Building a Marketplace for HPC in the Cloud for Engineers, Scientists and their Service Providers
By and   |  July 31, 2015

Team 166: CFD Study on Flight Aerodynamic
The end-user and CFD expert of this team was again Praveen Bhat, a technology consultant from India INIA, the software Provider was D-adapco with software STAR-CCM+, and the resource provider was NephoScale in California.
This aerodynamics study of an aircraft was performed using CD-adapco’s STAR-CCM+ simulation software on a 40 (virtual) core HPC cloud with Star-CCM+ 9.06 running in the new UberCloud application container. The major aim of this experiment was to demonstrate the dramatic improvements concerning ease of access and use of cloud resources.

The effort for this experiment was 30 hours from the end-user for simulation setup, technical support, reporting and overall management of the project; 2 hours for UberCloud for regular system management to build the Star-CCM+ image, transfer it on to the server, launch the container with the image, monitoring the server etc. Computing resources were used for 600 core-hours in total.

The combination of NephoScale Cloud, UberCloud Containers, and CD-adapco Star-CCM+ helped in speeding up the simulations, completing the project within the stipulated short time frame, and demonstrated the extreme user friendliness of the access and use of the cloud resources.

Team 170: Simulating Car Frontal Impact in the Cloud
The end-user of this team was Stefan Castravete from Caelynx in Romania, software provider was Ulli Göhner from DYNAmore, and resource providers and HPC experts were Thomas Gropp, Alexander Heine, and Christian Unger from CPU 24/7. The model is a full Toyota Yaris Sedan with frontal airbag which is analyzed via Finite Element Method and consists of 1.5 million elements using LS-DYNA.

The effort invested was: for the end user 10 hours simulation setup, technical support, reporting and overall management of the project; UberCloud support 3 hours monitoring & administration of host servers; and 120 core-hours used.

The Cloud resources were a very good fit for performing advanced computational experiments that involve high technical challenges and require high-performance hardware resources to successfully perform the simulation experiments in the cloud.

About the authors
Wolfgang Gentzsch is the President of The UberCloud. He is an industry executive consultant for high performance, technical, and cloud computing and the Chairman of the Intl. ISC Cloud Conference Series. Previously, he was an Advisor to the EU projects DEISA and EUDAT, directed the German Government funded D-Grid Initiative, was a Director of the Open Grid Forum, Managing Director of the North Carolina Supercomputer Center (MCNC), and a member of the US President’s Council on Science and Technology PCAST. In the 90s he founded several HPC and Grid Computing companies, among others Gridware (with its distributed resource and workload management software Grid Engine) acquired by Sun Microsystems and he became Sun’s Senior Director of Grid Computing.

Burak Yenier is the CEO of The UberCloud. He is an expert in the development and management of large-scale, high availability systems, and in many aspects of the cloud delivery model including information security and capacity planning. He has been working on Software as a Service since early 2000 and held management positions in software development and operations in several companies. In his most recent role as the Vice President of Operations Burak managed the multi-site datacenter and digital payment operations of a financial Software as a Service technology company located in Silicon Valley where he built cloud infrastructure and operations from scratch and for scale.

References
[1] Council of Competitiveness, ‘Make’, ‘Reflect’, ‘Reveal’, and ‘Compete’ studies 2010. http://www.compete.org/
[2] Randy Perry, Al Gillen. Demonstrating business value: Selling to your C-level executives. IDC 2007.
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[4] Gartner Predicts Infrastructure Services Will Accelerate Cloud Computing Growth. Forbes Feb. 2013.
http://www.forbes.com/sites/louiscolumbus/2013/02/19/gartner-predicts-infrastructure-services-will-accelerate-cloud-computing-growth/
[5] The Statistics Portal about SaaS:
http://www.statista.com/statistics/273642/worldwide-software-as-a-service-revenue-forecast/
[6] Steve Conway et al. IDC HPC End-User Special Study of Cloud Use in Technical Computing. June 2013.
[7] Jon Peddie. Workstations continue solid growth in Q3 2013.
http://jonpeddie.com/press-releases/details/workstations-continue-solid-growth-pace-in-q313-jon-peddie-research/
[8] Chris Andersen, 2006. The Long Tail. http://www.longtail.com/about.html
[9] The UberCloud Marketplace, https://www.TheUberCloud.com
[10] The UberCloud Experiment, https://www.theubercloud.com/hpc-experiment/
[11] Mike Kavis, 2015. 3 Arguments Against Enterprise SaaS That Fall Flat. http://www.cloudtp.com/2015/01/12/3-arguments-enterprise-saas-fall-flat/
[12] Alert Logic, 21013. https://www.alertlogic.com/resources/security-intelligence/download-cloud-security-report-spring2013/
[13] Wolfgang Gentzsch, 2014. How cost efficient is HPC in the Cloud.
https://www.theubercloud.com/cost/
[14] Cost of a Microsoft Azure HPC Cloud G5 instance in June 2015.
http://azure.microsoft.com/en-us/marketplace/?term=openfoam
[15] The UberCloud Compendium of case studies, 2013 and 2014:
https://www.theubercloud.com/ubercloud-compendium-2013/
https://www.theubercloud.com/ubercloud-compendium-2014/

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