Oleg Zabluda's blog
Thursday, May 18, 2017
 
NVIDIA Volta Unveiled: GV100 GPU and Tesla V100 Accelerator Announced
NVIDIA Volta Unveiled: GV100 GPU and Tesla V100 Accelerator Announced
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Tensor Cores are a new type of core for Volta that can, at a high level, be thought of as a more rigid, less flexible (but still programmable) core geared specifically for Tensor deep learning operations. These cores are essentially a mass collection of ALUs for performing 4x4 Matrix operations; specifically a fused multiply add (A*B+C), multiplying two 4x4 FP16 matrices together, and then adding that result to an FP16 or FP32 4x4 matrix to generate a final 4x4 FP32 matrix.

A single Tensor Core performs the equivalent of 64 FMA operations per clock (for 128 FLOPS total), and with 8 such cores per SM, 1024 FLOPS per clock per SM. By comparison, even with pure FP16 operations, the standard CUDA cores in an SM only generate 256 FLOPS per clock. So in scenarios where these cores can be used, NV is slated to be able to deliver 4x the performance versus Pascal.
[...]
previously announced NVLink 2, [...] up from 20GB/sec bidirectional to 25GB/sec bidirectional – there are now 6 NVLinks per GPU for GV100, 2 more than on GP100. Critically, NVLInk 2 also introduces cache coherency allowing the GPUs to be cache coherent with CPUs.
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http://www.anandtech.com/show/11367/nvidia-volta-unveiled-gv100-gpu-and-tesla-v100-accelerator-announced
http://www.anandtech.com/show/11367/nvidia-volta-unveiled-gv100-gpu-and-tesla-v100-accelerator-announced

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Сліди світів та їхнє застосування, або Як перевинайти і узагальнити диференціальне числення
Сліди світів та їхнє застосування, або Як перевинайти і узагальнити диференціальне числення
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Доповідь зробить всесвітньо відомий математик, випускник механіко-математичного факультету КДУ ім. Т.Г. Шевченка, член Київського математичного товариства, професор Борис Циган (Northwestern University, США).
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https://www.youtube.com/watch?v=3OdjAhKOWLU
https://www.youtube.com/watch?v=ZtTU8m5k7K8
https://www.youtube.com/watch?v=3OdjAhKOWLU

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"Chicken Tarantella" by Alexey Shor, Performed by Andrey Gugnin (piano) and Misha Katz (conductor) with Malta...
"Chicken Tarantella" by Alexey Shor, Performed by Andrey Gugnin (piano) and Misha Katz (conductor) with Malta Philharmonic Orchestra as an encore at the closing concert of the Malta International Piano Festival 2017.
https://www.youtube.com/watch?v=qwR3M25pGQU&feature=share

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Arterys Receives [FDA Approval] for Cloud-Based Medical [...] Visualization and Quantification of Cardiac 4D Flow...
Arterys Receives [FDA Approval] for Cloud-Based Medical [...] Visualization and Quantification of Cardiac 4D Flow and cardiac Function Available to Physicians in clinical settings (02 Nov, 2016)
http://www.prnewswire.com/news-releases/arterys-receives-510k-clearance-for-arterys-software-for-cloud-based-medical-image-visualization-and-quantification-300355923.html

Arterys Receives FDA Clearance For The First [...] Cloud Software With Deep Learning For Cardiac MRI
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Arterys Cardio DL(TM) is the first technology to be cleared by the FDA that leverages cloud computing and deep learning in a clinical setting. Arterys Cardio DL(TM) provides automated, editable ventricle segmentations based on conventional cardiac MRI images that are as accurate as segmentations performed manually by experienced physicians. The U.S. clearance complements the CE Mark received in late December for commercialization of the Arterys Cardio DL(TM) product in Europe.
"""
http://www.prnewswire.com/news-releases/arterys-receives-fda-clearance-for-the-first-zero-footprint-medical-imaging-analytics-cloud-software-with-deep-learning-for-cardiac-mri-300387880.html

http://www.prnewswire.com/news-releases/arterys-receives-fda-clearance-for-the-first-zero-footprint-medical-imaging-analytics-cloud-software-with-deep-learning-for-cardiac-mri-300387880.html

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