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Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

blogs.nvidia.com

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Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#301

Post by nl »

dannyw wrote: post #90
dijit wrote: post #18

Earlier quoted context omitted.

I don't like that people downvoted you for asking a question. If someone thinks the question is stupid or not doesn't mean that a downvote is warranted. (nor an upvote, answer the question and move on.) To answer though; it's just a coincidence, as you might already know Nvidia uses famous scientists (especially in the field of electricity) as the names of their microarchitectures. * Volta (Alessandro Volta, inventor…

I'm sure Nvidia is paying a nice licensing fee to Ampere for the registered trademark. Otherwise it'd be sheer stupidity.

Not sure why this is being downvoted because it's a good point.

Ampere, Ampere Semiconductor and Ampere Computing are all registered trademarks of the computing company in the class NVidia would need, and they'd have a good case this this is causing confusion (they'd probably cite this thread).

It'll be interesting to see what happens.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#303

Post by nl »

jefft255 wrote: post #123
dannyw wrote: post #90

Earlier quoted context omitted.

I'm sure Nvidia is paying a nice licensing fee to Ampere for the registered trademark. Otherwise it'd be sheer stupidity.

I don’t know if you’re being sarcastic, but trademarking a famous scientist’s name seems legally dubious at best. Is that allowed? I.e. Tesla the car company and nvidia Tesla’s GPUs; is there a gentleman’s agreement between these two or is such a name simply not trademarkable?

trademarking a famous scientist’s name seems legally dubious at best

It's pretty common - the Apple Newton(TM) and Salesforce Einstein(TM) spring to mind.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#304

Post by nl »

adev_ wrote: post #134
pjmlp wrote: post #93

Earlier quoted context omitted.

NVidia is not to blame if the competition is stuck using C, printf debugging for computing shaders, cannot make their minds about which bytecode to support for heterogenous GPGPU programming. The situation is so bad that OpenCL 1.2 got promoted to OpenCL 3.0 and SYSCL is now backend independent, while hip only works on Linux. As for Python, guess who is on the forefront of GPU Programming with Python, https://www.nvi…

> NVidia is not to blame if the competition is stuck using C, printf debugging for computing shaders, cannot make their minds about which bytecode to support for heterogenous GPGPU programming. I don't bite this argument. Nvidia made close to no effort to support OpenCL and promoted their own technology CUDA. Even in 2020, OpenCL support for Nvidia hardware is close to nonexistent. When the main actor of the market d…

> I don't bite [buy] this argument.

I don't think NVidia's half-hearted support for OpenCL has anything to do with the argument at all.

It's a really good point that other tool vendors haven't stepped up and provided modern development tools for OpenCL (or any of AMD's various attempts), while NVidia has great dev tools.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#305

Post by capableweb »

ksec wrote: post #293
bhouston wrote: post #187

Earlier quoted context omitted.

And even before that there was: * GeForce (for Andrea Geforce, the first to use the color electric green) * Riva (for Jose Riva, the discoverer that you can use TNT to generate electricity.)

Wow, I didn't know that. Wasn't it done in contest by Gamers? So what does "Radeon" mean? Edit: Yes according to Wiki. So we may never know whether Before was actually dedicated to the person. I remember vaguely reading PC Gamer at the time that was not the case at all.

Radeon comes from ATI (later acquired by AMD) so probably doesn't follow the same naming scheme as Nvidia does.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#306

Post by nl »

wegs wrote: post #113
solidasparagus wrote: post #106

Earlier quoted context omitted.

> I haven't seen e.g. GPU-based databases reach broad adoption Because it's very questionable whether GPU-based databases are generally valuable. GPUs accelerate compute, not all of the other things that databases do and often GPUs are not cost effective. > I dabble in GPU, but never beyond prototypes, for those reasons And I bet if you dabbled a little further you still wouldn't use it because it isn't cost-effectiv…

You're making a lot of lousy assumptions. As a few points of reference: * My list comprehensions run over gigabytes of data (but sometimes 3 orders of magnitude bigger or smaller). Stream processing of big data. It's not deep learning, but it's slow and potentially deeply parallel. It would move to MIMD trivially, and SIMD with just a little bit of work. * There are programming languages which support models almost e…

If this is the workload you are looking at, then you really should look at CuPy.

