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Xilinx Announces Winners of First Adaptive Computing Challenge
January 20, 2021
Last July, Xilinx announced the first-ever Xilinx Adaptive Computing Challenge. Run in partnership with Hackster.io, the challenge tasked developers with findin Read more…
A Beginner’s Guide to the ASC19 Finals
April 22, 2019
Three thousand watts. That's how much power the competitors in the 2019 ASC Student Supercomputer Challenge here in Dalian, China, have to work with. Everybody Read more…
ASC16 Kicks Off in Wuhan, China: 16 Teams, $40k in Prizes
April 18, 2016
The fifth annual Asia Student Supercomputer Challenge (ASC16) got off to an exciting start this morning at the Huazhong University of Science and Technology (HUST) in Wuhan, the capital of Hubei province, China. Read more…
Windows Azure Ready to Take on AWS
April 17, 2013
After a lengthy incubation phase, Microsoft is finally ready to release its IaaS product into the wild. AWS, look out. Read more…
Information Technology Is Not the Savior of the Unemployed
July 16, 2010
The IT recovery is underway, but it left the jobs behind. Read more…
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Whitepaper
HPC in a Global Weather Environment
Between 2012 and 2022, CoreHive Computing collaborated with IBM in upgrading the National Oceanic and Atmospheric Administration’s (NOAA) Weather and Climate Operational Supercomputing System (WCOSS). Among the most powerful high-performance computing (HPC) systems in the world, WCOSS plays a vital role in providing forecasts, watches, warnings, and sharing data for public and international use.
The upgraded system seamlessly integrated IBM and Cray supercomputing systems using Spectrum Scale, resulting in a computational speed of 8.4 petaflops. The new system empowers NOAA to process larger data volumes and generate higher-resolution weather models, resulting in more precise forecasts and enhanced support services to communities worldwide. By successfully meeting the stringent performance requirements of the WCOSS contract, CoreHive Computing demonstrated its expertise in delivering and supporting HPC systems.
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