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[NVIDIA]Microsoft going All-in on GPU computing - Page 8

post #71 of 151
I'm surprised to see so many people worried about nV going under; it seems pretty clear to me that C++ AMP will be the new standard, and CUDA will remain an option if or until it's proven obsolete. It's not as though CUDA was ever a big thing for the consumer market in the first place, and as long as it exists, it will have a place in the business market.

What this does mean, however, is rough tides for Intel. AMD is way ahead of the game without the introduction of C++ AMP. Yeah, their market share and profit margins are way down now, but they made an all-in bet and it looks like it was a good one.

With AMD already pushing out APUs with formidable processing power and unprecedented integrated graphics processing power, they are already ready to adapt C++ AMP on cheap, low power platforms. Intel needs to make up ground on the APU forefront, or somehow destroy AMD in terms of raw processing power to a point where GPU integration and C++ AMP don't matter. AMD's GPU integration is already a huge problem for Intel as it is.

This means hard times for Intel and less-easy times for nV, and great times for AMD/the PC community.
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post #72 of 151
When it comes to compute support, Nvidia is unrivaled.

Ever heard of Nvidia Nexus? A plug in for Visual Studio, you know, the most completely, cohesive, and feature-rich IDE on any platform.(Much better than that fragmented open-source crap known as Code Blocks and Eclipse)

This is good news because it benefits the developer. Whenever something benefits the developer everyone should get behind them; its an automatic win for users as well.
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post #73 of 151
nVidia will die because of this, the only manufacturer I've ever seen creating an All-in-one GPU solution was ati with their HD3450 all in one.
post #74 of 151
Good news for AMD. Especially with their up and coming HD7000s being designed for GPU computing and their APUs.
post #75 of 151
I want to clerify my previous post: I cant currently afford dual 6970's but I will eventually get them or something better. I will save money and prices will come down.

I should not also have to drop in a Nvidia GPU to process things like "physx" or "CUDA" because it is not a hardware limitation it is SOFTWARE.

I have personally achieved running physx on my current ATI 4870 by using special drivers and a super old version of physx released before nvidia acquired physx.

I can run all the demo's and play unreal III with the special physx enabled levels (meant only for nvidia cards) just fine.

So I will go back to why I am so pissed off about Cuda and physx, its all software limitations (just like SLI lock/ hacking to enable it)

Its like when cell phone makers lock boot loaders and prevent people from loading custom roms (deemed legal through a supreme court ruling).

Cuda and physx and SIL are basically illegal software locks and imposed limitations as far as I am concerned. Make GPU processing open and widely supported.

SLI, Crossfire, Cuda, physx, Havok these are all things that should not artificially limit what you can do with your personally owned hardware.

AMD vs Nvidia is like Apple OS versus Microsoft OS - when it should be more like red kool-aid vs green kool-aid.

and Im buying who ever is selling more kool-aid cheaper.
Edited by Killam0n - 6/19/11 at 10:53am
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post #76 of 151
Quote:
Originally Posted by Killam0n View Post
I should not also have to drop in a Nvidia GPU to process things like "physx" or "CUDA" because it is not a hardware limitation it is SOFTWARE.
Software that runs ON the GPU... PhysX works currently on the CPU but it's horribly slow. There's a reason why they run it on GPU architecture... While it would be nice to run CUDA/PhysX on any GPU, it just doesn't work out that way. ATI just never invested money into R & D to develop an alternative that's equally as good. Havok on OpenCL is a start but still has a ways to go:
post #77 of 151
Quote:
Originally Posted by Heavy MG View Post
Yet the AMD 58xx and 69xx series have more computing power than any Nvidia with CUDA.
You have no clue. Go find me an AMD card that can best a Tesla. Go now, go. Oh damn, you CAN'T!!
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post #78 of 151
Quote:
Originally Posted by nub View Post
The reason PhysX runs horribly on cpu's is because Nvidia coded it to run horribly on cpu's. Re. Havok and Bullet - they do a lot more than make a banner wave or a little smoke...
You obviously have no freaking clue what your talking about. Nvidia did not purposefully code it to work bad on CPU's. The fact is CPU's are NOT powerful enough to run Physx. GPU computing is so fare more advanced then a normal CPU it's not even close. As stated above by someone else, there is a reason why GPU Supercomputer's exist, there is NOTHING out today that can beat them. Period.

Cuda is more advanced then Stream ever will be in it's current form. ATI as of now, just has it there, pretty much to say they have it as an option. But they don't push it like Nvidia does with Cuda and Tesla. There is a reason why nearly every university uses Tesla for research. In fact NIH (National Inst of Health) has well over 2 billion dollars worth of Cuda/Tesla servers. As a research patient there I was able to nose around and talk to a lot of people about how exactly they go about their research.

Simply put ATI nor anyone else has the raw power that Cuda has with Tesla. Period.
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post #79 of 151
Quote:
Originally Posted by Cyrilmak View Post
You obviously have no freaking clue what your talking about. Nvidia did not purposefully code it to work bad on CPU's. The fact is CPU's are NOT powerful enough to run Physx. GPU computing is so fare more advanced then a normal CPU it's not even close. As stated above by someone else, there is a reason why GPU Supercomputer's exist, there is NOTHING out today that can beat them. Period.

Cuda is more advanced then Stream ever will be in it's current form. ATI as of now, just has it there, pretty much to say they have it as an option. But they don't push it like Nvidia does with Cuda and Tesla. There is a reason why nearly every university uses Tesla for research. In fact NIH (National Inst of Health) has well over 2 billion dollars worth of Cuda/Tesla servers. As a research patient there I was able to nose around and talk to a lot of people about how exactly they go about their research.

Simply put ATI nor anyone else has the raw power that Cuda has with Tesla. Period.

Read this and learn something before you post insults.
http://realworldtech.com/page.cfm?Ar...0510142143&p=1
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post #80 of 151
Quote:
Originally Posted by Cyrilmak View Post
You obviously have no freaking clue what your talking about. Nvidia did not purposefully code it to work bad on CPU's. The fact is CPU's are NOT powerful enough to run Physx. GPU computing is so fare more advanced then a normal CPU it's not even close. As stated above by someone else, there is a reason why GPU Supercomputer's exist, there is NOTHING out today that can beat them. Period.

Cuda is more advanced then Stream ever will be in it's current form. ATI as of now, just has it there, pretty much to say they have it as an option. But they don't push it like Nvidia does with Cuda and Tesla. There is a reason why nearly every university uses Tesla for research. In fact NIH (National Inst of Health) has well over 2 billion dollars worth of Cuda/Tesla servers. As a research patient there I was able to nose around and talk to a lot of people about how exactly they go about their research.

Simply put ATI nor anyone else has the raw power that Cuda has with Tesla. Period.
PhysX does not support SSE or MMX on CPUs. The code in PhysX is very deprecated.
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