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UberCloud Voice February 2014

UberCloud Marketplace for HPC as a Service Goes Live

 

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UberCloud is the online community and marketplace where engineers and scientists can discover, try and buy the computing power and expertise on demand they need for their computational and data-intensive tasks.

With the limits of their desktop workstations often unable to provide enough computing power and memory, simulations taking too long, and the number of jobs too small to get quality results, engineers and scientists are looking for additional computing power beyond their desktop workstations. The UberCloud Marketplace provides access to a wide variety of computing providers, software vendors, enabling tools, and independent experts to simplify and ease the search for the most suitable service providers and expertise, out of hundreds that joined UberCloud in the last 18 months. See the complete announcement here.

HPC Trends for 2014

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February 5, 2014 – In this video from the 2014 HPC Advisory Council Stanford HPC & Exascale Conference, Addison Snell from Intersect360 Research presents: HPC Trends for 2014. Based on the latest survey data, Addison Snell discusses the top trends that emerged in 2013, with a look ahead to how the market will continue to evolve in the year ahead. Topics include HPC in the Cloud, Big Data, evolution in processor architectures, and the race to Exascale. See insideHPC video at http://insidehpc.com/2014/02/05/hpc-trends-2014/. Addison Snell discusses HPC in the Cloud especially at minutes 28:00 – 36:00 in this video. Talk back: What are your thoughts about the year ahead of us?

 

Lost in Simulation

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Mixing data governance and standardized processes is the best antidote to a big-data headache. 

Here’s another great article we found for you; published by Kenneth Wong (already) on May 1, 2013 in Desktop Engineering:  Simulation Lifecycle Management (SLM) began as an attempt to clean up the data warehouses. It’s to sort and archive the mounds of data generated from repeated simulation so engineers can, when necessary, retrieve, refer to and consult past exercises for guidance. If simulation’s big-data problem is exacerbated by insufficient process control, the solution is to turn the problem on its head. The experience of Dana, BMW and Mando show that, with proper simulation protocols in place, the data either shrinks to a manageable size, or becomes intelligible for subsequent reuse. Please read the article here.

John Reynders on Building a Cloud-Based Biotech

John ReyndersJohn Reynders has quite the pharma pedigree, having held roles at AstraZeneca, Johnson and Johnson, and Eli Lilly spanning informatics to companion diagnostics to neuroscience biomarkers. Before his turn in pharma, he was part of the team building informatics capability at Celera after the genome was assembled, and before that spent about eight years at Los Alamos National Laboratory.

Last fall, he traded his big pharma hat for the CIO position at Moderna, a privately held biotech based in Cambridge, Ma., focusing on messenger RNA therapeutics. Recently, Reynders sat down with Bio-IT World Editor Allison Proffitt to talk about his vision for the three-year-old company. One that depends heavily on the cloud.  See the interview here.

Co-Design of Exascale Simulation of Combustion in Turbulence (ExaCT)

Jacqueline Chen

Jacqueline H. Chen from Sandia presented this talk at the Stanford HPC Conference. “Co-Design of Exascale Simulation of Combustion in Turbulence (ExaCT). “The mission of co-design within the Center for Exascale Simulation of Combustion in Turbulence (ExaCT) is to absorb the sweeping changes necessary for exascale computing into software and ensure that the hardware is developed to meet the requirements to perform direct numerial simulations of turbulent combustion at actual thermo-chemical conditions of combustors.”

Get the full story from insideHPC here.

Is the Cloud Safe? Happy Little Delusions about In-House Data

I only now became aware of this great blog on the website of CyDesign, a company recently acquired by ESI. The blog comments on an cloud-safe-datacenterarticle by former Google Enterprise head Dave Girouard (now the founder and CEO of UpStart) which appeared on GigaOm, talking about three “insane” arguments cloud detractors make as examples when answering if the Cloud is safe and why they should keep their infrastructure and data under their own control. He also answers why they’re wrong.

The blog’s conclusion is that “better tools will dictate the move the the Cloud, not the platform of delivery. In other words, the reason for not moving to the Cloud is NOT THE CLOUD ITSELF. Businesses (and traditional software vendors) said the same thing about web-based CRM in the early days. “But my customer data needs to be controlled by IT where it’s safe,” and then Salesforce.com proved it could be better and no one talks about the lack of safe storage of CRM data any more. “

InsideHPC Rich Brueckner Interviews UberCloud Founder Burak Yenier

Rich Bruckner and Burak Yenier

In this video, Burak Yenier describes the new UberCloud Marketplace. As a One-Stop-Shop for HPC as a Service, the Marketplace is a place where engineers and scientists can discover, try and buy the computing power and expertise on demand they need for their computational and data-intensive tasks.

“With the limits of desktop workstations often unable to provide enough computing power, computer simulations taking too long, and the number of jobs too small to get quality results, engineers and scientists are looking for additional computing power beyond their desktop workstations. Now, the UberCloud Marketplace provides access to a wide variety of computing providers, software vendors, enabling tools, and independent experts to simplify and ease the search for the most suitable service providers and expertise, out of hundreds that joined UberCloud in the last 18 months.”

Accuracy and Checking in FEA Part 1 and Part 2

Figure1_opt500In the finite element analysis (FEA) process, checking is done at every stage. Before the analysis even starts, we need to get all our material data, dimensions, masses, loading definitions and other data clearly organized.Obtaining accurate and validated data can take a surprisingly long time. The final accuracy of the results reported in a finite element analysis model depends on many factors. These two very instructive articles take a close look at how errors in FEA design can occur — and how to avoid them.

Part 1:  http://www.deskeng.com/articles/aabnjx.htm

Part 2:  http://www.deskeng.com/articles/aabntd.htm

 

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