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Why China's New Supercomputer Is Only Technically the World's Fastest [message #363583] Thu, 15 February 2018 22:13
Anne & Lynn Wheel is currently offline  Anne & Lynn Wheel
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Registered: January 2012
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2010 MIT article:

Why China's New Supercomputer Is Only Technically the World's Fastest;
Peak performance doesn’t equal sustained performance, and the NVIDIA
GPUs in the Tianhe 1A are especially bad at the latter.
https://www.technologyreview.com/s/421584/why-chinas-new-sup ercomputer-is-only-technically-the-worlds-fastest/

move forward to 2017 MIT article: America Just Can’t Match China’s
Exploding Supercomputing Power
https://www.technologyreview.com/the-download/609468/america -just-cant-match-chinas-exploding-supercomputing-power/

TECH SUPERCOMPUTERS; China Now Has More Supercomputers Than Any Other
Country
http://time.com/5022859/china-most-supercomputers-world/
America second? Yes, and China's lead is only growing
https://www.bostonglobe.com/opinion/2017/05/21/america-secon d-yes-and-china-lead-only-growing/7G6szOUkTobxmuhgDtLD7M/sto ry.html
China's Tsinghua University dethroned MIT (above) as the top engineering
university in the world in 2015
https://www.bostonglobe.com/opinion/2017/05/21/america-secon d-yes-and-china-lead-only-growing/7G6szOUkTobxmuhgDtLD7M/sto ry.html

this is 2011 tutorial on radar (including military) but says it needs
3tflops for really advanced, which was beyond 2011 processing

2011 tutorial on DSP, FFT, Radar (part 3)
https://www.eetimes.com/document.asp?doc_id=1278838
STAP (part 4)
https://www.eetimes.com/document.asp?doc_id=1278878
SAR (part 5)
https://www.eetimes.com/document.asp?doc_id=1278931

latest (2016) international IEEE Radar conference, Guangzhou, China,
papers
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber= 8051143

There are claims that digital signal processing by latest generation of
digital signal processing chips can reduce the number of
transmit/receive pairs in APG-77/79/81/83 by nearly two orders magnitude
w/o loss of capability

significant advances in digital power and processing spurred by
autonomous vehicles, but also useful for military radar (2017 320
t-ops/sec, 100 times 2011 reference).
https://www.fastcompany.com/40479260/nvidia-debuts-a-new-sup ercomputer-to-power-robotic-taxis-and-delivery-trucks
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