[Ipopt] WebCAST: Parallel Computing and Opportunities in Nonlinear Optimization, Carl Laird

[John Hedengren]

Please join us tomorrow (11 AM Eastern) for a presentation by Carl Laird at
Purdue University. No pre-registration or password is required to join.

Carl Laird
11 Mar 2014, 11 AM Eastern Time
Parallel Computing and Opportunities in Nonlinear Optimization
Announcement: http://apmonitor.com/wiki/uploads/Main/2014_03_Carl_Laird.pdf

Join the WebEx Meeting Here:
https://meetings.webex.com/collabs/meetings/join?uuid=MBK6L1F1NCKLISQQ1PBRQVEC6E-18BV
Audio Connection (optional dial-in)
415-655-0001, Access code: 194 626 705

Upcoming Sessions (with "Add to Calendar" links):
http://apmonitor.com/wiki/index.php/Main/ApplicationWebinars

Abstract:

Nonlinear programming has proven to be an efficient tool for important
large-scale inverse problems like optimization of dynamic systems,
parameter estimation, and decision making under uncertainty. However,
engineering and scientific needs continue to push the boundaries of
existing mathematical programming tools, and problems can become
prohibitively large, often outstripping the capabilities of a single
workstation. Furthermore, computer chip manufacturers are focusing on
parallel computing architectures, and future performance improvements
demand algorithms that are capable of utilizing these modern parallel
architectures. In this short presentation, I will discuss different
architectures for parallel computing, introduce some of the techniques we
use to measure parallel performance, and discuss algorithms that can be
used for parallel solution of nonlinear optimization problems.

Biography:

Carl Laird is an associate professor in the School of Chemical Engineering
at Purdue University. Dr. Laird's research interests include large-scale
nonlinear optimization and parallel scientific computing with applications
in chemical processes, safety systems, water distribution networks, and
public health. He is the recipient of several research and teaching awards,
including the prestigious Wilkinson Prize for Numerical Software based on
his work on IPOPT, the National Science Foundation Faculty Early
Development (CAREER) Award, and the Montague Center for Teaching Excellence
Award. Dr. Laird earned his Ph.D. in Chemical Engineering from Carnegie
Mellon in 2006 and his Bachelor of Science in Chemical Engineering from the
University of Alberta.

Upcoming sessions:

Anshul Agarwal
John Wassick
Supply Chain Optimization in Dow Chemical Mar 25, 2014
11 AM Eastern
Dow Chemical

Krystian Perez
Reduced Order Modeling of Residential Buildings from Smart Meter Data Apr
15, 2014
11 AM Eastern
University of Texas at Austin

3 Minute Speed Networking
Apr 22, 2014
11 AM Eastern
Sign up here:
https://docs.google.com/spreadsheet/ccc?key=0AiFb4B-lVvk-dHNHQXEyaHk0Zk9LNFI3aklxZ1o1YWc&usp=sharing
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://list.coin-or.org/pipermail/ipopt/attachments/20140310/4ea79477/attachment.html>