Los Alamos National LaboratoryInformation Science and Technology Institute (ISTI)
Implementing and fostering collaborative research, workforce and program development, and technical exchange

Parallel Computing Summer Research Internship

Creating next-generation leaders in HPC research and applications development

Contacts  

  • Program Co-Lead
  • Robert (Bob) Robey
  • Email
  • Program Co-Lead
  • Joseph Schoonover
  • Email
  • Professional Staff Assistant
  • Nickole Aguilar Garcia
  • (505) 665-3048
  • Email

2017:  Mentors

Bob Robey

Bob Robey

XCP-2:  EULERIAN CODES
Bob Robey is a Research Scientist in the Eulerian Applications group at Los Alamos National Laboratory. He is the lead author of CLAMR mini-app, an open source adaptive mesh refinement shallow water hydrocode. Some of his interests include parallel algorithm research and computational physics methods research. He has over 20 years of experience in shock wave research including the operation of large explosively driven shock tubes and writing compressible fluid dynamics codes. He helped establish the High Performance Computing Center at the University of New Mexico and the Maui High Performance Computing Center. He has been one of the key contributors to the 2011-2014 X Division Summer Workshop program. He is currently Board President of the New Mexico Supercomputing Challenge, a high school and middle school computational modeling program that has been going for 26 years. He is the leader of Venture Crew 20, a high-adventure co-ed program for ages 14 to 21 with activities that include white-water kayaking, rock-climbing, skiing and hiking.

2017 Distinguished Mentor Award Recipient
Hai Ah Nam

Hai Ah Nam

CCS-2: COMPUTATIONAL PHYSICS AND METHODS
Hai Ah is a computational physicist with a background in low-energy nuclear physics and high-performance computing.  She is a co-PI of the Nuclear Structure and Nuclear Reactions DOE INCITE (Innovative and Novel Computational Impact on Theory and Experiment) project, the NUCLEI DOE SciDAC project, and worked for over six years at the Oak Ridge Leadership Computing Facility at ORNL prior to joining LANL.  Hai Ah is team lead for the Trinity Center of Excellence, helping to prepare critical tri-lab ASC codes for Trinity and future architectures.  She enjoys working with students and was chair of the SC Student Cluster Competition (2010, 2015), an intense undergraduate competition to prepare the next generation of HPC scientists.
Kris Garrett

Kris Garrett

CCS-2: COMPUTATIONAL PHYSICS AND METHODS
Kris Garrett is currently a postdoctoral research associate in the computational physics and methods group at Los Alamos National Laboratory. His current research involves method development for solving kinetic transport equations and high performance computing. Before joining Los Alamos National Lab, he worked as a postdoc in the computational and applied mathematics group at Oak Ridge National Laboratory. In 2013, he was awarded a PhD in mathematics from the University of Texas at Arlington. Before this, he worked as a software engineer at Howell Instruments developing test equipment for gas turbines.
Joe Schoonover

Joe Schoonover

CCS-2: COMPUTATIONAL PHYSICS AND METHODS
Joe studied Applied Mathematics and Physics as an undergraduate at Florida State University. Recently, he received a PhD in Geophysical Fluid Dynamics with a primary focus on inviscid flow separation mechanisms for baroclinic jets in rotating systems. This work necessitated the development of software that implements the Discontinuous Galerkin Spectral Element Method. Current interests are split between applications of the DGSEM to geophysical processes and an investigation of vorticity and gravity wave arrest mechanisms its impact on ocean energetics and long term oceanic transport pathways. The latter involves direct communication between small ( less than 1 km ) and large scale ( > 500 km ) fluid disturbances that requires large discrete systems in order to accurately model. This has motivated an investigation into parallelization strategies for the DGSEM.

PARALLEL COMPUTING