I know you discard this because you don't like the NVidia dependency, but it's not much different to switching a BLAS library or using Intel's numerically optimised Numpy distribution. Your code remains the same, you just change the import and get magic speed.

If you still refuse to look at it, then perhaps consider cuBLAS[1], which you can switch out for any other BLAS library (eg [2]). It's one thing that AMD actually has bothered to do and they have version available for CPUs[3] and GPUs[4].

[1] https://developer.nvidia.com/cublas

[2] https://towardsdatascience.com/is-your-numpy-optimized-for-s...

[3] https://developer.amd.com/amd-aocl/blas-library/

[4] https://rocmdocs.amd.com/en/latest/ROCm_Tools/rocblas.html

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#307

Post by capableweb »

smabie wrote: post #271
bhouston wrote: post #187

Earlier quoted context omitted.

And even before that there was: * GeForce (for Andrea Geforce, the first to use the color electric green) * Riva (for Jose Riva, the discoverer that you can use TNT to generate electricity.)

Who is Andrea Geforce? I can't find any information about him/her.

Wikipedia tells the following about the Geforce name:

> The "GeForce" name originated from a contest held by Nvidia in early 1999 called "Name That Chip". The company called out to the public to name the successor to the RIVA TNT2 line of graphics boards. There were over 12,000 entries received and 7 winners received a RIVA TNT2 Ultra graphics card as a reward.[2][3]

- https://web.archive.org/web/20000608011648/http://www.nvidia...

- https://tweakers.net/nieuws/1967/nVidia-Name-that-chip-conte...

So not sure the origin is actually from Andrea Geforce, I can certainly not find any sources that confirm that.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#308

Post by 14113 »

pjmlp wrote: post #175
not2b wrote: post #169

Earlier quoted context omitted.

It would suffice for NVIDIA to open-source enough specifications and perhaps some subset of core software to enable others to build high quality open source (or even proprietary) software that targets NVIDIA's architecture. They can't hire every programmer in the world; if other programmers can build high-performance software that takes advantage of their platform, that increases the value of their hardware. Your com…

Anyone is free to target PTX and do their own compiler on top. In fact, given that it is there since version 3, there are compilers available for almost all major programing languages, including managed ones. While OpenCL is a C world, and almost no one cares about the C++ extensions and even less vendors care about SPIR-V. Also the community doesn't seem to be bothered that for a long time, the only SYCL implementat…

This is wrong - triSYCL is roughly the same age as ComputeCpp, and hipSYCL is only slightly younger. There has been a lot of academic interest in SYCL, but as with any new technology (especially niche technologies) it's always going to take time to get people on board.

Also, from a quick look at your profile, you seem to have quite a lot of comments criticizing or commenting on CodePlay. Do you have some sort of relationship or animosity with them?

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#309

Post by namibj »

jabl wrote: post #110
Keyframe wrote: post #42

5 petaflops in DGX? That alone would put one of those babies into TOP500 top 50, and a superPOD would make no. 1, no? Well, if it could do that performance on Linpack/Rmax.

A previous generation superPOD (with V100 GPU's) is currently at #20. Watch this space...

Yeah, use this with PCIe4 and add a dense PCIe facric.

Broadcom https://www.broadcom.com/products/pcie-switches-bridges/expr... and Microchip https://www.microchip.com/wwwproducts/en/PM42100 have 98/100 lane PCIe4 fabric switches to offer.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#310

Post by morgancmartin »

catblast wrote: post #264
ska wrote: post #158

Earlier quoted context omitted.

> but this is really one of these stories were a bunch of people invented the same thing very closely to each other due to a precipitating reaching of understanding. This is by far the dominant case of invention. Truly independent work is incredibly rare.

The thing that's a little different about Tesla in the US at least, is he is so incredibly fetishized by eg high-profile idiots: https://theoatmeal.com/comics/tesla , or conspiracy nutjobs like the International Tesla Institute ( http://teslatech.info/ttevents/prgframe.htm http://tesla.org/tesla_fair_abq.htm ) publishing and promoting Tesla related conspiracies and hawking investments in snake-oil technology like Ran…

I've always enjoyed the oatmeal's comics. What is your reason for referring to him as an idiot?
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