Can’t make it to SC11? Join the NVIDIA GPU Technology Theater from the comfort of your own desk with the Facebook live stream. Watch industry luminaries such as Jack Dongarra (University of Tennessee) and Ian Buck (NVIDIA) talk about how GPUs are accelerating science. Participate in the live discussions with NVIDIANs and fellow viewers about the sessions. A Facebook account is not required to view the live stream presentations.
Join at Facebook or watch right here at GPU Science!
Thursday, November 17th
|Time / PDT||Topic / Presenter / Affiliation|
|10:00-10:30||Designing and Managing GPU Clusters
Dale Southard, NVIDIA
|10:30-11:00||Easy Teraflop to Petascale Supercomputing for Everyone
Rob Farber, Irish Centre for High End Computing
|11:00-11:30||GPGPU Computing with Amazon EC2
Deepak Singh, Amazon
|11:30-12:00||Energy Efficient Computing on Embedded and Mobile Devices
Alex Ramirez, Barcelona Supercomputing Center
|12:00-12:30||Parallel Programming with Thrust
Nathan Bell, NVIDIA
|12:30-13:00||GPU Computing Past, Present and Future
Ian Buck, NVIDIA
|13:00-13:30||CudaDMA Library: Overview and Code Examples
Brucek Khailany, NVIDIA
|13:30-14:00||Extreme Data-Intensive Scientific Computing on GPUs
Alex Szalay, Johns Hopkins University
|14:00-14:30||Patient-Specific Hemodynamics Simulations on GPU Clusters
Massimo Bernaschi, Institute for Applied Computing National Research & Council & Computer Science Dept., University La Sapienza
|14:30-15:00||2x in 4 Weeks: Getting Started with CUDA Directives
Mat Colgrove, The Portland Group
Adobe Flash is required to view the live video stream. Get Flash
The minimum download speed is 768Kbps (or .768Mbps.) Check your speed here – Speedtest.
Your company firewall may be blocking the appropriate port for live video streaming. Run a port test.
There may be issues with Flash on OS X (Lion). Users may have better results using Safari.
Please contact email@example.com if you are experiencing any other issues with the live stream or video playback.