Dynamic Data Structures on the GPU
, UC Davis
Date: Monday, June 01, 2020
Time: 2:00 PM to 3:00 PM Note: all times are in the Eastern Time Zone
Location: https://mit.zoom.us/j/536883569 Password 008943
Event Type: Seminar
Room Description: https://mit.zoom.us/j/536883569 Password 008943
Host: Julian Shun, MIT CSAIL
Contact: Julian Shun, email@example.com
Relevant URL: http://fast-code.csail.mit.edu/
Speaker URL: https://www.ece.ucdavis.edu/~jowens/
firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com
TALK: Dynamic Data Structures on the GPU [Date Changed to June 1]
Abstract: Dynamic data structures allow updates to the data structure without having to rebuild it completely. I'll discuss five dynamic GPU data structures that we designed and built - log-structured merge trees, quotient filters, linked lists and hash tables built atop them, dynamic graphs, and B-trees. I'll talk about principles that we followed in building them and what we learned from the experience.
Bio: John Owens is a professor of electrical and computer engineering at the University of California, Davis, where he leads an amazing group of graduate students in a research program centered around parallel computing on the graphics processing unit (GPU). He earned his PhD from Stanford in 2003 and his BS from UC Berkeley in 1995. In January 2020 he bought his kids MIT sweatshirts from the Coop while helping to run the Mystery Hunt; his kids wear them often.
Algorithms & Theory, Programming Languages & Software
Created by Julian J. Shun at Monday, May 18, 2020 at 4:35 PM.