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Deep Learning, Ocean Modeling, and HPCG Come to ASC16 Student Supercomputer Challenge

Today the ASC Student Supercomputer Challenge (ASC16) announced details from their Preliminary Contest on January 6. College students from around the world were asked to design a high performance computer system that optimizes HPCG and MASNUM_WAM applications under 3000W as well as to conduct a DNN performance optimization on a standalone hybrid CPU+MIC platform. All system designs along with the result and the code of the optimization application are to be submitted by March 2.

Call for Papers: ACM International Conference on Computing Frontiers

The 2016 ACM International Conference on Computing Frontiers has issued its Call for Papers. The event takes place May 16-18 in Como, Italy. “We seek contributions that push the envelope in a wide range of computing topics, from more traditional research in architecture and systems to new technologies and devices. We seek contributions on novel computing paradigms, computational models, algorithms, application paradigms, development environments, compilers, operating environments, computer architecture, hardware substrates, memory technologies, and smarter life applications.”

Brookhaven Lab Expands Computational Science Initiative

Today the Brookhaven National Laboratory announced that it has expanded its Computational Science Initiative (CSI). The programs within this initiative leverage computational science, computer science, and mathematics expertise and investments across multiple research areas at the Laboratory-including the flagship facilities that attract thousands of scientific users each year-further establishing Brookhaven as a leader in tackling the “big data” challenges at experimental facilities and expanding the frontiers of scientific discovery.

Faster SAS Analytics Using DDN Storage Solutions

Parallel file systems have become the norm for HPC environments. While typically used in high end simulations, these parallel file systems can greatly affect the performance and thus the customer experience when using analytics from leading organizations such as SAS. This whitepaper is an excellent summary of how parallel file systems can enhance the workflow and insight that SAS Analytics gives.

FlyElephant Announces New Tools for Scientific Computing Data Management

Today FlyElephant announced new tools, a series of webinars, and the formation of a community around the platform. FlyElephant is a platform that provides scientists with computing infrastructure for calculation and automates routine tasks and allows focus on the core issues of research.

Video: Intersect360 Research Describes HPC Market Trends at SC15

In this video from the Dell booth at SC15, Addison Snell from Intersect360 Research discusses why HPC is now important to a broader group of use cases, and dug deep into overviews of HPC for research, life sciences and manufacturing. Participants learned more about why HPC, Big Data, and Cloud are converging.

Video: Machine Learning Possibilities with HPC

In this video, Baidu Chief Scientist Andrew Ng discusses what machine learning is, how it relies on high performance computing, and touches on the many ways that machine learning will advance commercial and scientific applications.

OCF Deploys Fujitsu HPC Cluster at University of East Anglia

OCF in the U.K. recently deployed a new Fujitsu HPC cluster at the University of East Anglia. As the University’s second new HPC system in 4-years, the cluster can be easily scaled and expanded in the coming months through a framework agreement to match rapidly increasing demand for compute power.

Astronomers Using iRODS to Wrangle Massive Survey Data

Astronomers are using iRODs data technology to study the evolution of galaxies and the nature of dark matter. “By partnering with data specialists at UNC-Chapel Hill’s Renaissance Computing Institute (RENCI) who develop the integrated Rule-Oriented Data System (iRODS) researchers and students now have online databases for two large astronomical data sets: the REsolved Spectroscopy of a Local VolumE (RESOLVE) survey and the Environmental COntext (ECO) catalog.”

New Version of RDMA-Spark Runs Native InfiniBand and RoCE

Fans of High Performance Data Analytics got a boost today with news that the High-Performance Big Data (HiBD) team at Ohio State University has released RDMA-Apache-Spark 0.9.1.