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Purdue Adds New Resource for GPU-accelerated Research Computing

A new computing resource is available for Purdue researchers running applications that can take advantage of GPU accelerators. The system, known as Halstead-GPU, is a newly GPU-equipped portion of Halstead, Purdue’s newest community cluster research supercomputer. Halstead-GPU nodes consist of two 10-core Intel Xeon E5 CPUs per node, 256 GB of RAM, EDR Infiniband interconnects and two NVIDIA Tesla P100 GPUs. The GPU nodes have the same high-speed scratch storage as the main Halstead cluster.

Video: HPC Reservoir Simulations on AWS with NICE

In this video, Scott Harrison from Rock Flow Dynamics and Bruno Franzini from NICE Software explain how they scale HPC workloads in the cloud. “You’ll learn how they leverage Amazon EC2 Spot instances and Amazon S3 to create cost-effective, scalable clusters that power tNavigator, Rock Flow Dynamics’ solution for running dynamic reservoir simulations. You’ll also see how they use NICE Software’s DCV to stream the OpenGL-based user interface to interact with 3D models.”

Job of the Week: Sr. Scientific Programmer at Illinois Rocstar

Illinois Rocstar is seeking a Sr. Scientific Programmer in our Job of the Week. “Have you ever thought that you’d like to write code to model something awesome? Like rockets? Aircraft? Explosions? Advanced battery performance? That’s what we do at Illinois Rocstar! Producing tools, interfaces, and systems to run on machines ranging from high-end engineering workstations to the most advanced high performance computing platforms in the world, we are all about making High Performance Computational Science and Engineering better and easier to use.”

Philip Diamond from SKA Project to Keynote SC17

Professor Philip Diamond, Director General of the international Square Kilometer Array (SKA) project, will be the keynote speaker at SC17. “Professor Diamond, accompanied by Dr. Rosie Bolton, SKA Regional Centre Project Scientist, will take SC17 attendees around the globe and out into the deepest reaches of the observable universe as they describe the SKA’s international partnership that will map and study the entire sky in greater detail than ever before.”

Dell EMC Supercomputer to Power OzGRav Studies of Black Holes

Today Dell EMC announced it will build a supercomputer to power Swinburne University of Technology’s groundbreaking research into astrophysics and gravitational waves. “We will be looking for gravitational waves that help us learn more about supernovas, the formation of stars, intergalactic gases and more,” said Professor Bailes. “It’s exciting to think that we as OzGRav could make the next landmark discovery in gravitational wave astrophysics – and the Dell EMC supercomputer will allow us to capture, visualise and process the data to make those discoveries.”

How Extreme Energy Jets Escape a Black Hole

Researchers are using XSEDE supercomputers to better understand the forces at work at the center of the Milky Way galaxy. The work could reveal how instabilities develop in extreme energy releases from black holes. “While nothing – not even light – can escape a black hole’s interior, the jets somehow manage to draw their energy from the black hole.”

Microsoft Acquires Cycle Computing

Today Microsoft announced it has acquired Cycle Computing, a software company focused on making cloud computing resources more readily available for HPC workloads. “Now supporting InfiniBand and accelerated GPU computing, Microsoft Azure looks to be a perfect home for Cycle Computing, which started its journey with software for aggregating compute resources at AWS. The company later added similar capabilities for Azure and Google Cloud.”

DeepSat: Monitoring the Earth’s Vitals with AI

In order to better keep a finger on the pulse of the Earth’s health, NASA developed DeepSat, a deep learning AI framework for satellite image classification and segmentation. DeepSat provides vital signs of changing landscapes at the highest possible resolution, enabling scientists to use the data for independent modeling efforts.

What Developers Need to Consider When Exploring Machine Learning

Frameworks, applications, libraries and toolkits—journeying through the world of deep learning can be daunting. If you’re trying to decide whether or not to begin a machine or deep learning project, there are several points that should first be considered. This is the first article in a five-part series that covers the steps to take before launching a machine learning startup. 

AI and Blockchain Companies Partner to Advance Healthcare Research

Today Insilico Medicine announced a research collaboration with The Bitfury Group, the world’s leading full-service blockchain technology conglomerate, to develop novel solutions for healthcare applications. The companies signed a memorandum of understanding (MOU) to collaborate in the academic and commercial settings to develop AI on Blockchain solutions for the healthcare industry.

Blockchain can secure and streamline our medical systems, while AI has the potential to revitalize data management and machine learning to help identify trends and diseases,” said Valery Vavilov, founder, and CEO of The Bitfury Group. “By partnering with Insilico, we will be able to combine their expertise in deep learning and bioinformatics with our Blockchain proficiency and real-time solutions to create bespoke and innovative new products for the healthcare sector.”