Panasas Opens New Windows for Wider HPC View

By Nicole Hemsoth

March 11, 2014

Like many other storage companies with roots in HPC, Panasas is leveraging its history in some of the most demanding environments to bridge the technical to commercial computing divide.

According to the company’s Geoffrey Noer, just three years ago, most Panasas customers were in traditional HPC, scattered across a wide number of users in academia and government. That HPC to enterprise leap happened naturally for them, he says, as hybrid scale-out NAS has taken root in more commercial HPC environments where current legacy-based approaches are increasingly overextended and difficult to manage.

Among the new commercial HPC and analytics users Panasas has managed to capture are companies in aerospace, life sciences, and media/entertainment. “These are usually design and simulation workflows,” says Noer, “which by definition is HPC, but it’s for enterprise customers.” These newer users for Panasas are seeking to overcome critical barriers that a truly scale-out architecture can provide, and now, with the today’s release of their updated storage operating system, PanFS 5.5 release, they can provide a single namespace to let users in Windows-heavy enterprise shops tap into Windows and Linux seamlessly. This Microsoft tie-in is the result of two years of development to get the two to play nicely together within their storage environment and to ensure continued certification through Microsoft’s Communication Protocol Program. Such development sounds rather expensive, but Panasas says that there are no plans to change pricing to reflect the extra Microsoft hoop-jumping.

According to Noer, the lengthy process through Microsoft’s channels will be useful for both their traditional HPC center users and the enterprise customers they’re seeking to reach. “If you look at a large cluster, it’s running Linux for the ultra high performance part, but it you look at what an engineer or researcher is running on a workstation, or they’re working with multiple applications on Windows or Linux, this becomes very important.”

Panasas is being realistic about the performance issues related to Windows for commercial HPC customers, noting that even with this PanFS 5.5 update with new windows open, the highest performance workflows stay in a Linux environment. “The current Windows protocol can’t hit the performance levels of our DirectFlow protocol in Linux, but that’s inherent to the protocol itself,” said Noer. The key is that the interoperability is “enterprise-grade” which to Panasas, means that the the handshaking between the Active Directory and the storage system to keep track of users and groups has to be seamless and up to Microsoft standards.

These added Windows to new opportunities are open wider with a scale-out NAS approach that does some interesting things between leveraging SATA and SSDs for the purposes they were designed for via ActiveStor 14, their latest integrated hardware update.

actstordetails

The key to what Panasas is doing on the macro level (with ActiveStor and PanFS in harmony) is taking advantage of an architecture that Noer says was “designed from the ground up for technical computing workloads,” since Panasas was never “hinged on adapting to a legacy architecture.”He points to the widely-used NetApp approach in commercial environments as an example of this legacy problem, pointing to the way that users are pushed into adding filer heads to push performance. While this may work, what users end up with are several storage pools that are difficult to manage. “It’s hard for users to get off that architecture and onto one that’s truly scaleout.”

The goal is to give users a platform that’s free from file server lag or hardware RAID showdowns by instead offering distributed elements that the IO is balanced over, which is managed with DirectFlow. This protocol lets users read and write in parallel across all those different elements instead of using older point-to-point protocols that scale simply by adding more clients.

panasascompare

The other key to what Panasas is doing is by taking metadata requests off the same data path as the large read/writes and cooking them directly onto the “Director” blades, which manage those requests while the real grunt work is saved for the storage blades that handle the big read/write demands. The goal is to allow users to scale their metadata performance separately to avoid that I/O conflict. This isn’t entirely new—Lustre and GPFS manage things essentially the same way, but the difference here, at least according to Noer, is the orchestration at the PanFS level.

“When you look at the HPC space, you had software-only file systems that could provide great performance, but the kind of reliability, high availability and manageability of something fully integrated. Then you also have the top tier storage vendors who don’t have the performance levels needed for HPC, even if they’re able to provide the enterprise-grade features. We’re trying to do all of that in one place,” says Noer.

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