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Parallel Multiway Methods for Compression of Massive Data and Other Applications

Tamara Kolda from Sandia gave this Invited Talk at SC16. “Scientists are drowning in data. The scientific data produced by high-fidelity simulations and high-precision experiments are far too massive to store. For instance, a modest simulation on a 3D grid with 500 grid points per dimension, tracking 100 variables for 100 time steps yields 5TB of data. Working with this massive data is unwieldy and it may not be retained for future analysis or comparison. Data compression is a necessity, but there are surprisingly few options available for scientific data.”

Co-Design 3.0 – Configurable Extreme Computing, Leveraging Moore’s Law for Real Applications

Sadasivan Shankar gave this Invited Talk at SC16. “This talk will explore six different trends all of which are associated with some form of scaling and how they could enable an exciting world in which we co-design a platform dependent on the applications. I will make the case that this form of “personalization of computation” is achievable and is necessary for applications of today and tomorrow.”

Job of the Week: Computational Scientist at ORNL

Oak Ridge National Laboratory is seeking a Computational Scientist in our Job of the Week. The National Center for Computational Sciences in the Computing and Computational Sciences Directorate at the Oak Ridge National Laboratory (ORNL) seeks to hire Computational Scientists. We are looking in the areas of Computational Climate Science, Computational Astrophysics, Computational Materials Science, […]

Video: Advances and Challenges in Wildland Fire Monitoring and Prediction

Janice Coen from NCAR gave this Invited Talk at SC16. “The past two decades have seen the infusion of technology that has transformed the understanding, observation, and prediction of wildland fires and their behavior, as well as provided a much greater appreciation of its frequency, occurrence, and attribution in a global context. This talk will highlight current research in integrated weather – wildland fire computational modeling, fire detection and observation, and their application to understanding and prediction.”

SAGE Project Looks to Percipient Storage for Exascale

“The SAGE project, which incorporates research and innovation in hardware and enabling software, will significantly improve the performance of data I/O and enable computation and analysis to be performed more locally to data wherever it resides in the architecture, drastically minimizing data movements between compute and data storage infrastructures. With a seamless view of data throughout the platform, incorporating multiple tiers of storage from memory to disk to long-term archive, it will enable API’s and programming models to easily use such a platform to efficiently utilize the most appropriate data analytics techniques suited to the problem space.”

Video: The Materials Project – A Google of Materials

“The Materials Project is harnessing the power of supercomputing together with state-of-the-art quantum mechanical theory to compute the properties of all known inorganic materials and beyond, design novel materials and offer the data for free to the community together with online analysis and design algorithms. The current release contains data derived from quantum mechanical calculations for over 60,000 materials and millions of properties.”

Building for the Future Aurora Supercomputer at Argonne

“Argonne National Labs has created a process to assist in moving large applications to a new system. Their current HPC system, Mira will give way to the next generation system, Aurora, which is part of the collaboration of Oak Ridge, Argonne, and Livermore (CORAL) joint procurement. Since Aurora contains technology that was not available in Mira, the challenge is to give scientists and developers access to some of the new technology, well before the new system goes online. This allows for a more productive environment once the full scale new system is up.”

IDC: Worldwide HPC Server Revenue Grows 3.9% in Third Quarter

IDC is out with their latest Worldwide High-Performance Technical Server QView report. The QView presents the HPC market from various perspectives, including by competitive segment, vendor, cluster versus non-cluster, geography, and operating system. It also contains detailed revenue and shipment information by HPC models. “The workgroup segment, and especially the departmental segment, substantially ramped up purchases of HPC servers in the period 2012-2015, in tune with the global economic recovery.”

Supercomputing Subatomic Particle Research on Titan

By using multiple grids and separating the modes in the problem onto the various grids most efficiently, the researchers can get through their long line of calculations quicker and easier. “GPUs provide a lot of memory bandwidth,” Clark said. “Solving LQCD problems computationally is almost always memory-bound, so if you can describe your problem in such a way that GPUs can get maximum use of their memory bandwidth, QCD calculations will go a lot quicker.” In other words memory bandwidth is like a roadway in that having more lanes helps keep vehicles moving and lessens the potential for traffic backups.”

HPC Advisory Council Announces Global Conference Series for 2017

Today the HPC Advisory Council announced key dates for its 2017 international conference series in the USA and Switzerland. The conferences are designed to attract community-wide participation, industry leading sponsors and subject matter experts. “HPC is constantly evolving and reflects the driving force behind many medical, industrial and scientific breakthroughs using research that harnesses the power of HPC and yet, we’ve only scratched the surface with respect to exploiting the endless opportunities that HPC, modeling, and simulation present,” said Gilad Shainer, chairman of the HPC Advisory Council. “The HPCAC conference series presents a unique opportunity for the global HPC community to come together in an unprecedented fashion to share, collaborate, and innovate our way into the future.”