• November 2019
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World’s Fastest Supercomputers Hit Higher Speeds with Linux

 ZDNet
Steven J. Vaughan-Nichols
November 18, 2019

The latest Top500 supercomputer ratings found Linux-powered supercomputers currently average 1.14 petaflops in speed, with the Oak Ridge National Laboratory’s Summit system topping the list with a High-Performance Linpack benchmark of 148.6 petaflops. Ranked second is Lawrence Livermore National Laboratory’s Sierra system, with a speed of 94.6 petaflops, despite using the same Power9 central-processing units and Nvidia Tesla V100 graphic-processing units as Summit. Although China owns nearly half the world’s fastest supercomputers, U.S. systems have a 37.8% aggregate performance share to China’ 31.9%. The Green500 list of the most energy-efficient supercomputers ranked the A64FX prototype the top system, with 16.9 gigaflops/watt. Meanwhile, HDR InfiniBand-based machines account for 40% of the Top500’s aggregate performance, and Ethernet-based systems account for 29%.

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Machine Learning Advances Tool to Fight Cybercrime in the Cloud Purdue University News

Chris Adam
November 5, 2019

Purdue University researchers used machine learning to develop a cloud forensic model that collects digital evidence associated with illegal activities in cloud storage applications. The system deploys deep learning models to classify child exploitation, illegal drug trafficking, and illegal firearms transactions uploaded to cloud storage applications, and to automatically report detection of any such illegal activities via a forensic evidence collection system. The researchers tested the system on more than 1,500 images, and found that the model accurately classified an image about 96% of the time. Said Purdue’s Fahad Salamh, “It is important to automate the process of digital forensic and incident response in order to cope with advanced technology and sophisticated hiding techniques and to reduce the mass storage of digital evidence on cases involving cloud storage applications.”

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IBM Hopes to Change Weather Forecasting Around the Globe Using Big Data, Supercomputer

 CNBC
Steve Liesman
November 14, 2019

IBM has launched a global weather model that it says offers more accurate forecasts for the entire world and can provide details for regions as small as two miles wide. The Global High-Resolution Atmospheric Forecasting (GRAF) model runs only on IBM’s new DYEUS supercomputer, which will publish 12 trillion pieces of daily weather data and process hourly forecasts; many global weather models only update every six to 12 hours. Individuals can access data via the Weather Channel app on smartphones, and in other sources employing IBM data. DYEUS utilizes IBM’s Power 9 processing chips, and graphics processing units used in video gaming, to expedite visual output processing. GRAF, which IBM said can collect data from aircraft sensors and smartphones, will deliver forecasts of up to 15 hours for 26 million locations worldwide.

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