Los Alamos National LaboratoryBEE: Build and Execution Environment
A unified software stack to containerize HPC applications

Staff

Meet the development team behind the BEE Project

Tim Randles

Tim Randles has been working in scientific, research and high-performance computing (HPC) for many years, first in the Department of Physics at the Ohio State University, then at the Maui High Performance Computing Center, and most recently as a member of the HPC Division at Los Alamos National Laboratory. His current work is focused on the convergence of the high performance and cloud computing worlds, specifically leveraging cloud computing software and methods to enhance the flexibility and usability of world-class supercomputers.

Steven Anaya

Steven Anaya graduated from the Academy for Technology and the Classics, Santa Fe, New Mexico, where he developed a love for computer programming, mathematics and linguistics. He is pursuing a Bachelor of Science (BS) in Computer Science and Mathematics at New Mexico Tech with an interest in machine learning and numerical methods for computation.

Rusty Davis

Rusty Davis is a staff scientist at Los Alamos National Laboratory in the HPC design group. Rusty is currently working on Charliecloud, a container runtime and build environment; Build and Execution Environment (BEE), a workflow management system; and SaNSA, a node state analysis tool. His primary interest is bridging software engineering and research in order to create great software that facilitates great domain science.

Patricia Grubel

Patricia Grubel is a staff scientist with the Future Architectures and Applications Team at Los Alamos National Laboratory. Her current research interests include container and cloud computing technologies, future architectures, and benchmarking and profiling scientific applications on new architectures.

Qiang Guan

Qiang Guan is an assistant professor at the Department of Computer Science at Kent State University. Previously, he was a computer scientist at Los Alamos National Laboratory. His research interests include HPC resilience, HPC cloud convergence, and deep learning visualization.

Ragini Gupta

Ragini Gupta is a PhD student in computer science at University of Illinois Urbana Champaign, Illinois. She completed her Master’s in Computer Engineering from the American University of Sharjah, Sharjah, UAE, where she worked on a multi-node Hadoop cluster and a variety of big data processing paradigms on Hadoop stack. Her current research spans across big data, Internet of Things (IoT), resource allocation, and scheduling problems in communication domain.

Allen McPherson

Allen McPherson is an associate staff member at Los Alamos National Laboratory. Over his 39-year career (11 years at Boeing, 28 years at LANL), he has worked in scientific visualization, HPC and application co-design. His current technical interest is the application of cloud computing to HPC.

Jake Tronge

Jake Tronge is a graduate student at Kent State University working with Dr. Qiang Guan. Before working on BEE, he worked as a web developer. His research interests include HPC, containerization and computational linguistics.

Quincy Wofford

Quincy Wofford is a National Physical Science Consortium Fellow at Los Alamos National Laboratory. Quincy develops container build systems for the BEE project and supports system and application software for the Darwin testbed cluster at the Lab. He is a primary contributor to Pantheon (pantheon.github.io), an experiment workflow management project within the Applied Computer Science group. Quincy recently graduated with a Master of Science (MS) in Computer Science from the University of New Mexico.

 

Alumni

Paul Bryant

Paul Bryant is currently a research scientist at the New Mexico Consortium. He earned a master’s degree in Computer Science from Kent State University. His technology interests include cloud computing, containerization, and continuous integration efforts in HPC.

Jieyang Chen

Jieyang Chen is a postdoctoral research associate at Oak Ridge National Laboratory. He received a PhD degree in Computer Science from the University of California, Riverside, in 2019.

Li-Ta Lo

Li-Ta Lo is currently a computer scientist with the Data Science at Scale Team at Los Alamos National Laboratory. His research interests include data science, large-scale visualization and analysis, data-parallel programming and software engineering for scientific computing.