Today Bright Computing announced that it has collaborated with BitNet in Turkey to provide an infrastructure management solution to FNSS. As is a leading manufacturer and supplier of tracked and wheeled armored combat vehicles, FNSS provides weapon systems for the Turkish and Allied Armed Forces.
Researchers are using XSEDE compute resources to study how lasers can be used to make useful materials. In this podcast, Dr. Zhigilei discusses the practical applications of zapping surfaces with short laser pulses. Laser ablation, which refers to the ejection of materials from the irradiated target, generates chemical-free nanoparticles that can be used in medical applications, for example.
Today Comsol announced the availability of COMSOL Multiphysics software on the Rescale Cloud simulation platform. “For customers seeking HPC resources for bigger analyses, this important initiative with Rescale allows our users to take full advantage of both the COMSOL Multiphysics software and Rescale’s secure and flexible simulation environments,” said Phil Kinnane, COMSOL’s VP of Business Development.
In this Chigago Tonight video, Katrin Heitmann from Argonne National Lab describes one of the most complex simulations of the evolution of the universe ever created. “What we want to do now with these simulations is exactly create this universe in our lab. So we build this model and we put it on a computer and evolve it forward, and now we have created a universe that we can look at and compare it to the real data.”
Prof. Kai Li from Princeton presented this talk at the Intel HPC Developer Conference at SC15. “Full correlation matrix analysis (FCMA) is an unbiased approach for exhaustively studying interactions among brain regions in functional magnetic resonance imaging (fMRI) data from human participants. In order to answer neuro-scientific questions efficiently, we are developing a closed-loop analysis system with FCMA on a cluster of nodes with Intel Xeon Phi coprocessors. In this talk, we will discuss our current results and future plans.”
An interdisciplinary research team from JYU in Finland has set a new world record in the field of fluid flow simulations through porous materials. The team, coordinated by Dr. Keijo Mattila from the University of Jyväskylä, used the world’s largest 3D images of a porous material–synthetic X-ray tomography images of the microstructure of Fontainebleau sandstone, and successfully simulated fluid flow through a sample of the size of 1.5 cubic centimeters with a submicron resolution.
John Stone from the University of Illinois presented this talk at the Intel HPC Developer Conference at SC15. “VMD is designed for modeling, visualization, and analysis of biological systems such as proteins, nucleic acids, lipid bilayer assemblies, etc. It may be used to view more general molecules, as VMD can read standard Protein Data Bank (PDB) files and display the contained structure.”
Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the seventh International Summer School on HPC Challenges in Computational Sciences, to be held June 26 to July 1, 2016, in Ljubljana, Slovenia. The summer school is sponsored by the Extreme Science and Engineering Discovery Environment (XSEDE) with funds from the U.S. National Science Foundation, Compute/Calcul Canada, the Partnership for Advanced Computing in Europe (PRACE) and the RIKEN Advanced Institute for Computational Science (RIKEN AICS).
This week Flow Science released a new version of FLOW-3D Cast, its software specially-designed for metal casters. FLOW-3D Cast v4.1 offers powerful advances in modeling capabilities, accuracy and performance.
In this video from the Intel HPC Developer Conference at SC15, Jim Jeffers from Intel presents an SDVis Overview. After that, Bruce Cherniak from Intel presents: OpenSWR: Fast SW Rendering within MESA. “This session has two talk for the price of one: (1) Software Defined Visualization: Modernizing Vis. A ground swell is underway to modernize HPC codes to take full advantage of the growing parallelism in today’s and tomorrow’s CPU’s. Visualization workflows are no exception and this talk will discuss the recent Software Defined Visualization efforts by Intel and Vis community partners to improve flexibility, performance and workflows for visual data analysis and rendering to maximize scientific understanding. (2) OpenGL rasterized rendering is a so called “embarrasingly” parallel workload. As such, multicore and manycore CPUs can provide strong, flexible and large memory footprint solutions, especially for large data rendering. OpenSWR is a MESA3D based parallel OpenGL software renderer from Intel that enables strong interactive performance for HPC visualization applications on workstations through supercomputing clusters without the I/O and memory limitations of GPUs. We will discuss the current feature support, performance and implementation of this open source OpenGL solution.”