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LANL Steps Up to HPC for Materials Program

“Understanding and predicting material performance under extreme environments is a foundational capability at Los Alamos,” said David Teter, Materials Science and Technology division leader at Los Alamos. “We are well suited to apply our extensive materials capabilities and our high-performance computing resources to industrial challenges in extreme environment materials, as this program will better help U.S. industry compete in a global market.”

Scaling Deep Learning Algorithms on Extreme Scale Architectures

Abhinav Vishnu from PNNL gave this talk at the MVAPICH User Group. “Deep Learning (DL) is ubiquitous. Yet leveraging distributed memory systems for DL algorithms is incredibly hard. In this talk, we will present approaches to bridge this critical gap. Our results will include validation on several US supercomputer sites such as Berkeley’s NERSC, Oak Ridge Leadership Class Facility, and PNNL Institutional Computing.”

SC17 Session Preview: Dr. Pradeep Dubey on AI & The Virtuous Cycle of Compute

Deep Learning was recently scaled to obtain 15PF performance on the Cori supercomputer at NERSC. Cori Phase II features over 9600 KNL processors. It can significantly impact how we do computing and what computing can do for us. In this talk, I will discuss some of the application-level opportunities and system-level challenges that lie at the heart of this intersection of traditional high performance computing with emerging data-intensive computing.

Supercomputing Jet Noise for a Quieter World

Researchers at the University of Minnesota are using Argonne supercomputers to to look for new ways to reduce the noise produced by jet engines. Among the loudest sources of human-made noise that exist, jet engines can produce sound in excess of 130 decibels. “The University of Minnesota team developed a new method based on input-output analysis that can predict both the downstream noise and the sideline noise. While it was thought that the sideline noise was random, the input-output modes show coherent structure in the jet that is connected to the sideline noise, such that it can be predicted and controlled.”

Video: Will HPC Move to the Cloud?

Gabriel Broner from Rescale gave this talk at the HPC User Forum. “HPC has transitioned from unique and proprietary designs, to clusters of many dual-CPU Intel nodes. Vendors’ products are now differentiated more by packaging, density, and cooling than the uniqueness of the architecture. In parallel, cloud computing has gained momentum in the larger IT industry. Intel is now selling more processors to run in the cloud than in company-owned facilities, and cloud is starting to drive innovation and efficiencies at a rate faster than on premises.”

PSSC Labs to Power Biosoft Devices for Genetics Research

PSSC Labs will work with BSI to create truly, turn-key HPC clusters, servers and storage solutions. PSSC Labs has already delivered several hundred computing platforms for worldwide genomics and bioinformatics research. Utilizing the PowerWulf HPC Cluster as a base solution platform, PSSC Labs and BSI can customize individual components for a specific end user’s research goals.

Intel awards Paderborn University a Hybrid Cluster with Arria 10 FPGAs

The Paderborn Center for Parallel Computing (PC²) has been selected by Intel to host a computer cluster that uses Intel’s Xeon processor with its Arria 10 FPGA software development platform.” The availability of these systems allows us to further expand our leadership in this area and – as a next step – bring Intel FPGA accelerators from the lab to HPC production systems,” says Prof. Dr. Christian Plessl, director of the Paderborn Center for Parallel Computing, who is been active in this research area for almost two decades.”

KISTI in South Korea orders up a Cray CS500 Supercomputer

Today Cray announced the Korea Institute of Science and Technology Information (KISTI) has awarded the Company a contract valued at more than $48 million for a Cray CS500 cluster supercomputer. The 128-rack system, which includes Intel Xeon Scalable processors and Intel Xeon Phi processors, will be the largest supercomputer in South Korea and will provide supercomputing services for universities, research institutes, and industries. “Our supercomputing division is focused on maximizing research performance while significantly reducing research duration and costs by building a top-notch supercomputing infrastructure,” said Pillwoo Lee, General Director, KISTI. “Cray’s proficiency in designing large and complex high-performance computing systems ensures our researchers can now apply highly-advanced HPC cluster technologies towards resolving scientific problems using the power of Cray supercomputers.”

NVIDIA P100 GPUs come to Google Cloud Platform

Today the good folks at the Google Compute Platform announced the availability of NVIDIA GPUs in the Cloud for multiple geographies. Cloud GPUs can accelerate workloads such as machine learning training and inference, geophysical data processing, simulation, seismic analysis, molecular modeling, genomics and many more high performance compute use cases. “Today, we’re happy to make some massively parallel announcements for Cloud GPUs. First, Google Cloud Platform (GCP) gets another performance boost with the public launch of NVIDIA P100 GPUs in beta.

Slidecast: How Optalysys Accelerates FFTs with Optical Processing

In this RichReport slidecast, Dr. Nick New from Optalysys describes how the company’s optical processing technology delivers accelerated performance for FFTs and Bioinformatics. “Our prototype is on track to achieve game-changing improvements to process times over current methods whilst providing high levels of accuracy that are associated with the best software processes.”