CISIM 2010
Michal Harasimiuk
Keynote Title:
Supercomputing at 1/10th of the cost: High Performance Computing with NVIDIA Tesla GPUs
Abstract:
GPU computing is the use of a GPU (graphics processing unit) for
general purpose scientific and engineering computing. The architecture
of a GPU matches well to many scientific computing algorithms where
the same operation is applied to every element of a large data set.
Many algorithms have been ported to GPUs and benefited from
significant increases in performance when compared with
implementations on traditional microprocessors. NVIDIA's next
generation of Tesla GPUs using the Fermi architecture offer all the
features needed for deployment of GPUs in large-scale HPC systems,
including enhanced double-precision performance, hierarchical caches,
ECC protection of data on-chip and off-chip, and high memory
bandwidth.
