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UberCloud Voice April 2014

UberCloud TechTalk: ANSYS in the Cloud

Flash Dryer Simulation with Hot Gas Used to Evaporate Water from a Solid. ANSYS in the Cloud.
In this one hour free webinar on May 7th, 2014 at 8am Pacific Time, Team 8 members of the UberCloud CAE Experiment will candidly discuss the benefits, challenges, and lessons learned of bringing the end-user’s engineering application to the compute cloud. In this experiment the team worked jointly on a real CFD application – a Flash Dryer Simulation with Hot Gas Used to Evaporate Water from a Solid. Presenters will be: End-user Sam Zakrzewski from FLSmith; Software provider Wim Slagter from ANSYS; and Wolfgang Gentzsch from the UberCloud. Other Team 8 members are: Resource provider Marc Levrier from Bull/Serviware; and Expertise provider Ingo Seipp from Science + Computing AG. Please register here for the Webinar.

Intel GM Raj Hazra on Technical Computing in the Cloud


Intel is in the process of actively transforming the company and go-to-market plan in a direction that takes it from traditional HPC and towards a new technical computing track. One of the key players behind this strategy is Raj Hazra, Vice President and General Manager of Technical Computing at Intel. Already he’s made waves in 2014 with the hiring of former Penguin Computing CEO, Charles Wuischpard as the Vice President of the Data Center Group and General Manager of Workstations and Technical Computing. It will be interesting to see what else Hazra has up his sleeve for 2014. HPCwire caught up with him to ask about his thoughts on the year and the direction of technical computing and HPC in the Cloud (also mentioning the UberCloud Experiment). See his interview at HPCwire here.

The New Data Blending Mandate

data_blenderAn axiom of big data say that, as data volume and complexity grows, it becomes harder for organizations to extract meaning from the data. One solution to this dilemma that is gaining momentum is data blending, which provides a new real-time, analytics-oriented twist on the batch-oriented ETL data integration processes of old.

In his article, Datanami’s managing editor Alex Woodie explains data blending as a concept that’s gaining steam among analytic tool providers because it provides a relatively quick and straightforward way to extract value from multiple data sources and find patterns between them without the time and expense of traditional data warehouse processes. Data blending capability isn’t a cure-all for all big data challenges, and not all types of data are amenable to being blended with others. But there are certain big data use cases that are emerging as clear candidates where data blending makes a lot of sense. Please see the full article here. 

Chris Dagdigian Blog Post on Life Science Storage and Data Management


This is a great piece from Chris about his many years down-to-earth experience at BioTeam in life sciences storage and data management. When examining the number and variety of “terabyte capable” lab instruments combined with the massive amount of biological information available for download via the internet it quickly becomes apparent that we are in an unprecedented era for the life sciences — the sheer amount and variety of data that can be generated or easily acquired by a single researcher or small group of scientists can very quickly swamp even the largest enterprise storage platforms. And this is just the baseline or “input” data! We still need additional compute and storage resources to handle the actual science being done on this data and all of the new files and output produced. In his blog Chris tries successfully to bring structure into the topic, read his whole blog here.

UberCloud presents at HPC Workshop in Cetraro, Italy


UberCloud will participate at this year’s International Advanced Research Workshop on High Performance Computing “From Clouds and Big Data to Exascale and Beyond”, in Cetraro, Calabria/Italy, July 7 – 11, 2014, in beautiful Hotel San Michele. The main aim of this famous biennial workshop is to present and debate advanced topics, open questions, future developments, and challenging applications related to advanced high-performance distributed computing and data systems, encompassing implementations ranging from traditional clusters to warehouse-scale data centers, and with architectures including hybrid, multicore, distributed, and cloud models. Presentations are by invitation only, presented by leading experts in the wider HPC field. More information about the conference and registration can be found here.

Flying with Structural FEA


This insightful article about finite element analysis (FEA) is written by Tony Abbey who teaches live NAFEMS FEA classes in the US, Europe and Asia. He also teaches NAFEMS e-learning classes globally. Tony started in the 1970s in the aerospace industry which is one of the originators of FEA. In this article he describes the early models and methods, global modeling strategy, fatigue and damage tolerance, loads deviation, composites, and new analysis areas like multi-body dynamics analysis and non-linear analysis. See Tony’s full article in Desktop Engineering.

Marine and Offshore CFD Simulation – Hydrodynamics and Wave Impact Analysis

fluids-techtip7-wave-loading-smIn the offshore industry, it is common to analyze hydrodynamics and wave impact using potential flow solvers like ANSYS Aqwa to assess wave loading and buoyancy dynamics. But shipping and offshore engineers who design complex oil platforms, ships and other marine structures also rely on 3-D computational fluid dynamics (CFD) simulation to model and accurately predict: Ship drag, trim & sinkage and dynamic motion in waves; wave loading on offshore structures; green water behavior, which occurs when a large quantity of water accumulates on a ship’s deck as a result of massive waves from storms — and often leads to equipment damage. See the full stories and a few great videos here.

10 iPad Apps for Engineers


With ever growing computing performance of any devices, from Supercomputers to smart phone we will see strongly increasing performance even on the iPad. And applications which are today running efficiently on engineers workstation will run on smart devices in 5 to 10 years. So it is not a surprise that the first – frankly speaking – simple applications now already appear on the iPad. Chitra Sethi, Managing Editor of ASME.org has collected 10 iPad applications for engineers which are already running on the iPad, today. See Chitra’s article and additional readers comments here.

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