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Tutorial Details: Heterogeneous GPU Computing using NVIDIA Tesla, CUDA and Jacket

Date: Monday, April 6, 2009, 10:00 am - 02:00 pm
Location: 402 Walter
Instructor(s): Professor David J. Lilja, , Mark Visconti, NVIDIA, Tauseef Rehman, AccelerEyes, Michael Garland, NVIDIA Research, Drew Vohs, JRTI

Join us for an overview of GPU Computing, the CUDA parallel programming model, and Tesla GPU computing products for computational scientists and researchers.

Experts from NVIDIA and University of Minnesota Fellow David Lilja will talk about their experience using CUDA and ongoing work with GPU computing. In addition, NVIDIA will be present to offer a demonstration of the Tesla Personal Supercomputer. There will also be an introduction and demo of the software Jacket. The Jacket software allows for Matlab code to be run on GP/GPUs. Lunch will be served.

Who should attend?

Professors and researchers working in the life sciences, engineering, finance or medicine who are interested in learning more about high-performance computing using GPU technology from NVIDIA.

Agenda:

10:00 Registration/check in (room 402)

10:10 NVIDIA Tesla Hardware Overview (room 402)

10:30 CUDA Tesla Research Topics - Life Sciences Focus

11:00 NVIDIA Research's Michael Garland - Introduction to using CUDA (room 402)

12:00 Lunch and demos

12:30 UMN's David Lilja's Experience with CUDA and GP/GPU Computing (room 575)

1:00 Jacket Software Overview and Demo (room 575)

1:45 Velocity Micro - Visual Supercomputer Overview (room 575)

1:50 Q&A and hands-on demos (room 575)

NOTE: You must register by Friday, April 3.

Level: Introductory
Prerequisites: None