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NVIDIA: Adam and Jamie explain parallel processing on GPU's 

artmaze1974
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The full video from the NVIDIA HD Source

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26 авг 2024

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Комментарии : 166   
@Beefstewpotatos
@Beefstewpotatos 16 лет назад
So basically, a CPU can do one thing at a time, compared to a GPU that can do hundreds of thinks at a time. I'm just guessing, cause the demonstration didn't really explain the difference very well, but it was soooooo cool. :P
@scratchyrice
@scratchyrice 15 лет назад
I am a game dev mate. Due to the stream processors now found on modern gpu's, They can be used for a LOT more than just graphics work. For example, The PhysX api can run on a modern 8 series gpu or above, Because of these stream processors and their programability. Methods that were once limited to applications such as maya and 3dsmax, Can now be done at a good 60FPS using modern GPU's. Thats why crysis looks so good. Also offline rendering is done on the cpu, not the gpu, So processor is key.
@rushnerd
@rushnerd 15 лет назад
My GTX280 upgrade from my really cheap card felt to about this comparison. It's that good. OC's impressive on air
@freshbakedclips4659
@freshbakedclips4659 3 года назад
I'm from the future. RTX 2080 isn't that good.
@rushnerd
@rushnerd 3 года назад
@@freshbakedclips4659 LOL! Loving my 3080 though, we've come a loooong way.
@sudd3660
@sudd3660 Год назад
well that is not going to happen again, a 4090 has 16'000 cores now. not enough paintball tubes to fit on stage for that.
@Milkyway2223
@Milkyway2223 11 лет назад
Some stuff can't be done parallel - for example. the calculation of pi. Each step needs the result of the step before it. Stuff like this would be EXREMELY slow on a GPU. (Unless you want to calculate it a thousand times - then GPU would probalby be done before the CPU, because it does those thousand calculations at once, and not after each other, like the CPU)
@cleisonarmandomanriqueagui9176
@cleisonarmandomanriqueagui9176 4 месяца назад
best comment 11 years later , nowadays that everything is machine learning , deep and so on , GPUs are way better for that but in case of PDEs depends
@LegendHidde
@LegendHidde 11 лет назад
If I would have those guys as teachers, I would go to school with a big smile everyday
@beautifulsmall
@beautifulsmall 11 лет назад
if the ball color was better the final picture could be even better
@Smurfman256
@Smurfman256 11 лет назад
I WANNA SEE THEM DO THIS WITH 1920x1080 PAINTBALLS!!!!
@Aranimda
@Aranimda Год назад
At 60 repaintings per second.
@electricpaisy6045
@electricpaisy6045 Год назад
@@Aranimda wwith 4 billion different colours
@Kevrill
@Kevrill 15 лет назад
That's pretty cool to watch at the end where it plays in slow motion
@LukeJF89
@LukeJF89 10 лет назад
I'm detecting that lag may be an issue with this setup.
@Omegeddon
@Omegeddon 8 лет назад
+19Luke89 Needs more Titans
@rushibrahim716
@rushibrahim716 2 года назад
Looking back from the year 2022, audience vibes here were very distinctly 2008 lmao. I just don't see this specific flavour of enthusiasm anymore.
@lyger_playz
@lyger_playz 11 месяцев назад
I still remember when there was so much hype when new tech pieces (both hardware and software) were announced. Nowadays, it's just meh, not that exciting, and very obvious they're just trying to make more money, get richer, rather than help improve technology and help the human society.
@zi11cr7
@zi11cr7 3 месяца назад
8:17 cue Feel Good Inc - Gorillaz
@artexartexartex
@artexartexartex 14 лет назад
You my friend, just made my night, in the least expected way, I couldn't even describe to you.
@MMMAAATTTLLL
@MMMAAATTTLLL 16 лет назад
Adam and Jamie are awesome.
@flamesofhellstudio
@flamesofhellstudio 15 лет назад
I like when he mentions robots you hear the crowd cheer but one over the rest you can clearly hear him say, "YEA! ROBOTS!"
@NightHawke
@NightHawke 15 лет назад
Best. Product. Demo. EVAH!!!
