- NVIDIA GRID
- Quadro VCA
- NVIDIA DRIVE
- About NVIDIA
At ISC 2010, our partners will be featuring NVIDIA® GPU computing solutions that are powering the next wave in HPC. We invite you to attend the featured ISC sessions and visit our partners exhibits to learn more about the latest NVIDIA Tesla™ GPU computing solutions, and how you can enjoy equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption.
TECHNOLOGY BRIEFING FOR SUPERCOMPUTING CENTERS
Presentations from the special industry briefing for Supercomputing Centers on GPUs are now available for download.
Tutorial: GPU Computing
This tutorial is organized with an introduction to the CUDA/OpenCL programming models, algorithm and performance tuning techniques, and a case study. The tutorial is designed to provide you a foundational understanding of many-core parallel programming skills so you're prepared to exploit all the exciting new potential in massively parallel systems for your applications.
Tutorial: LINPACK on Future Manycore & GPU Based Systems
This tutorial will present PLASMA from the perspective of an average user, a potential community contributor of numerical routines, and the designers of PLASMA environment and runtime mechanisms. Similarities and differences between PLASMA and legacy software will be covered, as well as issues related to interactions between PLASMA, user code and other libraries. Future directions will be outlined, including support for GPUs and distributed memory systems.
Birds of a Feather Session 15: Practical HPC Considerations for Advanced CFD
This BOF session will examine the current state of parallel CFD for HPC cluster environments at industry-scale. BOF panel members will comprise parallel CFD experts from commercial CFD software developers ANSYS and CD-adapco, and HPC practitioners from industry who deploy commercial and research-developed CFD application software.
HP-CAST 14 – Worldwide HPC User Group Conference
HPC Advisory Council European Workshop: High Performance Computing with NVIDIA Tesla GPUs
GPU Programming with CUDA Fortran and C and the PGI Accelerator Programming Model
PARTNERS AT ISC 2010