“deal.II — a name that originally meant to indicate that it is the successor to the Differential Equations Analysis Library — is a C++ program library targeted at the computational solution of partial differential equations using adaptive finite elements. It uses state-of-the-art programming techniques to offer you a modern interface to the complex data structures and algorithms required.”
Berkeley Lab researchers have developed the first 3-D atomic-scale model of P22 virus that identifies the protein interactions crucial for its stability. “This is a great example of how to exploit electron microscopy technology and combine it with new computational methods to determine a bacteriophage’s structure,” said Paul Adams, Berkeley Lab’s Molecular Biophysics & Integrated Bioimaging division director and a co-author of the paper. “We developed the algorithms—the computational code—to optimize the atomic model so that it best fit the experimental data.”
Supermassive black holes have a speed limit that governs how fast and how large they can grow,” said Joseph Smidt of the Theoretical Design Division at LANL. Using computer codes developed at Los Alamos for modeling the interaction of matter and radiation related to the Lab’s stockpile stewardship mission, Smidt and colleagues created a simulation of collapsing stars that resulted in supermassive black holes forming in less time than expected, cosmologically speaking, in the first billion years of the universe.
The Allinea Forge parallel code development suite is helping to speed up exciting computational cardiology research at the Medical University of Graz. “Utilizing the power of the VSC-3 supercomputer at the University of Vienna, Postdoctoral researcher Dr. Aurel Neic and his team are developing a simulation framework for the human heart called the Cardiac Arrythmia Research Package (CARP). It replicates the electric, mechanic and haemodynamic (the forces associated with the flow of blood) phenomena in the heart in a coupled manner and is bringing exciting new possibilities to medical science.”
Altair just released HyperWorks 2017, the “most comprehensive, open architecture CAE simulation platform in the industry, offering the best technologies to design and optimize high performance, weight efficient and innovative products. “HyperWorks 2017 adds key enhancements to the modeling and assembly capabilities of the software,” said James P. Dagg, Chief Technical Officer, User Experience at Altair. “Users can now communicate directly with their enterprise PLM system, storing libraries of parts and configurations of their models. Tasks like setting up a model with multiple configurations for different disciplines can now be done in minutes.”
The use of simulation software for validation and testing is a well established process for many engineering companies – but advances in software, combined with increased pressure from competition and regulatory requirements, are driving simulation earlier into the design and concept stages of new product development. “If you can test lots of scenarios virtually, then you know that you have accounted for any possibility of it failing.”
In this video, Dr. Marcelo Ponce from SciNet presents: Scientific Visualization with Python. “SciNet is Canada’s largest supercomputer centre, providing Canadian researchers with computational resources and expertise necessary to perform their research on scales not previously possible in Canada. We help power work from the biomedical sciences and aerospace engineering to astrophysics and climate science.”
“Through multiscale simulation of the circulatory system, it is now possible to model this surgery and optimize it using the state of the art optimization techniques. In-silico analysis has allowed us to test new surgical design without posing any risk to patient’s life. I will show the outcome of this study, which is a novel surgical option that may revolutionize current clinical practice.”
Today UK-based ebb3 announced that Emerson Automation Solutions is deploying high-performance software for the oil and gas industry virtually using ebb3’s remote visualization technology. “The Roxar reservoir management software has to handle very large models, and many models simultaneously for uncertainty analysis,” Robert Frost, Product Development Manager at Emerson. “The more refined these are, the more graphical processing is required. This is one of the most challenging areas of virtualization, and virtual desktops with the power to support such high-powered graphics are almost unheard of. Along with the platform and partnership services that ebb3 provides, the power they’ve harnessed for virtual access to 3D visualization software is impressive. Being able to keep data in the data centre for fast access without compromising visualization and usability is a huge step forward.”
The Penn State Cyber-Laboratory for Astronomy, Materials, and Physics (CyberLAMP) is acquiring a high-performance computer cluster that will facilitate interdisciplinary research and training in cyberscience and is funded by a grant from the National Science Foundation. The hybrid computer cluster will combine general purpose central processing unit (CPU) cores with specialized hardware accelerators, including the latest generation of NVIDIA graphics processing units (GPUs) and Intel Xeon Phi processors.