Campuses:

CUDA

Wednesday, January 12, 2011 - 9:30am - 10:30am
Jonas Tölke (Ingrain)
We present a very efficient implementation of a multiphase lattice Boltzmann methods (LBM) based on CUDA. This technology delivers significant benefits for predictions of properties in rocks. The simulator on NVIDIA hardware enables us to perform pore scale multi-phase (oil-water-matrix) simulations in natural porous media and to predict important rock properties like absolute permeability, relative permeabilites, and capillary pressure.
Thursday, January 13, 2011 - 11:00am - 12:00pm
Mike Giles (University of Oxford)
Thursday, January 13, 2011 - 8:30am - 9:30am
Bertil Schmidt (Nanyang Technological University)

Monday, January 10, 2011 - 3:00pm - 4:00pm
Miriam Leeser (Northeastern University)
We live in the age of heroic programming for scientific applications on Graphics Processing Units (GPUs). Typically a scientist chooses an application to accelerate and a target platform, and through great effort maps their application to that platform. If they are a true hero, they achieve two or three orders of magnitude speedup for that application and target hardware pair. The effort required includes a deep understanding of the application, its implementation and the target architecture.
Wednesday, January 12, 2011 - 8:30am - 9:30am
Cris Cecka (Stanford University)
We discuss multiple strategies to perform general computations on unstructured grids using a GPU, with specific application to the assembly of systems of equations in finite element methods (FEMs). For each method, we discuss the GPU hardware's limiting resources, optimizations, key data structures, and dependence of the performance with respect to problem size, element size, and GPU hardware generation. These methods are applied to a nonlinear hyperelastic material model to develop a large-scale real-time interactive elastodynamic visualization.
Wednesday, January 5, 2011 - 10:30am - 11:30am
Bjorn Poonen (Massachusetts Institute of Technology)
We show that the p-Selmer group of an elliptic curve is naturally the intersection of two maximal isotropic subspaces in an infinite-dimensional locally compact quadratic space over F_p.
Subscribe to RSS - CUDA