Group items tagged nvidia - Advanced Concepts Team

Picture This: NVIDIA GPUs Sort Through Tens of Millions of Flickr Photos - 2 views

blogs.nvidia.com/...flickr

AI

shared by Alexander Wittig on 21 Jul 15 - No Cached

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Alexander Wittig on 21 Jul 15

Strange and exotic cityscapes. Desolate wilderness areas. Dogs that look like wookies. Flickr, one of the world's largest photo sharing services, sees it all. And, now, Flickr's image recognition technology can categorize more than 11 billion photos like these. And it does it automatically. It's called "Magic View." Magical deep learning! Buzzword attack!

<div class="cArrow"> </div><div class="cContentInner">Strange and exotic cityscapes. Desolate wilderness areas. Dogs that look like wookies. Flickr, one of the world's largest photo sharing services, sees it all. And, now, Flickr's image recognition technology can categorize more than 11 billion photos like these. And it does it automatically. It's called "Magic View." Magical deep learning! Buzzword attack!</div>

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LeopoldS on 21 Jul 15

and here comes my standard question: how can we use this for space? fast detection of natural disasters onboard?

<div class="cArrow"> </div><div class="cContentInner">and here comes my standard question: how can we use this for space? fast detection of natural disasters onboard?</div>

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Alexander Wittig on 22 Jul 15

Even on ground. You could for example teach it what nuclear reactors or missiles or other weapons you don't want look like on satellite pictures and automatically scan the world for them (basically replacing intelligence analysts).

<div class="cArrow"> </div><div class="cContentInner">Even on ground. You could for example teach it what nuclear reactors or missiles or other weapons you don't want look like on satellite pictures and automatically scan the world for them (basically replacing intelligence analysts).</div>

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Alexander Wittig on 23 Jul 15

In fact, I think this could make a nice ACT project: counting seals from satellite imagery is an actual (and quite recent) thing: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092613 In this publication they did it manually from a GeoEye 1 b/w image, which sounds quite tedious. Maybe one can train one of those image recognition algorithms to do it automatically. Or maybe it's a bit easier to count larger things, like elephants (also a thing).

<div class="cArrow"> </div><div class="cContentInner">In fact, I think this could make a nice ACT project: counting seals from satellite imagery is an actual (and quite recent) thing: <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092613" rel="nofollow" target="_blank">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092613</a> In this publication they did it manually from a GeoEye 1 b/w image, which sounds quite tedious. Maybe one can train one of those image recognition algorithms to do it automatically. Or maybe it's a bit easier to count larger things, like elephants (also a thing).</div>

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jcunha on 23 Jul 15

In HiPEAC (High Performance, embedded architecture and computation) conference I attended in the beginning of this year there was a big trend of CUDA GPU vs FPGA for hardware accelerated image processing. Most of it orbitting around discussing who was faster and cheaper with people from NVIDIA in one side and people from Xilinx and Intel in the other. I remember of talking with an IBM scientist working on hardware accelerated data processing working together with the Radio telescope institute in Netherlands about the solution where they working on (GPU CUDA). I gathered that NVIDIA GPU suits best in applications that somehow do not rely in hardware, having the advantage of being programmed in a 'easy' way accessible to a scientist. FPGA's are highly reliable components with the advantage of being available in radhard versions, but requiring specific knowledge of physical circuit design and tailored 'harsh' programming languages. I don't know what is the level of rad hardness in NVIDIA's GPUs... Therefore FPGAs are indeed the standard choice for image processing in space missions (a talk with the microelectronics department guys could expand on this), whereas GPUs are currently used in some ground based (radio astronomy or other types of telescopes). I think that on for a specific purpose as the one you mentioned, this FPGA vs GPU should be assessed first before going further.

