LLNL’s Hackathoners put Coding Skills to the Test

August 23, 2019

August 23, 2019 — College students are used to pulling all-nighters. For Lawrence Livermore National Laboratory summer intern Amar Saini, a recent graduate of the University of California, Merced, LLNL’s Summer Hackathon was a 24-hour, caffeine-fueled marathon of coding, diagramming and problem solving.

Although Hackathon participants aren’t required to stay overnight and are strongly encouraged to get a good night’s sleep, Saini and his team burned the midnight oil, toiling over a machine learning project involving training an algorithm on a large dataset of car imagery to both recognize the cars and allow a user to quickly change the cars’ colors in a picture or video, without altering the background or the cars’ structures.

The Summer Hackathon recently took place at LLNL. Image courtesy of Randy Wong/LLNL.

The team began their day in the Lab’s High Performance Computing Innovation Center (HPCIC) on Aug. 1 along with dozens of fellow hackers, working until the building closed at midnight. Saini and teammate Luis Gutierrez then moved operations to a local supermarket and, finding no work areas there, to a coffee shop until about 2 a.m. With their laptop batteries dying, they went off in search of power outlets, first at the Livermore Casino and then the Lab’s West Cafeteria, which they discovered was open 24 hours. They returned to the HPCIC at around 6 a.m., where they continued toy type away feverishly on their laptops, finishing their slides and videos just minutes before the presentations started.

“We learned a lot about the kind of hardware and software we use at the labs, specifically about the cluster that we use for deep learning, as me and Luis are both new hires learning on-the-go,” Saini said. “This hackathon definitely put our skills to the test.”

Saini was one of more than 100 people who signed up for the Summer Hackathon, about a quarter of whom were Summer Scholar students. Participants selected their projects from about 50 options that ran the gamut from programmatic work to experimental tinkering, working either individually or in teams. Organizers do allow participants to spend all night in Bldg. 453 if they want to, and although most did leave in the late evening to get some shut-eye, some, like Saini and Gutierrez, chose to charge right on through, pausing only for coffee or bathroom breaks and a late dinner.

The hackathon’s focused environment allows Lab employees and student interns to make unique breakthroughs and work on projects they either haven’t had time for or have been of low priority in their day jobs, organizers said. It’s an opportunity that developers often call “scratching the itch,” said Geoff Cleary, a software development team lead in Livermore Computing and hackathon co-organizer.

“This is a great place to try out new technologies, so people are trying out new techniques and frameworks and languages that don’t enjoy popular use here on site yet but might be based on the successes and failures they see today,” Cleary said. “There’s something about being in this space, away from the distractions of email, meetings and (chat) interruptions that really engenders a certain unique focus on the project at hand. There’s also a freewheeling nature of trying new things and attacking things from multiple angles…During an event like this you can turn to it, face it, take care of it and enjoy the benefits of whatever you come up with an ongoing basis.”

Hackathon participants also are encouraged to present the results of their projects. The presentations are an opportunity for participants to learn from others’ successes and failures and are the students’ best chance to affect rank-and-file Lab employees with results and new ideas, organizers said.

“I think people learn even more from what didn’t go well,” Cleary said. “One of the biggest benefits that comes out of the presentations is it spawns further collaborations down the road.”

The Lab’s hackathon events, held three times a year, aren’t just fun and games, according to organizers. They’ve grown to attract buy-in from many Lab organizations and are led by employees in the Computing Directorate. Hackathons have impacted LC’s mission, bleeding into Laboratory Directed Research and Development (LDRD) projects, Idea Days and even programmatic projects, Cleary said.

LLNL computer scientist and Division Leader for the High Performance Computer (HPC) Center Becky Springmeyer kicked off this summer’s event by speaking about how it has become a hallmark of the Lab’s commitment to collaboration, highlighting the importance of the event to the Computing Directorate. About one-third of Livermore Computing has participated in past hackathons, Springmeyer said, and not only have most of the Computing divisions participated, but past teams have included engineers and mathematicians from other directorates as well.

“It’s been proven that this is an inspirational activity,” Springmeyer said. “It spurs innovation, it increases networking and collaboration, people are very creative. In fact, you get some of the same benefits that you get from sending people away to a conference. They come back renewed, so it was recognized fairly early on that it was something we wanted and needed to support.”

The summer hackathons are particularly special, organizers explained, because summer interns can work alongside Lab mentors, bringing their fresh perspective, positivity and willingness to try different things, said Gary Laguna, a deputy division leader in the Lab’s Applications, Simulations and Quality (ASQ) Division.

“It’s a good recruiting strategy but it’s also good for branding,” Laguna said. “It’s a benefit to the Lab because it helps the perception of the Lab, they can go back to their campuses and tell their friends about it. The more we can spread the word that the Lab participates in this sort of culture is a benefit for hiring and retention.”

Laguna, who has attended all 21 hackathons in some form or fashion, said the events have seen increasing participation over the years, and have been successful in allowing employees to tap into their creativity, meet new people and see the employees they work with in a different environment. It’s also enhanced employee development in ASQ, particularly regarding team building, he said.

Hackathons are ingrained in Silicon Valley, and many of them are highly competitive. LLNL’s event is a bit more laid back, participants said, with the primary emphasis on learning and trying new things and distilling that learning experience to share it with the larger group. One group of National Ignition Facility (NIF) summer interns worked on a project combining Raspberry Pi mini-computers, machine learning and a streaming camera to identify objects and images using computer vision and image classification techniques. The results would be displayed on an LED screen on the devices.

It was the first time that NIF software engineering interns Mira Welner of UC Davis and her teammate Arvind Ramaswami of Georgia Tech had worked with Raspberry Pis. Welner who described herself as a “code adrenaline junkie,” said she’d been to several major league hackathons held on college campuses. where overcaffeinated participants typically stay up all night vying for prizes and tech company swag. She planned to stay up late for LLNL’s Hackathon, but not for the whole 24 hours.

“I’m honestly here for the adrenaline high,” she said. “I love hackathons for that reason…Typically there’s a lot of excitement and crunch, and you write some pretty terrible code, but it does what it does. The pinnacle of the Silicon Valley culture is going on all out on something and seeing what you can throw together. Because there’s a time crunch, that increases it, but I think some of my best work has been during these kinds of events.”

“In a hackathon there’s not really an obligation to do something, so that really brings out a creative aspect,” Ramaswami explained. “You’re open to other ideas and you can zone in on what you’re interested in. I’m here for fun and to explore something new.”

The fresh perspectives and influx of novel ideas that percolate throughout the Summer Hackathon benefits not only new interns, but also longtime Lab employees, organizers said.

Jessica Mauvais, a computer scientist in Global Security, has spent more than 20 years at the Lab. A hackathon veteran, Mauvais chose a data analysis project in biochemistry, normally a low priority for her on regular workdays, and an area she has been unable to work on with her current project.

“Most of the time I try to pick some area that I didn’t know before, and just be away from the office for a day to learn something totally new,” she said.
Tim Bender, a software developer in Global Security, has attended many hackathons at the Lab, working through the night for the first few of them. He spent this summer’s edition working on an annotation tool for machine learning applications, tied to his day-to-day job, and said the hackathon is a valuable opportunity to try out new ideas.

“During the course of a workday we think of different ideas that we would like to try out for the projects we’re working on, but a lot of the times you’re really focused on having some progress to report for the next status meeting or hitting milestones,” Bender said. “Having this day is a good opportunity to explore… It’s good for employee growth and making sure we’re keeping up with the latest technology changes.”

The next LLNL hackathon will be held Oct. 24-25.


Source: Lawrence Livermore National Laboratory 

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