@henriko95
@henriko95 15 лет назад
There will always be a slight difference in the shots. BUT the human eye cannot see it normaly. It is also possible that the gas had less travel distance to the bottom tubes, and therefore shot them first. I would like to apologize for my crappy english, but i'm from norway. I hope this has Enlightened you, S1meN.
@TheBeastUponTheLolz
@TheBeastUponTheLolz 15 лет назад
I wonder how many frames per second you can get on that? :P
@CaseyChesshir
@CaseyChesshir 15 лет назад
check out that slow motion at the end
@dragzeela
@dragzeela 16 лет назад
this is why 3D renders take so long, sadly. Nvidia came out with Some software that allows the GPU to do the actual rendering now in conjunction with AutoDesk's 3D studio
@Nupid_Stoob
@Nupid_Stoob 15 лет назад
the slow motion looks awesome xP
@scratchyrice
@scratchyrice 15 лет назад
The gpu can perform any highly parrallel mathematical computation, Not just graphics specific. So physics, AI flocking, Anything that just requires fast calculations rather than any conditional statements, Which is where the cpu comes in.
@Flybyhacker
@Flybyhacker 14 лет назад
where to get original video??? if you know ....TELL ME
@henriko95
@henriko95 15 лет назад
The video is slowed down so much that the eye would normally see it being fired simultaneously. If two people decided to fire there paintball guns at the same time, they would have the ability to fire really close together, but still it would not be at the exact same time. The rest of the explanation is under here.
@freshbakedclips4659
@freshbakedclips4659 3 года назад
I'm from the future, RTX 2080 isn't that good compared to RTX 3090.
@dapa4
@dapa4 15 лет назад
the mona lisa pic. looks kinda like the old mario graphics
@anyeos
@anyeos 15 лет назад
Aaah ok it is like some "co-processor floating point unit"? :P Not bad but I have an old GPU that is not util for me.
@00snipeu
@00snipeu 15 лет назад
That was awesome!!! Very creative comparison.
@Jschroyer88
@Jschroyer88 14 лет назад
The GPU made it all happen in under 1 second genius. The CPU shot the paintballs out individually. The GPU calculated the air pressure, time, etc. so the paintballs would fire simultaneously and faster than any gun could fire them, without the whole thing exploding.
@henriko95
@henriko95 15 лет назад
Sorry about the mix up in my comments......
@sIrdakz
@sIrdakz 14 лет назад
... that was damn awesome... that was indeed the concept of GPU's...
@jankington216
@jankington216 4 месяца назад
Nvidia reuploaded this with comments turned off
@rockerojuan
@rockerojuan 14 лет назад
Yes a GPU can be really powerful, but a GPU can't do everything by itself, the CPU helps it render more than you think.
@ShoJu
@ShoJu 15 лет назад
Very true, paintball will never be the same again ^^
@47CryXMA
@47CryXMA 15 лет назад
i don't get it. how does this compare to an actual gpu?
@SuperXgerM
@SuperXgerM 15 лет назад
DOOD slo mo is soooooo SICKKKK
@dudetazerd
@dudetazerd 16 лет назад
I luv mythbusters and this vid!
@danny3man
@danny3man 15 лет назад
as anyeos said GPU is for graphics and derivated work.. do you have any idea how long does it takes to render a 3d scene .....i tell you a lot ...from hours to days
@visualdestination
@visualdestination 2 месяца назад
If only i bought nvda stock back then
@ZATMNU
@ZATMNU 15 лет назад
I would've laughed so hard if there was a barrell break or chop xD
@faloc
@faloc 14 лет назад
8bit mona lisa! :)
@MattyBeavs
@MattyBeavs 16 лет назад
woooow! i still dont get it? like kcowneduall said? it just shoots paintballs faster?
@jeremyshaw1
@jeremyshaw1 15 лет назад
How come CPUs still cannot render frames with ease? There is more then just 200pixels at a time. GPU can handle mutliple framebuffers (offline rendering), and can automatically add occulsion, culling, aa, af, textures. That cannot be easily handled by a CPU, on a limited bus, with limited parrall processing capability. Multiplied by millions of times over, the CPU just loses out. It cannot outdo the amout of raw processing the GPU was designed for.
@tomazaga
@tomazaga 15 лет назад
how do u know?
