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COMPUTATIONAL METHODS FOR ENGINEERING TECHNOLOGY
Edited by: B.H.V. Topping and P. Iványi
Digital Manufacturing in the Cloud
The UberCloud, Los Altos, California, United States of America
W. Gentzsch, "Digital Manufacturing in the Cloud", in B.H.V. Topping and P. Iványi, (Editor), "Computational Methods for Engineering Technology", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 2, pp 41-59, 2014. doi:10.4203/csets.35.2
Keywords: cloud computing, high performance computing, private cloud, public cloud, HPC Cloud, HPC as a Service, CAE, security, small and medium enterprises, software licensing, cost model, UberCloud experiment..
The benefits for manufacturers of using high performance technical computing (HPTC) within their design and development processes can be huge; such as better quality products; high return on investment; reducing product failure early in design; and shorten the time to market. Potentially, this leads to increased competitiveness and innovation. Engineers and scientists today have mainly three options running their computer simulations: workstations on their desk, HPTC servers within their firewalls, or, more recently cloud computing. All three options have their benefits and limitations. This review lecture will examine the benefits for manufacturers and scientists of HPTC in the Cloud, and discuss challenges and their main solutions. Finally, the UberCloud CAE Experiment will be presented which provides a platform for engineers and scientists to discover, explore, and understand the end-toend process of accessing and using clouds, and to identify and resolve the roadblocks. The lecture will conclude with several real-life engineering case studies.
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