<div class="cArrow"> </div><div class="cContentInner">In HiPEAC (High Performance, embedded architecture and computation) conference I attended in the beginning of this year there was a big trend of CUDA GPU vs FPGA for hardware accelerated image processing. Most of it orbitting around discussing who was faster and cheaper with people from NVIDIA in one side and people from Xilinx and Intel in the other. I remember of talking with an IBM scientist working on hardware accelerated data processing working together with the Radio telescope institute in Netherlands about the solution where they working on (GPU CUDA). I gathered that NVIDIA GPU suits best in applications that somehow do not rely in hardware, having the advantage of being programmed in a 'easy' way accessible to a scientist. FPGA's are highly reliable components with the advantage of being available in radhard versions, but requiring specific knowledge of physical circuit design and tailored 'harsh' programming languages. I don't know what is the level of rad hardness in NVIDIA's GPUs... Therefore FPGAs are indeed the standard choice for image processing in space missions (a talk with the microelectronics department guys could expand on this), whereas GPUs are currently used in some ground based (radio astronomy or other types of telescopes). I think that on for a specific purpose as the one you mentioned, this FPGA vs GPU should be assessed first before going further.</div>

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Paul N on 29 Jul 15

You're forgetting power usage. GPUs need 1000 hamster wheels worth of power while FPGAs can run on a potato. Since space applications are highly power limited, putting any kind of GPU monster in orbit or on a rover is failed idea from the start. Also in FPGAs if a gate burns out from radiation you can just reprogram around it. Looking for seals offline in high res images is indeed definitely a GPU task.... for now.

<div class="cArrow"> </div><div class="cContentInner">You're forgetting power usage. GPUs need 1000 hamster wheels worth of power while FPGAs can run on a potato. Since space applications are highly power limited, putting any kind of GPU monster in orbit or on a rover is failed idea from the start. Also in FPGAs if a gate burns out from radiation you can just reprogram around it. Looking for seals offline in high res images is indeed definitely a GPU task.... for now.</div>

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jcunha on 31 Jul 15

The discussion of how to make FPGA hardware acceleration solutions easier to use for the 'layman' is starting btw http://reconfigurablecomputing4themasses.net/.

<div class="cArrow"> </div><div class="cContentInner">The discussion of how to make FPGA hardware acceleration solutions easier to use for the 'layman' is starting btw <a href="http://reconfigurablecomputing4themasses.net/" rel="nofollow" target="_blank">http://reconfigurablecomputing4themasses.net/</a>.</div>

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NVIDIA GF100 Architecture and Feature Preview - HotHardware - 3 views

hothardware.com/...chitecture-and-Feature-Preview

inf

shared by Francesco Biscani on 18 Jan 10 - Cached

Francesco Biscani on 18 Jan 10

NVIDIA Fermi preview...

<div class="cArrow"> </div><div class="cContentInner">NVIDIA Fermi preview...</div>

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Juxi Leitner on 21 Jan 10

sllllll, nerd porn ;) awesome

<div class="cArrow"> </div><div class="cContentInner">sllllll, nerd porn ;) awesome</div>

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NVIDIA Releases Open-Source GPU Kernel Modules - 0 views

https://developer.nvidia.com/blog/nvidia-releases-open-source-gpu-kernel-modules/

technology AI

started by eblazquez on 12 May 22 no follow-up yet

A little bit of ACT and NVIDIA Goes to the Moon with CUDA and Tegra - 3 views

vr-zone.com/...14146.html

AI

shared by Dario Izzo on 08 Dec 11 - No Cached

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Dario Izzo on 08 Dec 11

The famous Mars Rover Simulator was a piece of the Evolution in Robotic Island Ariadna!!!!! But again, its only an algorithm :) whats new?

<div class="cArrow"> </div><div class="cContentInner">The famous Mars Rover Simulator was a piece of the Evolution in Robotic Island Ariadna!!!!! But again, its only an algorithm :) whats new?</div>

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Ma Ru on 08 Dec 11

Go Plymouth!

<div class="cArrow"> </div><div class="cContentInner">Go Plymouth!</div>

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Torvalds comments on NVIDIA - 3 views

www.heise.de/...-den-Stinkefinger-1619616.html

INF

shared by dejanpetkow on 18 Jun 12 - No Cached

dejanpetkow on 18 Jun 12

Soooo beautiful!!! Just start at 49:25.

