10:00 AM - 11:00 AM
Hari Krishnan, Lawrence Berkeley National Laboratory
Research Office Building (5700), Room L-204
Computer Science and Mathematics Division Seminar
Email: Cory HauckPhone:
Multi-institutional interdisciplinary domain science teams are increasingly commonplace in modern high performance computing (HPC) environments. Visualization tools, such as VisIt and ParaView, have traditionally focused more on improving scalability, performance, and efficiency of algorithms over enabling ease of use and collaborative functionality that compliments the power of the HPC resources. In addition, visualization tools provide an algorithm-based infrastructure focusing on a diverse set of readers, plots, and operations rather than higher level domain-specific set of capabilities when providing solutions to the scientific community. This strategy yields a higher return on investment, but increases complexity for the user community.
As larger, more diverse teams of scientists become more common place they require applications tuned at providing the most use out of a heavily utilized and resource constrained distributed HPC environment. Standard methods of visualization and data sharing pose significant challenges detracting from users focus on scientific inquiry.
In this presentation I will highlight three new capabilities under development within VisIt to address these needs which enable domain scientists to refocus their efforts on more productive endeavors. These features include tailored visualization using a new PySide/PyQt infrastructure, a new parallel analysis framework supporting Python & R scripting, and a collaboration suite that allows sharing and communicating among a variety of display mediums from mobile devices to visualization clusters. The goal is to enhance the experience of domain scientists by streamlining their work environment, providing easy access to a complex set of resources, and enabling collaborations, sharing, and communication among a diverse team.
About the Speaker
Hari Krishnan graduated with his Ph.D. in computer science and works for the visualization and graphics group as a computer systems engineer at Lawrence Berkeley National Laboratory. His research focuses on scientific visualization on HPC platforms and Many-core architectures. He leads the development effort on several HPC related projects which include research on new visualization methods, optimizing scaling and performance on Cray machines, working on data model optimized I/O libraries and enabling a remote workflow services. He is also an active developer on several major open source projects which include VisIt, NiCE, H5hut, and has developed plugins for Fiji/ImageJ.
If you would like to meet Hari Krishnan, please contact Scott Klasky at firstname.lastname@example.org or Liz Hebert at email@example.com