November 8–9, 2011
Boston University
A research symposium and tutorial, with guests from the Boston area and beyond, presenting the latest work using GPU hardware in scientific computing. Please register!
This event is co-sponsored by the Center for Computational Science and the Hariri Institute for Computing and Computational Science & Engineering.
It is a follow-up event to the GPU@BU workshop held on November 12–13 ’09, with participants from Harvard, MIT, Northeastern, Brown and also NVIDIA Research, and funding from NSF via award OCI 0946441.
Research symposium speakers:
- Richard Brower, Boston University
“Impact of GPU computing for particle physics” - Cris Cecka, Harvard University
“Application of Assembly of Finite Elements on GPU: Real-Time Elastodynamics” - Ben Chandler, Boston University
“Brain-inspired computing” - Michael Clark, currently at Harvard but joining NVIDIA soon
“Accelerating radio astronomy cross-correlation with GPUs” - Jonathan Cohen, NVIDIA
“A credible path to Exascale” - Andrew Corrigan, Naval Research Laboratory
“A hybrid-grid compressible flow solver for large-scale supersonic jet noise simulations on multi-GPU clusters” - Chris Hill, MIT
“Applying GPUs to geoscience” - David Kaeli, Northeastern University
“Developing extensions to OpenCL targeting GPU computing” - Simon Layton, Boston University
“Classical algebraic multigrid using CUDA” - Miriam Leeser, Northeastern University
“Tasks and conduits framework for portable heterogenous architecture applications” - Rio Yokota, formerly at Boston University and recently at KAUST
“Fast Multipole Methods for post-petascale computers”
Organizers
- Lorena Barba
- Richard Brower
- Martin Herbordt
- Claudio Rebbi
Tutorial
An tutorial on CUDA programming for NVIDIA GPUs will be held on November 9, open to all graduate students and postdocs.
Location
- The research symposium on November 8 will be held at the Hariri Institute for Computing and Computational Science and Engineering:
111 Cummington Street MCS-180. - The tutorial on November 9 will be held at the Center for Computational Science:
3 Cummington Street, room 595.