<div class="cArrow"> </div><div class="cContentInner">Soooo beautiful!!! Just start at 49:25.</div>

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NVIDIA Newsroom - 2 views

pressroom.nvidia.com/...customrel.do

INF science PHY

shared by LeopoldS on 28 Oct 10 - No Cached

LeopoldS on 28 Oct 10

the fastest supercomputer seems to be in China now!

<div class="cArrow"> </div><div class="cContentInner">the fastest supercomputer seems to be in China now!</div>

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Tilera Corporation - 2 views

tilera.com/...press_release_091026.php

INF gadget computing

shared by LeopoldS on 26 Oct 09 - Cached

LeopoldS on 26 Oct 09

who wants 100 cores ... future of PAGMO?

<div class="cArrow"> </div><div class="cContentInner">who wants 100 cores ... future of PAGMO?</div>

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Francesco Biscani on 27 Oct 09

Well nVidia provides 10.000 "cores" in a single rack on thei Teslas...

<div class="cArrow"> </div><div class="cContentInner">Well nVidia provides 10.000 "cores" in a single rack on thei Teslas...</div>

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LeopoldS on 27 Oct 09

remember that you were recommending its purchase already some time ago ... still strong reasons to do so?

<div class="cArrow"> </div><div class="cContentInner">remember that you were recommending its purchase already some time ago ... still strong reasons to do so?</div>

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Francesco Biscani on 27 Oct 09

The problem with this flurry of activity today regarding multicore architectures is that it is really unclear which one will be the winner in the long run. Never understimate the power of inertia, especially in the software industry (after all, people are still programming in COBOL and Fortran today). For instance, NVIDIA gives you the Teslas with 10000 cores, but then you have to rewrite extensive parts of your code in order to take advantage of this. Is this an investment worth undertaking? Difficult to say, it would certainly be if the whole software world moves into that direction (which is not happening - yet?). But then you have other approaches coming out, suche as the Cell processor by IBM (the one on the PS3) which has really impressive floating point performance and, of course, a completely different programming model. The nice thing about this Tilera processor seems to be that it is a general-purpose processor, which may not require extensive re-engineering of existing code (but I'm really hypothesizing, since the thechincal details are not very abundant on their website).

<div class="cArrow"> </div><div class="cContentInner">The problem with this flurry of activity today regarding multicore architectures is that it is really unclear which one will be the winner in the long run. Never understimate the power of inertia, especially in the software industry (after all, people are still programming in COBOL and Fortran today). For instance, NVIDIA gives you the Teslas with 10000 cores, but then you have to rewrite extensive parts of your code in order to take advantage of this. Is this an investment worth undertaking? Difficult to say, it would certainly be if the whole software world moves into that direction (which is not happening - yet?). But then you have other approaches coming out, suche as the Cell processor by IBM (the one on the PS3) which has really impressive floating point performance and, of course, a completely different programming model. The nice thing about this Tilera processor seems to be that it is a general-purpose processor, which may not require extensive re-engineering of existing code (but I'm really hypothesizing, since the thechincal details are not very abundant on their website).</div>

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Ma Ru on 27 Oct 09

Moreover PaGMO computation model is more towards systems with distributed memory, and not with shared memory (i.e. multi-core). In the latter, at certain point the memory access becomes the bottleneck.

<div class="cArrow"> </div><div class="cContentInner">Moreover PaGMO computation model is more towards systems with distributed memory, and not with shared memory (i.e. multi-core). In the latter, at certain point the memory access becomes the bottleneck.</div>

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CUDA-Enabled Apps: Measuring Mainstream GPU Performance : Help For the Rest of Us - Rev... - 0 views

www.tomshardware.com/...nvidia-cuda-gpgpu,2299.html

gpgpu cuda nvidia computer science

shared by Francesco Biscani on 19 May 09 - Cached

Francesco Biscani on 19 May 09

What will the name of the CUDA-enabled PaGMO be? CuDMO, CyGMO?

