Location and Time
German House, 871 United Nations Plaza, New York, NY 10017, USA
(1st Ave between 48 and 49th Street), March 7, 2024, 12:30pm – 5pm
Motivation and scope
An increasingly important stream of Operations Research (OR) is dedicated to solving computationally intensive problems with parallel algorithms across a wide range of scientific challenges (e.g., NP-hard optimization problems, simulations, data-driven parameterization of algorithms) and application domains (e.g., transportation, traffic, logistics, manufacturing, finance, marketing, energy, health, and social networks, among others). Although parallel computing in OR has a long tradition, it has recently gained momentum and is predicted to continue to do so due to technological advances and innovations such as high-performance computing, GPGPU, quantum computing, and emerging fields based on interfaces with neighboring fields such as data analytics and machine learning.
A variety of scientific (sub)areas of OR and related fields address issues of parallel computing in OR. They are implicitly covered by many journals, conferences and workshops, special interest groups, and (academic, industrial, academic-industrial) projects. However, there are only a few forums that are specifically dedicated to parallel algorithms in OR as their primary focus.
The workshop will focus on the design, implementation, and computational evaluation of parallel algorithms for solving computationally intensive OR problems. Of particular interest are topics related to parallel optimization, high-performance computing, simulation, quantum computing, and the interplay between data science/machine learning and OR.
Addresses and goals
The workshop aims to bring together researchers and practitioners to exchange and develop ideas, share knowledge and experiences, and discuss open problems in parallel computing in OR. It is intended to initiate and foster collaborations and to support community building. For example, it may lead to joint projects, future workshops and conference tracks, joint publications of research papers, research visits, and the establishment of special interest groups in research communities.
- Short presentations (pitches) only
- Informal atmosphere with time for discussion
- No papers or proceedings
- Registration required; attendance is free of charge.
- For more information or to RSVP, please send an email to Guido Schryen (firstname.lastname@example.org) or one of the other organizers.
Prof. Madjid Tavana, Ph.D.
Business Systems & Analytics Department, La Salle University, USA
In cooperation with Campus OWL New York, Dr. Katja Simons, Executive Director
Campus OWL is a network of ﬁve higher education institutions in OstWestfalenLippe (OWL), Germany – Bielefeld University, Paderborn University, Hochschule Bielefeld – University of Applied Sciences and Arts, OWL University of Applied Sciences and Arts, and Detmold University of Music with a liaison office in the German House in New York. https://www.campus-owl.org