G6 servers. This announcement, like many others of this ilk was full of the expected hyperbole about scalability and cost, so we followed up with the Brian Haymore, who heads the HPC storage team at CHPC to find out how they evaluated the competing vendors to enhance the center’s Updraft cluster and what ultimately led to their storage decision.

The I/O issue isn’t new for Haymore’s team. He says that this pain point was one they recognized early on but that came into more focus when they would have one or two users running large cases on the clusters, then having everyone else wanting to go to the scratch file system to look at the results they’d run weeks or months ago. He said that at this point the file system would be dead in the water–quite a problem when their people expected interactive responsiveness. He claims they knew the applications were saturating everything the current file system could offer and that it wasn’t a network saturation issue. He remained convinced that NFS just wouldn’t offer the scalability for some applications and that proprietary solutions might offer the only remedy.

The chemical and fuels engineering group at CHPC was running an application that was authored by the Center for the Simulation of Accidental Fires and Explosions. This application is a composite of code contributed from scientists across the country, which fine-tunes its results but is difficult to modify from an I/O perspective. This meant that for Haymore’s team, the storage selection process required more than just looking at price points—they needed a file system that was going to fit with the application without manipulating application itself.

With that in mind, the I/O difficulties were at the heart of performance hitches. During the baseline test, which was against their standard NFS server they were running at about 90 seconds per iteration with about 45 percent of that time being gobbled by I/O. In other words, half of the time that baseline system over the standard NFS server was spent in I/O activity.

Four vendors were vying for a chance to improve the I/O capabilities at CHPC, including Panasas, HP with its IBRIX solution, partners Dell and Terascala with their Lustre offering, and the partnership to provide GPFS from IBM and DDN. Haymore told us that while these were the four main vendors considered, others, including Isilon were evaluated early on. Isilon’s solution would only have been suitable if the application could be changed, which was not a possibility.

Haymore says that Panasas provided no performance increase with their application. His team wanted to dig deeper with the Panasas engineering team to look for the choke point but they were unable to gain any traction with that process. Eventually, he says, this option timed out and they considered other alternatives.

While they were able to realize a tripling in performance with the Dell and Terascala Lustre offering, the excitement over the performance increase was hampered by a troubling series of mysterious I/O errors that affected 50 percent of the runs, even those that used the exact same dataset. As Haymore described, there seemed to be no rhyme or reason—the “file system just puked.”

He says that they found good support from the Dell Terascala team but ultimately they were never able to resolve the error after determining it was not a tuning error and instead was likely a bug that had been filed with the Lustre package that could not be fixed in a reasonable timeframe. Besides, as Haymore noted, aside from these more practical concerns about stability, the very status of the Lustre file system was in question as it was being handed off to Oracle.

In the end, the choice boiled down to the DDN/IBM GPFS and HP’s IBRIX solutions as they both performed almost exactly the same. He says that in this case, the tipping point wasn’t based on pricing alone—rather, he said, the support model was a major factor. As Haymore pointed out, getting your hardware from DDN and software from IBM required two hops for support whereas with HP, it was a single, unified support model—an important factor in his team’s final decision.

Make no mistake, however, price did play a role. While he admits that even at the beginning he expected the HP solution to be quite expensive, he says that they were able to accommodate their budget—the icing on the cake, as far as Haymore was concerned.

On that note, we asked if he went into the closed bidding process thinking that one solution would win out. He says that he would have counted on Lustre as being the champion if he had to make an early pre-benchmarking guess. This is because, as he put it, “Part of us doing our jobs is to keep our finger on the pulse of what the big boys are doing and for us, those big boys are the national labs. Lustre is heavily deployed there but it’s hard to tell if it’s because that’s what won the bid on a price point or if it was really the king of performance….We don’t know why it is always selected. We just figured we’d mimic national labs since it’s been their trend for the last several years.” While he notes that they do use other file systems, he says he’s still surprised at the errors they faced with Lustre.

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!

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…

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 are available off the shelf, a concern raised at many recent 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  — announced its second fund targeting €200 million. The very idea th 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…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its 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