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Numascale Powers Big Data Analytics with Transtec

numascale

“At ISC 2015, Numascale announced record-breaking results from a shared memory system running the McCalpin STREAM Benchmark, a synthetic benchmark program that measures sustainable memory bandwidth and the corresponding computation rate for simple vector kernels. Numascale’s cache coherent shared memory system, which was targeted for big data analytics, reached 10.06 TBytes/second for the Scale function.”

Job of the Week: HPC Systems Developer for Deep Learning Startup

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A leading Artificial Intelligence Technology Startup is seeking an HPC Systems Developer in our Job of the Week.

IBM Improves Solar Forecasts with Machine Learning

Solar

Today IBM Research announced that solar and wind forecasts produced using machine learning and other cognitive computing technologies are proving to be as much as 30 percent more accurate than ones created using conventional approaches.

Numascale Sets New World Record on STREAM Benchmark

numascale

Today Numascale announced record-breaking results from a shared memory system running the McCalpin STREAM Benchmark, a synthetic benchmark program that measures sustainable memory bandwidth and the corresponding computation rate for simple vector kernels.

Peter V. Coveney to Keynote ISC Cloud & Big Data

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Today the ISC Cloud & Big Data conference announced that Professor Peter V. Coveney from University College London will be their keynote speaker. Coveney will discuss the current state-of-the-art in the development of personalized medicine, at the event, which takes place Sept. 28-30 in Frankfurt, Germany.

Time to Unite Exascale and Big Data

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In this video, Dan Reed from the University of Iowa describes the era of Exascale Computing and Big Data. In a recent paper co-authored with Jack Dongarra, Reed makes an impassioned plea for hardware and software integration and cultural convergence.

insideBIGDATA Guide to Scientific Research

HPC Life Sciences

Daniel Gutierrez, Managing Editor, of insideBIGDATA has put together a terrific Guide to Scientific Research. The goal of this paper is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.

Ed Seidel Presents: Supercomputing in an Era of Big Data and Big Collaboration

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“Supercomputing has reached a level of maturity and capability where many areas of science and engineering are not only advancing rapidly due to computing power, they cannot progress without it. I will illustrate examples from NCSA’s Blue Waters supercomputer, and from major data-intensive projects including the Large Synoptic Survey Telescope, and give thoughts on what will be needed going forward.”

HPC News Bytes for June 11, 2015

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While we’re always on the lookout for HPC news, not everything makes it to the front page. Global HPC news items from this week include updates from Cray, Dell, DSRC, Oak Ridge, and Sentient Technologies.

Video: Towards Inevitable Convergence of HPC and Big Data

Dr. Satoshi Matsuoka, University of Tokyo

Satoshi Matsuoka from the Tokyo Institute of Technology discusses Big Data at the NCSA Blue Waters Symposium. “The trend towards convergence is not only strategic however but rather inevitable as the Moore’s law ends such that sustained growth in data capabilities, not compute, will advance the capacity and thus the overall capacities towards accelerating research and ultimately the industry.”