Winning equation

Hanna Nordwall — Fri, 06 Jun 2025 20:00:26 +0000

Winning equation Hanna Nordwall Fri, 06/06/2025 - 14:00

For this �� Engineering student, Olympic climbing and applied math are both just matters of finding solutions

Colin Duffy is like any other applied math junior, juggling courses in probability, dynamics and chemistry. But as he walks across the quad, his mind isn’t just on acing his midterm — he is also thinking about the 2028 Olympic Summer Games.

"To be on the same boat with LeBron James and Steph Curry was wild.”

A Broomfield native, Duffy is a sport climber and two-time U.S. Olympian.

“I started competing at 8 years old on the youth circuit,” Duffy said. “I had no idea where the journey would go.”

At the 2024 Paris Games, he finished fourth in men’s bouldering and lead combined. Duffy has also twice won the International Federation of Sport Climbing World Youth Championship and is a 10-time USA Climbing Youth National Champion.

Climbing is his first love, but he brings equal passion to math.

“I love the problem-solving nature of it, that the answers are so tangible and you’re finding a definite solution,” he said. “The same approach goes into climbing — finding the individual steps to make it to the top of a climb. Solving a problem in a math class is similar. You put all the parts together to get that answer.”

Extra: �� Engineers in Paris

Val Constien (EnvEngr’19) placed 15th in the women’s 300-meter steeplechase.

Electrical and computer engineering major Noah Bernstein spent 11 weeks as a venue engineering intern with NB��niversal to ensure every Olympics broadcast went off without a hitch.

Read about Noah in Paris

As he progressed in climbing as a teen, earning high marks at state, regional and, eventually, international competitions, Duffy was also challenging himself intellectually.

“My high school had a pretty good math program. I completed courses up to differential equations. I always resonated with the math and engineering side. For college, I wanted to pursue something interesting, even though it’s on the harder side,” he said.

Being a world-class athlete and a college student has been less of a challenge than Duffy anticipated. Climbing competitions are typically during summer months, leaving the rest of the year for coursework. His training regimen is year-round, but it doesn’t require complex routines or coaches.

“Most of the time I just go and climb. I’m not doing training-specific exercises or weightlifting,” he said.

Duffy’s goal after graduation is to become a professional climber. His prowess in competition has already given him a chance to meet and compete with athletes he has admired for years. At the Paris Olympics, that included sharing the stage with idols from all sports.

“It’s an honor. It’s such a grand experience to be among these huge performers,” he said. “This year the opening ceremony was on the Seine River, and to be on the same boat with LeBron James and Steph Curry was wild.”

In some traditional team sports, athletes can be adversarial toward each other. But climbing is different, Duffy said. Climbers are typically not competing against each other, and the sideline atmosphere is one of camaraderie and friendship.

“It’s a very positive environment. Even in the tensest of moments, after it’s over, there’s no hard feelings. We’re not going head to head with each other. It’s us versus the wall,” he said.

For this �� Engineering student, Olympic climbing and applied math are both just matters of finding solutions

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Advancing real-time data compression for supercomputer research

Jeff Zehnder — Thu, 13 Mar 2025 18:29:48 +0000

Advancing real-time data compression for supercomputer research Jeff Zehnder Thu, 03/13/2025 - 12:29

Jeff Zehnder

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research.

A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the University of Colorado Boulder, Doostan is the principal investigator on a $1.2 million Department of Energy project to change how researchers handle the massive amounts of data that result from complex physics problems like modeling turbulence and aerodynamics for air and space craft.

Compressing data is nothing new when it comes to computing, but advances in high- performance systems are now creating so much data that it becomes impossible to store for later analysis.

“Computing power has increased drastically, but moving and storing that data is becoming a bottleneck. We have to reduce the size of the data generated through large scale simulation codes,” Doostan said.

While some scientific analysis of turbulence flows can be completed faster on ever larger high-performance computing platforms, much of the information must be discarded because the scope of the data is too vast to store, making it impossible to conduct later assessments.

“There is a lot of structure and physics embedded in the data that ideally needs to be preserved to study complex flow physics or develop faster models,” Doostan said.

The goal of the grant is to both maintain accuracy of modeling data while decreasing its complexity, and critically, allowing it to be stored by compressing it in-situ, or in real-time as it is created during modeling. This is not currently possible for large-scale models, as existing technology often requires some or the entire modeling simulation be completed before compression can begin.

Joining Doostan on the project is a team of �� Boulder faculty, including Ken Jansen and John Evans, both also from Smead Aerospace, and Stephen Becker from applied math.

The team is focused on development of both traditional and deep neural models for massively parallel implementation of novel linear and non-linear dimensionality reduction techniques. It is a major undertaking, bringing together researchers with a broad range of backgrounds, including computational physics and sciences, discretization, machine learning, linear algebra, and statistics.

“This is a very interdisciplinary problem,” Doostan said. “This is not a problem one person can solve. You need a team.”

For Jansen, whose research focuses on turbulence modeling, an advance in compression could lead to significant progress across the spectrum of high-performance computing.

“This data compression research is critically important to provide access to the dynamics of our simulations,” Jansen said. “As simulations have passed petascale and are now exascale, it has become impractical to write the full solution fields to disk at a sufficient frequency and count, owing to the broad range of spatial and temporal scales of turbulence.”

The group has completed soon-to-be-published research showing strong promise for their approach. They are now working to scale up their algorithms to work at scale on supercomputing platforms like �� Boulder’s Blanca cluster as well as Department of Energy systems.

“There is still a lot to be done, but our early work has shown success and only increases the computational load by less than five percent,” Doostan said.

The three-year award runs through fall 2027. Doostan is hopeful their final product will include publicly available next-generation compression software for general use by all simulation practitioners.

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