CLOUDFLOW: COMPUTATIONAL CLOUD SERVICES AND WORKFLOWS FOR AGILE ENGINEERING CURRENT SUCCESS STORIES, NEW APPLICATION EXPERIMENTS & OPEN CALLS
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1 CLOUDFLOW: COMPUTATIONAL CLOUD SERVICES AND WORKFLOWS FOR AGILE ENGINEERING CURRENT SUCCESS STORIES, NEW APPLICATION EXPERIMENTS & OPEN CALLS André Stork, CloudFlow Co-ordinator Fraunhofer-Institut für Graphische Datenverarbeitung IGD Fraunhoferstr Darmstadt info@eu-cloudflow.eu
2 IDEA Cloud Computing CAD Systems Work Flow CAM CFD
3 IDEA Cloud Computing CAD Systems Work Flow CAM CFD
4 CLOUDFLOW n Objectives n support engineering workflows n enable design, engineering and manufacturing of complex products n develop CloudFlow Infrastructure based on standards n run 3 waves of experiments n exploit via CloudFlow Portal and CloudFlow Competence Center CAD CFD Systems CAM PLM QA HPC
5 3 WAVES OF EXPERIMENTS : 2 nd Open Call
6 PARTNERS IN WAVE 1 n End user: Stellba Hydro n Water turbine maintenance, repair and overhaul (MRO) n German SME interested in n designing n simulating n flow, systems, machining n assuring quality and managing data n Representative engineering company CAD CFD Systems CAM PLM QA HPC
7 PARTNERS IN WAVE 1 n End user: Stellba Hydro n Wish to use these functionality Cloudbased for n Faster time-to-market n Better products CAD n More cost-efficient development CFD Systems CAM n Leveraging HPC resources for n More complex physical-based simulation n Higher spatio-temporal resolution n Variant simulation PLM HPC QA
8 PARTNERS IN WAVE 1 n Independent SW vendors n Missler (CAD, CAM) n Numeca (CFD) n Systems sim. (ITI) n PLM (Jotne) n Research n SINTEF (QA) CAD CFD Systems CAM PLM QA n 4 European ISV SMEs to cloudify their solution HPC
9 PARTNERS IN WAVE 1 CAD CFD Systems n HPC Center: Arctur n European SME PLM n to provide the new SW tools via the CloudFlow Portal HPC CAM QA
10 PARTNERS IN WAVE 1 n User requirements analysis and evaluation n University of Nottingham n Business modelling n CARSA n Infrastructure CAD CFD Systems n SINTEF n DFKI PLM n Fraunhofer HPC CAM QA
11 6 EXPERIMENTS IN WAVE 1 n Systems simulation n Safe water power plants n CAD n Designing turbine blades faster n PLM n Efficiently manage data n CFD CAD CFD Systems CAM n Generating more green energy n CAM n Find optimum machining paths n Point clouds vs CAD comparison n Ensure product quality PLM QA HPC
12 WHAT WE ACHIEVED IMPACTS FROM CLOUDFLOW (selected) Process. SME User Impact SME Provider Impact Design From 8 hours to 20 min. New "Plug-in" software PLM 25% improvements Growth in software sales. Efficiency optimization Machine Simulation Safety Analysis QA 3D Scanning Factor of 30 times Almost 70% reduction Reduce 10k per project Factor of 5 times New CFD software New employments New Workflow software New employments JOB OPENINGS
13 2 ND WAVE OF EXPERIMENTS started 1. Feb. 2015
14 2ND WAVE OF EXPERIMENTS n 7 additional application experiments n Electronic Design Automation (EDA) n Lighting Systems (Automotive) n Biomass Boilers (Energy) n Bio-reactors (chemical / pharma industries) n Plant simulation n Steel structures (AEC) n Welding (automotive) n Compressor design (mechanical engineering)
15 2ND WAVE OF EXPERIMENTS n 18 new partners incl. 7 new end users involved in 7 additional application experiments
16 HOW WE TAKE IT FURTHER n Sustainability, Exploitation and Expansion n evolution from IaaS to SaaS n new clients all over EU with long term prospects n new software partners, new tools and solutions n new expertise, new industry domains n the CloudFlow Competence Center (CF CC) n the CloudFlow Portal and integrated services
17 2 ND OPEN CALL n : 2 nd Open Call : closing date
18 2 ND OPEN CALL n seeks to increase the number of partners and Application Experiments n Application Experiments 1 Mio. available n shall be rooted in computational technology for manufacturing and engineering industries, preferably SMEs giving affordable access to Cloud technology n are expected to extend the CloudFlow infrastructure and to address workflows along the value chain in and across companies n Priority on innovative product development and products, such as mechatronic systems, including, e.g., multi-domain simulation (mechanics, electronics, software, fluid dynamics, acoustics, etc.)
19 2 ND OPEN CALL n Important documents for download n Announcement of 2nd Open Call for CloudFlow n Guide for Applicants (GfA) n Short Technical Description of the CloudFlow Infrastructure n CloudFlow Open Call 2 for Application Experiments n Proposal Template for Open Call 2 n
20 2 ND OPEN CALL: PROPOSAL TEMPLATE n Importance of Industrial Relevance (Section 1) n Which product or process is to be simulated or optimized? n What is the duration and cost of the corresponding design/ engineering task? n Which software is to be used/cloudified on an HPC-resource? n Which benefits are intended to be achieved for the end user(s)? n Please quantify in terms of: n Product innovation, Cost savings, Time reduction [engineering hours / engineering duration / compute time / compute duration], Product/process quality improvements, Job creation
21 2 ND OPEN CALL: PROPOSAL TEMPLATE (CONT D) n Importance of Industrial Relevance (Section 1) n In which market is the above product positioned? What is the market size and share? What is the expected growth of your market share given that the above benefits are achieved in a 1 to 3 years perspective? Please characterize potential further market segments that you want to address with the results in a similar way. n Similar questions for the ISV n Discussion of technical and economic aspects n technical/economic impact on the CloudFlow infrastructure
22 2 ND OPEN CALL n Webinar: 28th July, at 11am to 12am CET. n n Don t miss the chance to gain more insight into the recently launched Open Call. Learn how to participate in this third wave of experiments and how to benefit from the consortium. n If you have any further questions, do not hesitate to contact us: n info@eu-cloudflow.eu
23 THANK YOU! André Stork, CloudFlow Co-ordinator Fraunhofer-Institut für Graphische Datenverarbeitung IGD Fraunhoferstr Darmstadt info@eu-cloudflow.eu
CLOUDFLOW: COMPUTATIONAL CLOUD SERVICES AND WORKFLOWS FOR AGILE ENGINEERING
CLOUDFLOW: COMPUTATIONAL CLOUD SERVICES AND WORKFLOWS FOR AGILE ENGINEERING André Stork, CloudFlow Co-ordinator Fraunhofer Institut für Graphische Datenverarbeitung IGD Fraunhoferstr. 5 64283 Darmstadt
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