CGL Meeting Agenda


Date: April 10, 2019
Location: DC 1331
Time: 11:00
Chair: Christopher Batty
Christopher Batty

1. Acceptance of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour last week:
JC and Craig? - thanks!
Coffee hour this week:
Volunteers?
Coffee hour next week:
Volunteers?

3. Forthcoming

Date: April 17, 2019 April 24, 2019 May 1, 2019 May 8, 2019
Location: DC 1331 11:00 DC 1331 11:00 DC 1331 11:00 DC 1331 11:00
Chair: Bill Cowan
Bill Cowan
Xiang Fang
Xiang Fang
Ryan Goldade
Ryan Goldade
Yu Gu
Yu Gu
Technical Presentation: Huijing Yao
Huijing Yao
Bill Cowan
Bill Cowan
Xiang Fang
Xiang Fang
Ryan Goldade
Ryan Goldade

4. Technical Presentation

Christopher Batty

Christopher Batty
Title : Meshless Voronoi on the GPU
Abstract:
I'll summarize a recent SIGGRAPH Asia paper that very efficiently computes Voronoi diagrams on GPUs, with some restrictions on the input and output.

5. Discussion Items

6. Conferences and Special Journal Issues

7. Seminars and Events

Monday, 8 April 2019, 4:00PM - Computer Science (Systems and Networking), DC 2585
S. Keshav: -- How Blockchains Can Help Smart Cities
 
Tuesday, 9 April 2019, 10:30AM - Computer Science (Data Systems Group), DC 1304
Ian Soboroff: -- Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections
 
Wednesday, 10 April 2019, 9:00AM - Computer Science (Data Systems Group), DC 2310
Haotian Zhang: -- Increasing the Efficiency of High-Recall Information Retrieval
 
Wednesday, 10 April 2019, 3:30PM - Pure Mathematics (Analysis), MC 5417
Clifford Bearden: -- A module version of the weak expectation property
 
Thursday, 11 April 2019, 10:30AM - Computer Science (Artificial Intelligence Lab), DC 1304
Svetlana Obraztsova: -- Voting Games: Trembling Hand Equilibria
 
Thursday, 11 April 2019, 1:30PM - Combinatorics and Optimization (Algebraic Graph Theory), MC 6486
Chris Godsil: -- Erdos-Renyi Graphs
 
Thursday, 11 April 2019, 4:00PM - Combinatorics and Optimization (Continuous Optimization), MC 5417
Steve Vavasis: -- Optimal detection of sparse principal components in high dimension
 

Also see other Math and CS postings.

11. Lab Cleanup

Valid HTML 4.01 Transitional