Friday, January 14, 2011 - 9:30am - 10:30am
Anne Elster (Norwegian University of Science and Technology (NTNU))
GPUs are now massive floating-point stream processors that offer a source of energy-efficient compute power on our laptops and desktops. Recent development of tools such as CUDA and OpenCL have made it much easier to utilize the computational power these systems offer. However, in order to optimally harness the the power of these GPU-based systems, there still are many challenges to overcome.

Thursday, January 13, 2011 - 8:30am - 9:30am
Bertil Schmidt (Nanyang Technological University)

Friday, January 14, 2011 - 8:30am - 9:30am
David Mayhew (Advanced Micro Devices)
Fusion (the integration of CPU and GPU into a single processing entity) is here. Cloud based software services are here. Large processing clusters are running massively parallel Hadoop programs now. Can large-scale, commercial, enterprise, server solutions be dynamically repurposed to run HPC problem sets? The future of HPC may well be a massive set of virtual machines running in curve of the earth sized data centers.
Subscribe to RSS - GPUs