Item

Re-envisioning Mixed-Integer Nonlinear Program Solvers Through GPU-Based Parallel Processing

Drillings, Benjamin
Citations
Altmetric:
License
License
Abstract
GPUs provide massive parallel processing capabilities that can accelerate the solution of mixed-integer nonlinear programs (MINLPs). By adapting and efficiently parallelizing MINLP solution methods for GPU architectures, these approaches have the potential to significantly outperform traditional CPU-based solvers in both speed and scalability.
Description
Date
1/1/2026
Student Status
First Year (Graduating in 2029)
Journal Title
Journal ISSN
Volume Title
Type of presentation
Poster
Collections
UVM Student Research Conference
Show all metadata
Research Projects
Organizational Units
Journal Issue
Citation
URI
https://hdl.handle.net/20.500.14849/10224
DOI
Advisor(s)
Amritanshu Pandey
Department
Program/Major
Electrical Engineering
College/School
College of Engineering and Mathematical Sciences
Organization
Research Category
Engineering
Embedded videos