We are excited to host thirteen talented students in the Summer Internships in Parallel Computational Sciences (SIParCS) program this summer. Chosen from a pool of 91 applicants, this year's students represent schools from across the United States including Bucknell University, Florida International University, and New Mexico State University.
The 2016 project list and the interns who are working on them are as follows:
Computer Vision Techniques for Assessing Differences Between Climate-Model Simulations - Delilah Feng, Xiaoying Pu
Accelerating statistical analysis through parallel computations - Vinay Ramakrishnaiah, Pulong Ma
A Cloud-based Storage System for the real-time collection and display of atmospheric data - Ramesh Baral, Andre Nunes Guerrero, Marjani Peterson
Implementation and design of parallel atmospheric PDE solvers using Radial Basis Functions on many-core CPUs and GPUs - Samuel Elliott
Multi-node Multi-GPU Implementation and Design of parallel atmospheric PDE solvers using Discontinuous Galerkin Method - Pranay Reddy Kommera
Automating Fortran - C Interoperability - Garnet Liu
Efficient Discretization Schemes for Non-Hydrostatic Equations - Francois Hebert
Virtual Reality Development for Google Cardboard - Nihanth Cherukuru
At the end of the summer, interns will present their findings and final products. Presentations will be in the Mesa Lab Main Seminar Room on July 27-29. The schedule will be posted on the SIParCS website in mid-July.
