TU3.A.4
GPU-Accelerated Global Dynamic Model Identification
Daniele Palladino, Joshua Pulsipher, University of Waterloo, Canada
Session:
TU3.A: Computing Frontiers: Global, GPU and Quantum Optimization Oral
Track:
Track
Location:
Murphy
Presentation Time:
Tue, 12 Jan, 17:00 - 17:20 MST (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TU3.A
TU3.A.1: Domain-Extended Multivariate McCormick Relaxations
Sahand Partash, Kamil A. Khan, McMaster University, Canada
TU3.A.2: IMPROVED GPU-PARALLELIZED BATCHED LP SOLVER FOR DETERMINISTIC GLOBAL OPTIMIZATION
Alireza Miraliakbar, Dimitri Alston, Robert Gottlieb, Matthew Stuber, University of Connecticut, United States
TU3.A.3: Harnessing GPU-Acceleration in Large-Scale Process Optimization
Boxun Huang, David Shu, Massachusetts Institute of Technology, United States; Michel Schanen, Mihai Anitescu, Argonne National Laboratory, United States; Rahul Gandhi, Shell, United States; Sungho Shin, Massachusetts Institute of Technology, United States
TU3.A.4: GPU-Accelerated Global Dynamic Model Identification
Daniele Palladino, Joshua Pulsipher, University of Waterloo, Canada
TU3.A.5: Gate-Based Quantum Optimization for Discrete Process Design: A Repair-Aware Benchmark
Yirang Park, David Bernal, Purdue University, United States
TU3.A.6: Privacy-Preserving Coordinated Operation of Multi-Player Industrial Network Using Secure Aggregation
Akshdeep singh Ahluwalia, Can Li, Purdue University, United States; Zachary Wilson, Jeffrey E. Arbogast, Air Liquide, United States
Resources
No resources available.