@anyeos
@anyeos 15 лет назад
Yes CPU is single thread but have more options than a GPU. A GPU only process graphics and is limited for that and all graphics derived works. But CPU can do a much more variety of works. In the representation you can see it can walk and aim in range, the other one is more heavy and only can aim parallel. In a real CPU and GPU the like happens.
@iwan0t0smith
@iwan0t0smith 15 лет назад
if every barrel had a machine gun mechanism you could get at least ten. You would also need to work ou t a way of replacing the backdrop
@frother
@frother 15 лет назад
They invited all of the Intel graphics people to this conference to sabotage their employees This is so outrageously inaccurate
@foxracingpeople
@foxracingpeople 15 лет назад
did the mythbusters acc build that thing? wow
@zxcvbnm2992
@zxcvbnm2992 11 лет назад
Could some one explain why we don't use Parallel Processing for everything.
@jakublizon6375
@jakublizon6375 2 года назад
Think of the cpu as a college professor and the gpu as the students he teaches. The professor can solve problems the students simply can't, and can solve individual problems faster. But when it comes to more basic topics, a class of 100 students can solve a 100 question exam much faster than the professor ever could by giving 1 student per question. So it's that the gpu can do more basic operations at once, but the cpu solves more complex individual linear problems faster.
@Cheshire9811
@Cheshire9811 10 лет назад
why not hd?
@Anurag7376
@Anurag7376 11 лет назад
Might be done if we use MISD (Multiple Instructions Single Data)
@vemu333
@vemu333 11 лет назад
writen by Adam Savgae writen >writen
@ernestgamez9794
@ernestgamez9794 6 месяцев назад
God Job Guys
@XFolf
@XFolf 15 лет назад
Does this mean I can take my 260GTX+ to the local field with me and not suck anymore?
@AaronBoisen
@AaronBoisen 15 лет назад
"I LOVE FREE STUFF!!!!!!"
@Semolika
@Semolika 15 лет назад
That was awesome!
@LehdaRi
@LehdaRi 14 лет назад
4:06 Adam: "We're gonna need - we realized - a bigger bot." Ppl: "Yeaaaahh" Jamie: "Yeah we need a bigger bot. Then I started to think we need a REALLY BIG bot." Ppl: "YYYYEEAAAAAAHHHHHHUUUUUYYYY!!!!11oneoneeleven" :D
@scratchyrice
@scratchyrice 15 лет назад
Indeed
@Mosfet510
@Mosfet510 15 лет назад
The Mythbusters are great! BUT....I was waiting for them to blow the canvas up...oh well
@yuttivon
@yuttivon 15 лет назад
lol.. "im a little hard of hearing.." funny thing is he actually is ^_^
@YOUHAVENOFRIENDSFOOL
@YOUHAVENOFRIENDSFOOL 15 лет назад
Have u seen their Quadro FX 5800 card? Its a 4 gb monster!
@tack129
@tack129 15 лет назад
That was awesome.
@scratchyrice
@scratchyrice 15 лет назад
I never said cpu's could render 3d frames with ease. All i was saying is that what nvidia showed here could easily have been done on the cpu, even in realtime. 1100 pixels is not a lot, especialy when ur not applying fragment shaders to each and every one, Comparing to say a resolution of 1280 x 1024, totaling 1310720 pixels, in SCREEN SPACE, then you have to account for all the fragment and vertex calculations being done in object space, Theres a big big diffrence.
@sanderwright74
@sanderwright74 15 лет назад
awesome!
@danny3man
@danny3man 15 лет назад
if it`s a very small scene or if you have a big render farm .... and about video games ..i think you are trying to say that in 3d video games everytime you enter that game the scene it`s rendered...if it`s that so you are wrong ... the scene it`s just loaded from pc , that`s why some games like gta 4 or sacred 2 are so big ....
@demoniack81
@demoniack81 12 лет назад
because it looks cool.
@scratchyrice
@scratchyrice 15 лет назад
Why in the ASSS would you need anything more than a simple CPU to do that? If you like told it what to paint in realtime, Then sure, But that is obviously pre-processed.
@scratchyrice
@scratchyrice 15 лет назад
Maybe fft would be another bad demonstration, But So is what they are doing here. I mean when u open a photograph in photoshop etc, Its not like you see the image scaling across the screen pixel by pixel. IF they really wanted to show parralel processing, They should have used the same idea, BUT rendering something on the canvas in realtime. Now that would be impressive!
