David Camp is a computer systems engineer at Lawrence Berkeley National Laboratory, where he is a member of the Scientific Visualization group. Camp has two years experience at LBNL and sixteen years experience as a software developer in the commercial software industry. Camp's research interests include computer graphics algorithms, visualization and analytics software architecture, distributed visualization algorithms, hybrid-parallelism designs, parallel algorithm techniques, and high performance computing. The goal of his work is to increasing scientific productivity and understanding through increase parallel algorithm performance and data analysis using graphic techniques. Camp received a BS in Computer Science from the University of California, Davis in 1994, a MS in Computer Science from the University of California, Davis in 2000 and a PhD in Computer Science from the University of California, Davis in 2012 under Dr. Kenneth I. Joy.
|Streamline Integration using MPI-Hybrid Parallelism on a Large Multi-Core Architecture|
|Parallel Stream Surface Computation for Large Data Sets|
|Evaluating the Benefits of an Extended Memory Hierarchy for Parallel Streamline Algorithms|