Summer School Leads

Robert Pavel

CCS-7 Applied Computer Science

Robert is a computational scientist with a background in electrical and computer engineering. He has experience in improving the performance of multi-scale physics applications through the use of task based models and NoSQL databases. His interests include evaluating the suitability of modern task based programming models with respect to scientific applications.

Robert is an alumnus of the 2013 and 2014 summer school classes

Julien Loiseau

CCS-7 Applied Computer Science

Julien is a Computer Scientist with a background in High Performance Computing and simulation. He has experience in hybrid architectures and accelerated systems. His postdoctorate work focuses on FleCSPH, a tool for Smoothed Particles Hydrodynamics simulations based on the FleCSI framework from LANL. The intent is to provide an efficient and distributed tree data structure to FleCSI that allows the work to be offloaded to accelerators. The final goal of FleCSPH is to simulate large Astrophysics events.

Julien is an alumnus of the 2016 summer school class

Vinay Ramakrishnaiah

CCS-7 Applied Computer Science

Vinay is a staff scientist with a background in Electrical and Computer Engineering. He has experience in programming heterogeneous computer systems and is also skilled in antenna theory, signal processing, and optimizations. His research interests include revamping the coherent collection process in time-evolving satellite collector geometries, and also developing and evaluating applications for emerging hardware architectures.

Vinay is an alumnus of the 2017 summer school class.

Summer School Mentors

Karen Tsai

CCS-7 Applied Computer Science

Karen is a computational scientist who is interested in understanding, designing and developing application code with the scientists. She is also a computer scientist who is interested in learning and utilizing modern computing tools to optimize algorithms or visualize complex datasets. She got her M.S. in Computational Science, Engineering and Mathematics and B.S in Computer Science at the University of Texas – Austin.

While at LANL during the summer of 2016, Karen joined data scientists from the Data Science at Scale team to work with Galen Gisler of LANL’s Integrated Design & Assessment group to produce visualizations and anaylsis of threats from asteroid ocean impacts. The work is summarized in a paper and video that have been awarded the first place in the SC16 Visualization Showcase. Returning to LANL in the following summer of 2017, she worked with the data scientist from the Data Science at Scale team to develop a pattern detection filter in VTK using Fast Fourier Transform. The serial filter is currently in VTK and the distributed filter is in the development phase. Continuing at LANL in the fall of 2017 as a Post-Master, she has also joined the Code Design team to work on the Ristra Project specifically for FleCSI.

Andrew Reisner

CCS-7 Applied Computer Science

Andrew is a computer scientist with a background in high performance computing and numerical analysis. He has experience in improving the performance and scalability of structured multilevel solvers. His interests include parallel numerical algorithms on emerging architectures and scalable linear solvers.

Andrew is an alumnus of the 2014 summer school class.

Hyun Lim

CCS-2 Computational Physics and Methods

Hyun Lim is postdoctorate research associated in CCS-2 with a background gravitational physics, astrophysics, and applied mathematics. He has experiences developing various multi-physics codes both Eulerian and Lagrangian frames to solve problems in astrophysics and magnetohydrodynamics. He also works on scalable numerical methods including adaptive mesh refinement and linear solvers.

Hyun Lim is an alumnus of the 2016 summer school class.