Q&A: Dr. Valentina Salapura

By Nicole Hemsoth

October 12, 2007

Valentina Salapura next to Blue Gene/PDr. Valentina Salapura is a computer architect in the Exploratory Server Systems group at the IBM T.J. Watson Research Center, where she is helping to define the next generation of computer systems based on chip multiprocessors and parallel processing. She has studied the use of multiprocessor systems in a range of environments, from automotive applications to network processors and supercomputers.

On October 18 at the Grace Hopper Celebration of Women in Computing Conference, she will be delivering a plenary speech titled Next Generation Supercomputers. We got the opportunity to ask her about her upcoming talk and the significance of the conference to women in the field of computer science.

HPCwire: Tell us about the Grace Hopper Conference and why it is important for women?

Salapura: The Grace Hopper Celebration of Women in Computing is an event to bring together the women in the field and to mentor students and colleagues early in their computer science and engineering careers. Like many science and engineering disciplines, it is very male dominated, and it is easy for somebody starting out to feel lonely, isolated and discouraged.

It’s important to build networks for women, to help each other out. I attended a recent talk by Prof. Rosser, the Dean of the Georgia Tech, about challenges women face in science and engineering today, and their unequal position compared to male colleagues. Prof. Rosser found that a woman needs 2.5 times more achievements compared to her male colleagues to reach the same level of recognition. That’s why it’s so important that we support each other and build our own networks.

Take as an example this year’s Turing Award winner. My dear colleague and friend Fran Allen was an early pioneer of parallel programming and she received the Turing Award this year. She was the first woman in history to receive it, after 40 men. Fran was also the first IBM Fellow, and the first female president of the IBM academy, our internal think tank. It’s been long overdue that a woman is recognized in this way.

HPCwire: Can you tell us more about women pioneers in the field of computer science?

Salapura: There are not many women in computer science. In addition to Fran Allan, whom I already talked about, two names stand out: Grace Hopper and Anita Borg.

Grace Hopper was another one of the early pioneers of computing field. She was behind the definition of a programming language that powers the systems in many banks and financial systems. The conference is named in her honor. It is now becoming a yearly event, and growing rapidly. Last year the event had over 1,200 attendees.

Another key figure, especially for women in our field, was Anita Borg. Anita Borg was one a few women PhDs in our field when she graduated from NYU. She made important contributions to system design in her early career at various companies. But her impact goes beyond her technical work. She recognized early on the need attract and advance women in technology. Anita Borg founded the Institute for Women and Technology. She died in 2003. Today the institute carries her name and continues the work. The institute is the organizer of the Grace Hopper Conference.

HPCwire: Tell us about your participation at the conference.

Salapura: I have been involved with the Grace Hopper Conference in the past, helping to organize IBM’s participation. IBM puts great emphasis on workforce diversity and support for underrepresented minorities, and we’re proud to be a longtime sponsor of the conference. Ultimately, encouraging women participation is the best way to ensure that women are adequately represented in the workforce. This year, IBM will be a Platinum Sponsor and we’ll be hosting a reception for the conference on Friday night, which I’m helping to organize.

HPCwire: I gather you are invited to give a plenary speech at the Grace Hopper Conference? What are you talking about?

Salapura: I feel greatly honored by this invitation to give a plenary speech. I’ll be talking about my technical field, computer architecture. As you may know, computer architecture is going through a major industry-wide revolution right now. From faster and faster single processors we’re shifting to multiprocessor systems, where multiple processors share in the work. I have worked on multiprocessors for a long time, so this shift is like a personal victory.

Specifically, I’ll be talking about the next generation of the Blue Gene system. As you may know, Blue Gene is IBM’s top ranked supercomputer and has been the world’s fastest system for several years. This new system means a lot to me personally, since I contributed to virtually every part of the system. I served as the lead for the memory coherence architecture with snoop filters, which ensures that the processors can share data correctly with low overhead, and was also the lead for the performance monitoring unit, which keeps track of how well the computer is working. In addition, I led the bringup work to assemble the initial system prototype once our chip came back from manufacturing, coordinating a large cross site team.

HPCwire: So what’s new with supercomputers?

Salapura: It has changed drastically! In the past, people did not care about power and energy consumption, and the focus was to deliver performance at any price. But computers have become so powerful, and in the process started using so much energy. For example, they needed to construct a special building with special transmission lines for the Earth Simulator supercomputer, which was built in Japan. That was a very impressive computer, which held the number one spot for two years.

To top that system, it was necessary to fundamentally re-think supercomputer design. To build bigger and faster computers, we have to build computers that use less power so we can put more components in the datacenter, the building that houses the computer. Because the computers are generating so much heat, we need to limit the power they consume and hence the heat they generate. Only half of a datacenter’s electricity bill goes to powering the computers. The other half goes for the air conditioning, or the computers would overheat and be damaged.

To show the impact of this, there’s even a new list of top computers. The old list was called Top500, the 500 fastest supercomputers on the planet. The new list will be called Green500, the 500 most energy efficient computers on the planet!

—–

Dr. Salapura has been a technical leader for the Blue Gene program since its inception at the IBM T.J. Watson Research Center. She has contributed to the architecture and implementation of several generations of Blue Gene Systems focusing on multiprocessor interconnect and synchronization and multithreaded, multicore architecture design and evaluation. Most recently, she has been unit lead for several units of Blue Gene/P, as well as a leader of the chip and system bringup effort.

Before joining IBM Research at the IBM T.J. Watson Research Center in 2000, Dr. Salapura was Assistant Professor with the Dept. of Computer Engineering at Technische Universität Wien in Vienna, Austria. Dr. Salapura received a PhD degree in Computer Science from Technische Universität Wien in Vienna, Austria, and MS degrees in Computer Science and Electrical Engineering from the University of Zagreb, Croatia.

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…

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…

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…

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