Center for Computing Research
CCR Researcher Jay Lofstead Co-Authors Best Paper at HPDC’19
CCR Researcher Jay Lofstead and his co-authors from the Illinois Institute of Technology have been awarded Best Paper at the recent 2019 ACM International Symposium on High- Performance Parallel and Distributed Computing. Their paper entitled “LABIOS: A Distributed Label-Based I/O System” describes an approach to supporting a wide variety of conflicting I/O workloads under a single storage system. The paper introduces a new data representation called a label, which more clearly describes the contents of data and how it should be delivered to and from the underlying storage system. LABIOS is a new class of storage system that uses data labeling and implements a distributed, fully decoupled, and adaptive I/O platform that is intended to grow in the intersection of High-Performance Computing and Big Data. Each year the HPDC Program Chairs select the Best Paper based on reviews and discussion among the members of the Technical Program Committee. The award is named in memory of Karsten Schwan, a professor at Georgia Tech who made significant and lasting contributions to the field of parallel and distributed computing.
Contact: Lofstead, Gerald Fredrick (Jay)
CCR Researcher Ryan Grant Honored by Queen’s University
CCR Researcher Ryan Grant was recently recognized by his alma mater as one of the top 125 engineering alumni or faculty of Queen’s University during a celebration of the 125thanniversary of the Faculty of Engineering and Applied Science. The award recognizes the achievements of alumni and faculty who are outstanding leaders in their field and represent excellence in engineering. Winners were recognized in March during a ceremony at the university in Kingston, Ontario, Canada. Ryan received his Bachelor of Applied Science, Master of Science in Engineering, and Ph.D. in Computer Engineering from Queen’s, and he is a Principal member of technical staff in the Scalable System Software department with expertise in high-performance interconnect technologies.
Contact: Grant, Ryan
Kokkos User Group Meeting
The Kokkos team is announcing the first Kokkos User Group Meeting to be held in Albuquerque New Mexico, USA April 23rd through 25th. The meeting will give the growing Kokkos community a chance to present progress in adopting Kokkos, exchange experiences, discuss challenges and help set priorities for the future roadmap of Kokkos. Projects are invited to give a 20 minute presentation. Application talks are encouraged to focus on technical and algorithmic challenges in adopting Kokkos and how Kokkos’s capabilities were used to overcome those.
For additional information, send email to firstname.lastname@example.org or visit:
Contact: Trott, Christian Robert
Warren Davis Earns National Honors in Leadership and Technology
Warren Davis, received his award during the conference in Washington, D.C., Feb. 7-9, 2019. The annual meeting recognizes black scientists and engineers and is a program of the national Career Communications Group, which advocates for corporate diversity.
This scientist wants to help you see like a computer.
If you saw all the aquariums that fill Davis’ home, you might think he was a pet lover. But you’d be wrong. Davis just has a passion for recreating things.
“I’ve got a sand bed that does denitrification in a certain layer,” mimicking a natural aquatic ecosystem, Davis said. “I’ve got animals that sift the sand bed so it doesn’t become anoxic. I have things that eat uneaten food particles that get trapped under the rocks.” It’s not a perfect model, he said, but it’s close.
Davis is also adept at recreating natural, mechanical processes to solve problems in engineering. In these cases, he takes natural phenomena — like air flowing over a surface or a person taking a step — and uses machine learning to explain them mathematically with an equation, also called a function. Machine learning can approximate complex processes much faster than they can be numerically solved, which saves companies time and resources if, for example, they want to predict how well a proposed aircraft design would hold up in flight. These savings compound when designers want to simulate multiple iterations.
“That’s what I do. I try to learn the functions that we care about,” Davis said.
He also has taken a leadership role helping Sandia and its business partners incorporate machine learning into their own research and development programs. On multiple occasions, he says, this addition has transformed the way they work, making their research more efficient and agile long after his project with them has ended.
The technique sometimes delivers unexpected solutions, too.
“When I’m able to take a data set and come up with something people haven’t seen before or some underlying function it is truly an amazing, almost magical feeling,” he said.
Davis’ work earned him a Research Leadership award.
Sandia news media contact: Troy Rummler, email@example.com
Paper was published in the Journal of Policy and Complex Systems. L. W. E. Epifanovskaya, K. Lakkaraju, J. Letchford, M. C. Stites, J. C. Reinhardt, and J. Whetzel. Modeling economic interdependence in deterrence using a serious game. Journal on Policy and Complex Systems, 4(SAND-2018-7419J), 2018. http://www.ipsonet.org/publications/open-access/policy-and-complex-systems/policy-and-complex-systems-volume-4-number-2-fall-2018
Contact: Oldfield, Ron A.