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UberCloud Voice November 2017

Drug-induced Arrhythmia of a Human Heart in the Cloud – Case Study Now Available

Quindine1The Living Heart Project is uniting leading cardiovascular researchers, educators, medical device developers, regulatory agencies, and practicing cardiologists around the world on a shared mission to develop and validate highly accurate personalized digital human heart models. These models will establish a unified foundation for cardiovascular in silico medicine and serve as a common technology base for education and training, medical device design, testing, clinical diagnosis and regulatory science. This cloud experiment #197 has been collaboratively performed by Stanford University, SIMULIA, Advania, UberCloud, and sponsored by Hewlett Packard Enterprise and Intel. It is based on the development of a Living Heart Model that encompasses advanced electrophysiological modelling. The goal is to create a biventricular finite element model to study drug-induced arrhythmias of a human heart. You can download the final case study HERE.

ANSYS Discovery Live – Every engineer deserves the power of Discovery

ANSYS Discovery LiveANSYS just announced an amazing breakthrough: ANSYS Discovery Live. This software provides instantaneous simulation, tightly coupled with direct geometry modeling, to enable interactive design exploration and rapid product innovation. It is an interactive experience in which you can manipulate geometry, materials and physics, and instantaneously see 3-D results, currently available for download as a technology preview, later also available in the cloud. Discovery Live unleashes the power of NVIDIA GPUs and CUDA parallel computing to make the first ever real-time design environment with simultaneous visualization and simulation possible. Read more details HERE and watch the Youtube Video.

Cloud for Confident Engineers

Cloud for EngineersGiven the recent improvements in cloud computing, it has never been easier to be fully confident as a simulation engineer. Never. Best of all it doesn’t require you to go back to engineering school, work 12 hours a day, or have a million dollar budget. It doesn’t require your IT department to buy a supercomputer. It is a rather simple matter when one clears up all the misconceptions about Cloud computing. In fact, if you don’t feel confident enough about your simulation results, it likely has nothing to do with your skills as an engineer. Given how potentially under-powered your current computing environment might be, how long the wait times are, it’s a wonder you are able to produce meaningful results, much less be fully confident about them. If the barrage of techno-jargon about Cloud computing has left you confused, take a deep breath and relax. In his blog post, Burak Yenier from UberCloud clears up three main misconceptions: #1: The main value of Cloud is reducing the cost of compute by the hour; #2: All Clouds are equal; and  #3: Everything will be new in Cloud. Read Burak’s blog HERE

Stanford Living Heart Project wins prestigious awards from Intel, HPCwire, and Hyperion for Cloud HPC

HPCwire Award 2017 smallDuring SC’17, the 30th International Conference for High Performance Computing, Networking, Storage and Analysis in Denver, in November, UberCloud received three awards for Cloud HPC on behalf of the Stanford Living Heart Project. It started at the preceding Intel HPC Developer Conference when the Living Heart Project (LHP), presented by Burak Yenier from UberCloud, won a best paper award. During SC’17 on Monday, the Stanford LHP Team received the HPCwire Editors’ Choice Award for Best Use of HPC in the Cloud. And finally, on Tuesday, the team won the Hyperion (former IDC) Award for Innovation Excellence, elected by the HPC User Forum Steering Committee. Read the UberCloud Blog HERE.

UberCloud wins best paper award at the 2017 Intel Developer Conference

High cost 1At this year’s Intel® HPC Developer Conference in Denver, CO November 11-12, 2017. UberCloud received a Best Paper Award for Burak Yenier’s presentation for our joint work with Stanford University, Dassault SIMULIA, and Advania, sponsored by HPE and Intel, about the Living Heart Project to studying drug-induced arrhythmias of a human heart with Abaqus 2017 in the Cloud. The conference featured industry luminaries sharing best practices and techniques to help realize the potential of new technologies. Attendees gained hands-on experience with Intel platforms, network with peers and industry experts, and gained insight on recent technology advances to maximize software efficiency that help drive discovery. See Burak’s slides HERE.

How you can avoid high costs in the cloud?

cloud cost

Instead of having to purchase hardware and hire in-house employees to manage them, you’re paying a cloud service provider to handle your software management, storage, and data transfer costs. Unfortunately, what cloud users often fail to take into account are the high costs associated with the convenience of using cloud services. But that’s all about to change.Thanks to recent advancements in transparency, navigating the cloud has gotten a bit less foggy. Microsoft announced at their annual Ignite conference that they acknowledge this is a problem, and they will be the ones to change that problem. With their recent acquisition of the Israeli company Cloudyn now they can help enterprises and managed service providers to optimize their investments in cloud services, This article describes ways how to optimize cloud service usage and costs via automated monitoring, analytics, and cost allocation.

New book on Cloud Computing for Science and Engineering

Cloud Foster GannonClouds operated by Amazon, Microsoft, Google, and others provide convenient on-demand access to storage and computing. They also provide powerful services for organizing data, processing data streams, machine learning, and many other tasks. Every scientist and engineer needs to understand what these services can and cannot do, and what the emergence of cloud means for their work. This book written by Ian Foster and Dennis Gannon addresses that need, describing cloud computing and how you may apply it to advantage in science and engineering. It is highly practical, with many hands-on examples of how to use cloud to address specific problems that arise in technical computing. It provides actionable advice on how and when to apply cloud computing in your work. The book has been published by MIT Press, and he full text is also available online, along with associated Jupyter notebooks and other supporting material.

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