<div class="cArrow"> </div><div class="cContentInner">What will the name of the CUDA-enabled PaGMO be? CuDMO, CyGMO?</div>

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NVIDIA Tesla - GPU Computing Solutions for HPC - 0 views

www.nvidia.com/...tesla_computing_solutions.html

supercomputing technology GPU

shared by ESA ACT on 24 Apr 09 - Cached

ESA ACT on 24 Apr 09

Graphic cards in the core of a supercomputer.

<div class="cArrow"> </div><div class="cContentInner">Graphic cards in the core of a supercomputer.</div>

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GTC On-Demand Featured Talks | GPU Technology Conference - 3 views

on-demand-gtc.gputechconf.com/...on-demand-gtc.php

AI

shared by Marcus Maertens on 27 Nov 18 - No Cached

Marcus Maertens on 27 Nov 18

NVIDIA published around 154 talks focussed on AI from their conference this year...

<div class="cArrow"> </div><div class="cContentInner">NVIDIA published around 154 talks focussed on AI from their conference this year...</div>

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Drink up! Beer Tasting Robot Uses AI to Assess Quality - NVIDIA Developer News CenterNV... - 1 views

news.developer.nvidia.com/obot-uses-ai-to-assess-quality

AI fun

shared by Marcus Maertens on 19 Jul 18 - No Cached

Marcus Maertens on 19 Jul 18

Meanwhile in Australia...

<div class="cArrow"> </div><div class="cContentInner">Meanwhile in Australia...</div>

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MIT, Mass Gen Aim Deep Learning at Sleep Research | NVIDIA Blog - 2 views

blogs.nvidia.com/...rning-at-study-of-sleep-stages

AI BIO

shared by Marcus Maertens on 05 Apr 18 - No Cached

Marcus Maertens on 05 Apr 18

Neural Networks to analyse sleeplessness.

<div class="cArrow"> </div><div class="cContentInner">Neural Networks to analyse sleeplessness.</div>

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Refik Anadol at the AI Art Gallery at GTC 2021 | NVIDIA - 0 views

www.nvidia.com/...refik-anadol

shared by eblazquez on 13 Dec 21 - No Cached

eblazquez on 13 Dec 21

A very nice expo currently showcased in Berlin, well worth a visit. https://www.koeniggalerie.com/exhibitions/38455/machine-hallucinations-nature-dreams/ The concept is quite cool and teh result just stunning (I recommend giving the youtube videos a good luck on your TV if you have teh chance)

<div class="cArrow"> </div><div class="cContentInner">A very nice expo currently showcased in Berlin, well worth a visit. <a href="https://www.koeniggalerie.com/exhibitions/38455/machine-hallucinations-nature-dreams/" rel="nofollow" target="_blank">https://www.koeniggalerie.com/exhibitions/38455/machine-hallucinations-nature-dreams/</a> The concept is quite cool and teh result just stunning (I recommend giving the youtube videos a good luck on your TV if you have teh chance)</div>

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[Phoronix] NVIDIA Readies Its OpenCL Linux Driver - 0 views

www.phoronix.com/scan.php

computer science gpgpu

shared by Francesco Biscani on 13 May 09 - Cached

Francesco Biscani on 13 May 09

Dario: this was the CUDA standardization thing I talked you about.

<div class="cArrow"> </div><div class="cContentInner">Dario: this was the CUDA standardization thing I talked you about.</div>

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Frontier Development Lab (FDL): AI technologies to space science - 3 views

Applications might be of interest to some: https://frontierdevelopmentlab.org/blog/2019/3/1/application-deadline-extended-cftt4?fbclid=IwAR0gqMsHJCJx5DeoObv0GSESaP6VGjNKnHCPfmzKuvhFLDpkLSrcaCwmY_c ...

technology AI space science

started by Marion Nachon on 08 Apr 19 no follow-up yet

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