Today Hexagon AB from Sweden announced an agreement to acquire MSC Software, a leading provider of computer-aided engineering solutions, including simulation software for virtual product and manufacturing process development. “MSC represents a game changer in our mission to deliver actionable manufacturing intelligence, taking us another step closer to realizing our smart connected factory vision in discrete manufacturing industries such as automotive and aerospace,” said Hexagon President and CEO Ola Rollén. “We can now leverage the data our MI division is generating to improve design choices and processes upstream in the workflow. The acquisition will also open up new markets and touchpoints for MSC via our PPM division.”
“I’m pleased to have the opportunity to lead this important Council,” said Dr. J. Michael McQuade of United Technologies Corporation, who will serve as the first Chair of the ECP Industry Council. “Exascale level computing will help industry address ever more complex, competitively important problems, ones which are beyond the reach of today’s leading edge computing systems. We compete globally for scientific, technological and engineering innovations. Maintaining our lead at the highest level of computational capability is essential for our continued success.”
Argonne has selected 10 computational science and engineering research projects for its Aurora Early Science Program starting this month. Aurora, a massively parallel, manycore Intel-Cray supercomputer, will be ALCF’s next leadership-class computing resource and is expected to arrive in 2018. The Early Science Program helps lay the path for hundreds of other users by doing actual science, using real scientific applications, to ready a future machine. “As with any bleeding edge resource, there’s testing and debugging that has to be done,” said ALCF Director of Science Katherine Riley.
Dr. Amit Seti from IIT-Gauwhati presented this talk at GTCx in India. “This talk will cover how medical imaging data can be used to train computer vision systems that automate diagnostic analysis in current clinical practice. Not only that, with more creative use of data, we can go even beyond that to predict outcome of specific treatment for individual patients. We will cover results from prostate and breast cancers to show that a future is not too far where algorithms will become a necessary set of tools in a pathologist’s toolbox.”
Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). ZTE’s engineers used Intel’s midrange Arria 10 FPGA for a cloud inferencing application using a CNN algorithm. “ZTE has achieved a new record – beyond a thousand images per second in facial recognition – with what is known as “theoretical high accuracy” achieved for their custom topology. Intel’s Arria 10 FPGA accelerated the raw design performance more than 10 times while maintaining the accuracy.”
“UberCloud has created an entire cloud computing ecosystem for complex technical simulations, leveraging cloud infrastructure providers, developing and utilizing middleware container technology, and bringing on board established and proven application software providers, all for the benefit of a growing community of engineers and scientists that need to solve critical technical problems on demand,” said Roland Manger, co-founder and Partner at Earlybird. “While technical computing has been slow to adopt the benefits of the Cloud, we are convinced that UberCloud can be a catalyst for change.”
In this RCE Podcast, Brock Palen and Jeff Squyres speak with the creators of iRODS: Jason Coposky and Terrell Russell. Also known as the Integrated Rule-Oriented Data System, iRODS open source data management software is used by research organizations and government agencies worldwide. “iRODS virtualizes data storage resources, so users can take control of their data, regardless of where and on what device the data is stored. The development infrastructure supports exhaustive testing on supported platforms. The plugin architecture supports microservices, storage systems, authentication, networking, databases, rule engines, and an extensible API.”
In this WUOT podcast, Jack Wells from ORNL describes how the Titan supercomputer helps advance science. “The world’s third-most powerful supercomputer is located in Oak Ridge, and though it bears the imposing name TITAN, its goals and capabilities are more quotidian than dystopian. After that, WUOT’s Megan Jamerson tells us about a project at ORNL that uses TITAN to help humans digest vast sums of information from medical reports. If successful, the project could create new understandings about the demographics of cancer.”
In this silent video from the Blue Brain Project at SC16, 865 segments from a rodent brain are simulated with isosurfaces generated from Allen Brain Atlas image stacks. For this INCITE project, researchers from École Polytechnique Fédérale de Lausanne will use the Mira supercomputer at Argonne to advance the understanding of these fundamental mechanisms of the brain’s neocortex.
The move away from the traditional single processor/memory design has fostered new programming paradigms that address multiple processors (cores). Existing single core applications need to be modified to use extra processors (and accelerators). Unfortunately there is no single portable and efficient programming solution that addresses both scale-up and scale-out systems.