Product category:
Simulation, modelling and validation software
News Release from: Noesis Solutions | Subject: Optimus 5.1
Edited by the Engineeringtalk Editorial
Team on 09 December 2005
Parrallel modules integrate with grid
management
Noesis Solutions has available the parallel modules of Optimus 5.1 integrated with Platform Computing's LSF grid management system.
Noesis Solutions has available the parallel modules of Optimus 5.1 integrated with Platform Computing's LSF grid management system This combination lets organisations use existing software and hardware resources in developing better performing and more reliable products
This article was originally published on Engineeringtalk on 5 Sep 2005 at 8.00am (UK)
Related stories
Design optimisation software upgraded
Noesis Solutions is shipping a new version of its flagship product Optimus.
Upgrade for reliability-based design optimisation
Noesis Solutions is shipping Optimus 5.0, its flagship product for the Process Integration and multidisciplinary design optimisation market.
Software enhances Catia virtual prototyping
Noesis Solutions released Noesis PLM Optimization CAA V5 Based during the recent European Catia Forum (ECF) in Paris.
Several automotive OEMs in Europe and the US have implemented Optimus Parallel on top of their existing Platform LSF networks.
Michael Kaufmann of Audi said: "We were able to demonstrate that it becomes feasible and practical to perform large-scale multi-disciplinary optimisation problems - including crash, NVH, passenger and pedestrian safety applications - with Optimus on Platform LSF-enabled networks".
"It became possible to compress drastically our turn-around times for multi-disciplinary optimisation (MDO)".
Performing optimisation, design of experiment or robust design studies requires the submission of multiple virtual experiment runs.
The parallel modules allow for a transparent submission of these multiple runs on a computer network on which Platform LSF has been installed.
Typically, an MDO process contains a sequence of multiple analysis steps.
The classical approach will sequentially submit the analysis jobs one after the other.
Recent approaches are parallelising and running the complete MDO sequence on multiple CPUs.
This approach often leads to significant idle times on several nodes of the network and under-use of the software resources.
In contrast, deep-level parallelisation assigns individual Platform LSF queues for each analysis code that is part of the total workflow.
Optimus takes care of the dependencies and checks whether results of earlier analyses are available before launching the subsequent analyses.
All this results in a better use of the available software licenses on the network and reduces the total MDO turnaround times.
The parallel modules integrated with Platform LSF 6.1 are available on Windows XP, Linux and Unix platforms.
• Noesis Solutions: contact details and other news
• Email this article to a colleague
• Register for the free Engineeringtalk email newsletter
• Engineeringtalk Home Page

