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Building A Real-Time, Closed Loop fMRI Data Analysis System for Neuroscience Experiments

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.”

JYU Sets World Record for Pore-scale Flow Simulations

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.

Visualizing Biomolecular Complexes on x86 and KNL Platforms: Integrating VMD and OSPRay

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.”

Apply for International Summer School on HPC Challenges in Slovenia

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).

Flow Science Adds Active Simulation Control to FLOW-3D Cast

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.

Video: SDVis Overview & OpenSWR – A Scalable High Performance Software Rasterizer for SCIVIS

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.”

Video: Rendering in Ensight with OpenSWR

“EnSight is a software program for visualizing, analyzing, and communicating data from computer simulations and/or experiments. The purpose of OpenSWR is to provide a high performance, highly scalable OpenGL compatible software rasterizer that allows use of unmodified visualization software. This allows working with datasets where GPU hardware isn’t available or is limiting. OpenSWR is completely CPU-based, and runs on anything from laptops, to workstations, to compute nodes in HPC systems. OpenSWR internally builds on top of LLVM, and fully utilizes modern instruction sets like Intel®Streaming SIMD Extensions (SSE), and Intel® Advanced Vector Extensions (AVX and AVX2) to achieve high rendering performance.”

Video: SC15 HPC Matters Plenary Session with Intel’s Diane Bryant

In this video from SC15, Intel’s Diane Bryant discusses how next-generation supercomputers are transforming HPC and presenting exciting opportunities to advance scientific research and discovery to deliver far-reaching impacts on society. As a frequent speaker on the future of technology, Bryant draws on her experience running Intel’s Data Center Group, which includes the HPC business segment, and products ranging from high-end co-processors for supercomputers to big data analytics solutions to high-density systems for the cloud.

Podcast: Supercomputing the Deep Earth with the Gordon Bell Prize Winners

In this podcast, Jorge Salazar from TACC interviews two winners of the 2015 ACM Gordon Bell Prize, Omar Ghattas and Johann Rudi of the Institute for Computational Engineering and Sciences, UT Austin. As part of the discussion, Ghattas describes how parallelism and exascale computing will propel science forward.

Podcast: Supercomputing Black Hole Mergers

“General Relativity is celebrating this year a hundred years since its first publication in 1915, when Einstein introduced his theory of General Relativity, which has revolutionized in many ways the way we view our universe. For instance, the idea of a static Euclidean space, which had been assumed for centuries and the concept that gravity was viewed as a force changed. They were replaced with a very dynamical concept of now having a curved space-time in which space and time are related together in an intertwined way described by these very complex, but very beautiful equations.”