Iterative Stencil Computations

Iterative Stencil Computations ★Stencil algorithms breaking the memory wall★ Iterative stencil computations are ubiquitous in scientific computing and the exponential growth of cores in current processors leads to a bandwidth wall problem where limited off-chip bandwidth severely restricts their performance. In this project we aim at overcoming these problems by new algorithms that scale mainly with the aggregate cache bandwidth rather than the system bandwidth.

GPGPU Scientific Computing

GPGPU Scientific Computing (2004-2005) Scientific simulations have higher accuracy requirements than multimedia processing applications. With the introduction of optimized floating point processing units in graphics processors and reconfigurable hardware these devices are now also attractive as powerful scientific co-processors.