Ashley Barker Ascends to Deputy Director Role in ORNL’s Pioneering Supercomputer Project

May 25, 2023

May 25, 2023 — At the National Center for Computational Sciences, Ashley Barker enjoys one of the least complicated–sounding job titles at the Department of Energy’s Oak Ridge National Laboratory: section head of operations. But within that seemingly ordinary designation lurks a multitude of demanding roles as she oversees the complete user experience for NCCS computer systems.

Ashley Barker. Credit: Carlos Jones/ORNL.

And now, with a new title addendum — deputy director of ORNL’s recently announced next-generation supercomputer project, OLCF-6 — Barker’s duties are fast becoming ever more involved. But that’s a good thing for both Barker and the NCCS.

“I really enjoy working on collaborative and complex projects,” Barker said. “I’m a planner at heart and am excited about the opportunity to take on this role that will help me have a bigger impact on this incredible organization that I’ve been a part of for many years.”

Barker’s main job has already had a big impact — and it would keep most people working overtime daily. Her staff of 35 in the NCCS Operations Section is divided into four groups that cover a lot of territory: Software Services Development, which develops and maintains large software applications and services; System Acceptance and User Environment, which ensures the functionality, performance, and usability of new NCCS systems; User Assistance, which provides technical support, training, and documentation to users; and User Access, Outreach, and Communications, which showcases NCCS capabilities and user research accomplishments.

With more than 2,000 NCCS users around the world — from ORNL and other government agencies to computational scientists in academia and industry — Barker stays quite busy making sure they have the tools and know-how they need to conduct groundbreaking science.

“My goal is to make the user experience as good as I can,” Barker said. “At the end of the day, when I receive an email from someone who’s like, ‘Thank you, I’m so appreciative of your team’s help,’ that for me is one of the most rewarding things that can happen in my day job — knowing that we hit the mark.”

Barker’s career in high-performance computing has strayed far afield from her original intention of becoming an English teacher. As an English major at the University of Tennessee in the early 1990s, she took a part-time job in the university’s IT department. She started out as a student assistant to the director — but soon found herself in the thick of helping to manage operations for the short-staffed unit.

“The internet was just starting to become prevalent on campus, so the university created a network services division to go out and outfit all the offices at the university with the necessary equipment to connect to the network. At that time, you actually had to add Ethernet cards to computers and printers to get them to connect to the network — they didn’t come that way out of the box,” Barker said. “We were going to offices and pulling cables through attics and outfitting equipment rooms with network gear.”

After graduating from UT, she was offered a full-time job managing the IT department’s help desk, which supported 26,000 students across Tennessee. In 2008, she applied for a group leader position in the User Assistance Group at the Oak Ridge Leadership Computing Facility, a DOE Office of Science user facility that’s part of the NCCS at ORNL. This job launched her into another new career trajectory: HPC.

Although user support might sound a lot like user assistance, Barker faced a new world of responsibilities at the OLCF that went far beyond ensuring routers were connected and students and faculty of the university could use their computing resources.

“It was very much a shift for me from a career perspective — I didn’t have an HPC background. I had a lot to learn, but luckily the organization took a chance on me, and here I am,” said Barker, who was promoted to lead the Operations Section in 2020. “The way I think about it, Operations is here to ensure that the systems — both compute and data — the documentation, the websites and the training are the best that they can be for the users of our facility.”

That goal encompasses a lot of details to track and is accomplished by the Operations Section’s four complementary groups. Each has a different focus, but they work together to provide the best possible user experience, whether it’s training or it’s problem-solving.

“Almost nothing is done inside a single group — it takes a village,” Barker said. “The team of people I get to work with is phenomenal. I have some of the most outstanding people from both their technical prowess and their artistic prowess — we cover a lot of different capabilities. But they’re also just incredible people who believe in what we’re doing and contribute in any way that they can.”

As the deputy director of OLCF-6, Barker will support project director Matt Sieger with procuring and deploying the OLCF’s next supercomputer system. The choices the OLCF-6 team make for the system’s architecture, hardware vendors, power and cooling infrastructure, and more could set the direction for what supercomputing looks like in the next decade.

Barker will bring her multitasking skills to the multiyear project, work with OLCF project teams throughout the process, and track their progress in terms of schedule, scope, and budget.

“I’ve been part of the OLCF projects to procure and deploy systems such as Titan, Summit and more recently Frontier. These projects take many years to plan and execute and involve many people across organizations with vastly different expertise,” Barker said. “I’ve had the opportunity to be mentored by and learn from incredible leaders, such as Buddy Bland, Kathlyn Boudwin, Justin Whitt, Terri Quinn, Katie Antypas and Susan Coghlan, who have led these vastly complex projects for DOE. And as a longtime user-support advocate, I plan to lend my expertise to help ensure we deliver a system that is optimized for our current and future users.”

UT-Battelle manages ORNL for DOE’s Office of Science, the single largest supporter of basic research in the physical sciences in the United States. DOE’s Office of Science is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science.


Source: ORNL

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!

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…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t 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 of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

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…

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…

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…

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…

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…

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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire