NVIDIA, Mentor Graphics May Harm GCC

[johnc]

Where is the Point?

The point is that CUDA is something that is almost entirely used in a supercomputing context, especially when used with OpenACC. Having a dependency on a binary driver doesn't harm any of those customers.

Like I said, this whole thread is just more nvidia froth. Why not just post up the Linus pic and call it a day?

[Nille]

Its not our problem if you ignore the point of concerns.

[ldesnogu]

ARM:

http://infocenter.arm.com/help/index.jsp

http://infocenter.arm.com/help/topic/com.arm.doc.qrc0001l/QRC0001_UAL.pdf

Imagination:

http://www.imgtec.com/mips/developers/whitepapers.asp

Qualcomm:
You need to sign up with https://developer.qualcomm.com/ to access anything useful that is specific to Qualcomm products, but both Adreno and Snapdragon use the ARM ISA anyhow so it isn't a big deal in this case.

It took me less than 5 minutes to find all of this.

You're kidding right? We are talking GPU here...

[IanS]

You're kidding right? We are talking GPU here...

Actually, if you had any clue you would know that OpenACC is for heterogeneous parallel computing, which means using all available processing resources, both CPUs and GPUs. The examples I posted are to prove your statement false about those companies not posting documentation and to quiet those dumb enough to use your post as their primary source on the topic of ASI documentation availability instead of taking a few minutes to check for themselves.

[Nille]

Actually, if you had any clue you would know that OpenACC is for heterogeneous parallel computing, which means using all available processing resources, both CPUs and GPUs. The examples I posted are to prove your statement false about those companies not posting documentation and to quiet those dumb enough to use your post as their primary source on the topic of ASI documentation availability instead of taking a few minutes to check for themselves.

From the start we talk about GPU ISA end the Article write about GPU ISA.

[ldesnogu]

Actually, if you had any clue you would know that OpenACC is for heterogeneous parallel computing, which means using all available processing resources, both CPUs and GPUs. The examples I posted are to prove your statement false about those companies not posting documentation and to quiet those dumb enough to use your post as their primary source on the topic of ASI documentation availability instead of taking a few minutes to check for themselves.

So where is ARM GPU documentation? As a reminder here is my original post:

As far as I know ARM doesn't provide documentation for their GPUs. Imagination don't either. And Qualcomm don't.

In fact, I guess only Intel and AMD have provided doc for their instruction set, so Michael's contact seems wrong about everyone publishing documentation...

I added the highlight just in case you can't see it.

As Nille just wrote all of this discussion has been around GPU and my message explicitly stated GPU.

[johnc]

Its not our problem if you ignore the point of concerns.

I'm not ignoring your concerns, I'm dismissing them as absurd.

[AnonymousCoward]

I'm not ignoring your concerns, I'm dismissing them as absurd.

I'm dismissing you as absurd [email protected]. Why don't you guys @nvidia develop your own OpenACC compiler suite instead of leeching off open source projects?

[ldesnogu]

I'm dismissing you as absurd [email protected]. Why don't you guys @nvidia develop your own OpenACC compiler suite instead of leeching off open source projects?

I think nvidia already got an OpenACC compiler from buying PGI

[johnc]

I'm dismissing you as absurd [email protected]. Why don't you guys @nvidia develop your own OpenACC compiler suite instead of leeching off open source projects?

I do not work at or for or own stock in either nvidia, amd or intel.