@elStusso
@elStusso 16 лет назад
AWESOME!!!!!
@pinhedi
@pinhedi 15 лет назад
Thats funny cause the HDD is fast enough. Th RAM is just there so running app data can be accessed immediately. this is why 3D artists need a lot of it. Is because it is easier to access data that right in front of you. Th HDD is fast enough, but it is more efficient if you can access it in the RAM. also your HDD uses a series of data, while the RAM is parallel and different pieces of data can be accessed at once. this is why you can be talking to some one while rendering a 3D movie.
@FEROLDI_
@FEROLDI_ 3 года назад
Imagina fazer isso com as novas rtx
@csrtitus
@csrtitus 14 лет назад
cool stuff.
@WarGamer75
@WarGamer75 16 лет назад
that was great!
@Trance1041
@Trance1041 16 лет назад
I like!
@PlynPodPrad
@PlynPodPrad 11 лет назад
Wish PS4 presentation had sth like this ^^
@aqu32
@aqu32 15 лет назад
"- good job - nice work ":D
@penguin1853
@penguin1853 14 лет назад
these science stuff is cool
@beatle11
@beatle11 13 лет назад
Ladies and gentlemen; science class is now over!
@bestSVMS
@bestSVMS 15 лет назад
lol the guy hollored I WANT FREE STUFF
@pinhedi
@pinhedi 15 лет назад
but, Then going to ALL my vids and posting stuff there too. That is just creepy.
@NICKSTER117
@NICKSTER117 15 лет назад
you break it, you buy it
@SonarWavePulse
@SonarWavePulse 13 лет назад
And the slow motion shows the diffirent packages of balls arriving with delay, microshutter.
@wherearewenow0123
@wherearewenow0123 15 лет назад
holy shittt!
@stephenm2
@stephenm2 14 лет назад
Liked it and there is a big difference in the CPU and GPU the CPU does all the operations and basic imaging, the GPU then takes that image and renders it making the image manytimes better, some grapgic cards completly skip the CPU anf do all the imaging itself allowing your computer to run at a higher level
@ModestNeophyte
@ModestNeophyte 15 лет назад
EPIC
@MikyLestat
@MikyLestat 15 лет назад
wow it's awesome!!!!
@Theowest
@Theowest 15 лет назад
my nvidia just broke.... Now I can't play on my computer...
@xLittleVinnie
@xLittleVinnie 14 лет назад
@cneyr thanks !
@TruEviLuKki
@TruEviLuKki 15 лет назад
GPU my ass it was just a giant paintball gun aimed at paper with all the paintballs PRESET in the barrels
@R1zZzo
@R1zZzo 14 лет назад
8:49 = fuckin epic :)
@Jaredo66
@Jaredo66 14 лет назад
That's fucking awesome! :P
@rizkyp
@rizkyp 14 лет назад
are they replicating the result or the size of the GPU LOL
@Jtwizzle
@Jtwizzle 15 лет назад
pointless how? its a good demonstration..
@xfol
@xfol 15 лет назад
8:49
@BearlyMadSim
@BearlyMadSim 15 лет назад
it says that, in the gpu each pixels u see on your screen is processed in parallel to each other, compared to cpu each pixels needed to be processed one by one... making GPU process faster than CPU... but still, i dont think the comparison is good enough though... however, that's the simplest way to explain... or at least what i think...
@netherfoam
@netherfoam 14 лет назад
Holy mother of failbots... The "Uber GPU" Has to fire all the "paintball guns" at once! Thatd be amazing. Only one thing... if you had 1100 paintball guns lined up, and had each tied to a piece of sting, yanked the string, you could paint the mona lisa too! Gpu has to do zilch but pull the string -.- Thats NOT parralel tasking or multitasking or w/e they want to call it. Thats something well frankly I think the closest thing youd need to a GPU is a pressure gauge, and air compressor/pump.
@BulkMasterFlex
@BulkMasterFlex 14 лет назад
That's legit.
@DaBurntToaster
@DaBurntToaster 12 лет назад
@zlazher because some people are too stupid to get it by words, and this makes lots of money
@beatle11
@beatle11 14 лет назад
LMAO...Just perfect.
@E4GLE1990
@E4GLE1990 16 лет назад
I wanna have this gun !!! :D