Agenda
Please note, all times are shown in Central Daylight Time (UTC-5).
Materials from the 2008 course on many-core processors are available for students to review.
Monday, August 10, 2009
8:00 a.m. - 11:00 a.m.
7:30 a.m.
9:00 a.m.
Wen-Mei Hwu and Nady Obeid, University of Illinois
Streaming video is available (Microsoft .asx)
11:00 a.m.
11:50 a.m.
Noon
David Kirk, NVIDIA
Streaming video is available (Microsoft .asx)
1:15 p.m.
1:30 p.m.
Wen-Mei Hwu, University of Illinois, and David Kirk, NVIDIA
Streaming video is available (Microsoft .asx)
2:45 p.m.
3:00 p.m.
Multidisciplinary Panel
Streaming video is available (Microsoft .asx)
4:30 p.m.
4:30 p.m.
EVL only Rapid-fire session
The rapid-fire session is designed to help attendees connect with others with similar domain expertise. Each attendee will have up to 2 minutes to share their name, institutions, and a brief description of their research.
5:00 p.m.
University of Michigan only Reception/Rapid-fire session
The rapid-fire session is designed to help attendees connect with others with similar domain expertise. Each attendee will have up to 2 minutes to share their name, institutions, and a brief description of their research.
Tuesday, August 11, 2009
7:30 a.m.
8:00 a.m.
Wen-Mei Hwu, University of Illinois, and David Kirk, NVIDIA
Streaming video is available (Microsoft .asx)
9:15 a.m.
9:30 a.m.
Wen-Mei Hwu, University of Illinois, and David Kirk, NVIDIA
Streaming video is available (Microsoft .asx)
11:00 a.m.
Noon
Nady Obeid, Xiao-Long Wu and I-Jui "Ray" Sung, University of Illinois
1:30 p.m.
NCSA only Tour (optional)
This optional one-hour tour will feature the GPU cluster students are using during the summer school and a trip through the NCSA's machine room. Space is limited, so please sign up for a tour at the check-in desk.
At all other sites, and for those at NCSA not taking the tour, hands-on lab will continue.
2:45 p.m.
3:00 p.m.
Michael Garland, NVIDIA
Streaming video is available (Microsoft .asx)
4:30 p.m.
5:00 p.m.
NCSA only Reception/Rapid-fire session
The rapid-fire session is designed to help attendees connect with others with similar domain expertise. Each attendee will have up to 2 minutes to share their name, institutions, and a brief description of their research.
Wednesday, August 12, 2009
7:30 a.m.
8:00 a.m.
Wen-Mei Hwu, University of Illinois, and David Kirk, NVIDIA
Streaming video is available (Microsoft .asx)
9:15 a.m.
9:30 a.m.
Wen-Mei Hwu, University of Illinois, and David Kirk, NVIDIA
Streaming video is available (Microsoft .asx)
11:00 a.m.
Noon
Nady Obeid, Xiao-Long Wu and I-Jui "Ray" Sung, University of Illinois
Streaming video is available (Microsoft .asx)
1:30 p.m.
NCSA only Tour (optional)
This optional one-hour tour will feature the GPU cluster students are using during the summer school and a trip through the NCSA's machine room. Space is limited, so please sign up for a tour at the check-in desk.
At all other sites, and for those at NCSA not taking the tour, hands-on lab will continue.
2:45 p.m.
3:00 p.m.
Teaching Staff
Streaming video is available (Microsoft .asx)
4:30 p.m.
Thursday, August 13, 2009
7:30 a.m.
8:00 a.m.
Wen-Mei Hwu, University of Illinois
Streaming video is available (Microsoft .asx)
9:20 a.m.
9:30 a.m.
John Stone, University of Illinois
Streaming video is available (Microsoft .asx)
11:00 a.m.
Noon
Hands-on Lab
Nady Obeid, Xiao-Long Wu and I-Jui "Ray" Sung, University of Illinois
1:30 p.m.
Aaron Shinn, University of Illinois
Streaming video is available (Microsoft .asx)
2:45 p.m.
3:00 p.m.
David Cox, Harvard University
Streaming video is available (Microsoft .asx)
4:30 p.m.
5:00 p.m.
NCSA only Pizza Reception
301 Coordinated Science Lab
Friday, August 14, 2009
7:30 a.m.
8:00 a.m.
Wen-Mei Hwu and Andy Schuh, University of Illinois
Streaming video is available (Microsoft .asx)
9:00 a.m.
Sharing of Plans for Using GPUs in Research
Attendees
Streaming video is available (Microsoft .asx)
10:30 a.m.
10:45 a.m.
Participant Feedback - online survey
11:15 a.m.
Boxed lunches to stay or go
Noon
Video presentations, lessons, and other resources from the first summer school offered by the Virtual School of Computational Science and Engineering, which focused on GPU and multicore processors, are available online.