HPCS (High Performance Computing Symposium) is Canada’s foremost HPC conference – a multidisciplinary conference where computational researchers from all disciplines in industry and academia, computer scientists, and vendors exchange new tools, techniques and interesting results in and for HPC computational research.
The HPCS2010 conference will take place at UofT on June 7-9, with workshops on the two days preceding the symposium.
A PDF poster for the conference can be found here.
Theme: Data Intensive Computing
The theme for this year’s conference is `Data Intensive Computing’. Traditional HPC generates amounts of data that only increase with the capability of the computational platforms, and cutting-edge simulation can require completely new techniques for data storage, access, analysis, and visualization.
But new computational problems are equally or more data intensive. As data-capturing capabilities in experimental sciences exponentiate, world-class experimental facilities form DNA sequencing to astronomical surveys are generating enormous floods of data; new techniques for rapid analysis, mining, and deciding what to archive are needed. In other disciplines, the decreasing cost of digital storage and digitization of media make possible data analysis and mining on unprecedented scales.
Sessions and Topics
We plan to have a primary track of sessions focused on our theme of Data Intensive Computing, and parallel sessions to be determined by the submissions. Canada has no shortage of excellence in research on and in high performance computing, and we look forward to hearing about yours! More details for the procedures for submitting presentations for the poster or oral sessions can be found elsewhere on this site.
On the weekend before the conference, there will be several workshops held, aimed for graduate students, postdocs, or other practitioners looking for focused classes on specific topics. Workshop topics will be announced soon; one will be an introduction to MPI/OpenMP programming for large scale systems.