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Inspecting Irregular Computation Patterns to Generate Fast Code
Speaker:
Maryam Mehri Dehnavi
, University of Toronto
Date: Wednesday, March 17, 2021
Time: 3:00 PM to 4:00 PM Note: all times are in the Eastern Time Zone
Public: Yes
Location: https://mit.zoom.us/meeting/register/tJUrdOqopj8uHdO4gUyVMnfglOFEqIye_Je0 (Registration required, only if you haven't registered for this series before)
Event Type: Seminar
Room Description:
Host: Julian Shun, MIT CSAIL
Contact: Julian Shun, lindalynch@csail.mit.edu
Relevant URL: http://fast-code.csail.mit.edu/
Speaker URL: https://www.cs.toronto.edu/~mmehride/
Speaker Photo:
None
Reminders to:
fast-code-seminar@lists.csail.mit.edu, seminars@csail.mit.edu, pl@csail.mit.edu, commit@lists.csail.mit.edu
Reminder Subject:
TALK: Inspecting Irregular Computation Patterns to Generate Fast Code
Abstract: Sparse matrix methods are at the heart of many scientific computations and data analytics codes. Sparse matrix kernels often dominate the overall execution time of many simulations. Further, the indirection from indexing and looping over the nonzero elements of a sparse data structure often limits the optimization of such codes. In this talk, I will introduce Sympiler, a domain-specific code generator that transforms computation patterns in sparse matrix methods for high-performance. Specifically, I will show how decoupling symbolic analysis from numerical manipulation will enable the automatic optimization of sparse codes. I will also demonstrate the application of symbolic analysis in accelerating quadratic program solvers.
Bio: Maryam Mehri Dehnavi is an Assistant Professor in the Computer Science department at the University of Toronto and is the Canada Research Chair in parallel and distributed computing. Her research focuses on high-performance computing and domain-specific compiler design. Previously, she was an Assistant Professor at Rutgers University and a postdoctoral researcher at MIT. She received her Ph.D. from McGill University in 2013. Some of her recognitions include the Canada Research Chair award, the Ontario Early Researcher award, and the ACM SRC grand finale prize.
IMPORTANT NOTE FOR ATTENDEES: If you have already registered for the Fast Code Seminars on Zoom since July 27, 2020, please use the Zoom link that you have received. This link will stay the same for subsequent Fast Code seminars this semester. Zoom does not recognize a second registration, and will not send out the link a second time. If you have any problems with registration, please contact lindalynch@csail.mit.edu by 1:30pm on the day of the seminar, so that we can try to resolve it before the seminar begins.
Research Areas:
Algorithms & Theory, Programming Languages & Software
Impact Areas:
Big Data
Created by Julian J. Shun at Saturday, March 13, 2021 at 8:49 PM.