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DoE Awards AltaSim Funds to Develop Additive Manufacturing

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The U.S. Department of Energy has awarded AltaSim Technologies nearly $150,000 to further develop the technologies that drive additive manufacturing – adding momentum to a public-private initiative based in Ohio to boost industrial use of modeling and simulation.

How Bezo’s Law Will Drive Migration to the Cloud

Greg O'Connor

Over at GigaOM, by Greg O’Connor from AppZero writes that the future of cloud computing is the availability of more computing power at a much lower cost. Along these lines, he proposes Bezos’s Law. “Named for Amazon CEO Jeff Bezos, I define it as the observation that, over the history of cloud, a unit of computing power price is reduced by 50 percent approximately every three years.”

Interview: Addison Snell of Intersect360 Talks HPC, Cloud and Big Data

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“Our annual ‘Budget Map’ report series looks at the relative spending between all of the products, components, and services that make up the HPC market. With six years of end user data, we get a strong grip on where the money is flowing, whether it’s on big items like clusters and storage, or on topical things like power consumption, programming, or compute cycles in public cloud. We also get a sense of future budget outlook and how the market is likely to evolve.”

Job of the Week: Pre & Post Sales Engineers at Cycle Computing

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Cycle Computing is seeking Pre & Post Sales Engineers in our Job of the Week.

iRODS 4.0 Data Management Tool Broadens Appeal

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This week the iRODS Consortium announced the release of the iRODS 4.0 data management platform.

Azure Cloud Used to Discover Lost Prime Number with 342K Digits

The Prime Challenge launched by Microsoft Azure in November last year has come to an end with a user registered as PHunterLau being declared the winner. PHunterLau emerged as the winner after discovering a prime number that was over 342,000 digits long.

How Much Should a Teraflop Cost?

Leo Reiter

“Why not pay only for what you need, when you need it? Using our JARVICE supercomputer, we can deliver 120 teraFLOPS for less than $200 per hour. The same electromagnetic simulation costing close to $600 on the ManeFrame (in slice of CAPEX cost alone) can be yours for only $156 total on the Nimbix cloud. And unlike the ManeFrame, it shuts off automatically when it’s done, so you don’t keep paying even when it’s idle. The $156 includes space, cooling, power, and humans to help make sure it runs smoothly as well. Don’t forget that you can’t just “slice off” $600 of ManeFrame – you still have to invest $6.5 million, plus the operating costs. With JARVICE, the $156 is the total amount you pay for the example job with no other strings attached.”

Jeff Layton on Lustre Shared Storage in the Cloud

Jeff Layton

“In addition to NAS, you can also create parallel storage solutions. For example, in Amazon AWS, there are two options, one for Lustre, and one for OrangeFS (PVFS). Both use the same compute and storage instances that you use for NAS, but you create several instances that are combined to create a single file system. If you need more performance, just add more instances. If you need more capacity, just add more instances. Since this is the cloud, it’s very easy to spin up a new instance and add it to the existing storage.”

Video: Penguin Computing Steps up to the Enterprise

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“Penguin Computing is the largest private supplier of complete high performance computing (HPC) solutions in North America and has built and operates the leading specialized public HPC cloud service Penguin Computing on Demand (POD). Penguin Computing also applies its core expertise in the field of distributed large-scale enterprise computing delivering scale-out compute, storage, virtualization, and cloud solutions for organizations looking to take advantage of modern open data center architectures.”

Will Big Data Drive HPC to the Cloud?

Jason Stowe

“There is a shift underway where researchers, engineers, and analysts, can change the very way they think about problems. Previously, we have been limited by the computing resources we have — the clusters we have on premise. Today, we can change the very way we ask our questions. Ask the right questions — and use the Cloud to create the size of system needed to answer your questions.”