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Rumored NVIDIA Next Gen-GPU codenamed Hopper gets a registered trademark
Remember a week or three ago when a rumor surfaced about a possible MCM prototype from NVIDIA called hopper? Well, that name is now a registered trademark, and guess who registered it? Yep, NVIDIA.
Next years Nvidia Ampere GPUs have not yet even been announced and now the supposedly next-generation chip generation Hopper info already spreads on the web, Hopper could be based on a multi-die design, you know chiplets.
Hopper (Grace Hopper) is the name of yet another mathematician being applied to architecture. She has been involved in groundbreaking projects, such as the Mark I super-computer (at the time) at Harvard University, and revolutionized computer science with the first high-level programming language COBOL. Now her name is supposed to adorn Nvidia's next-generation GPU: The Hopper architecture is to follow Ampere (presumably RTX 3000) and be manufactured in chiplet (MCM) design.
MCM design scale less for GPUs, think a little about SLI for example and the problems that come with it. However, it also offers significant advantages in production. The larger a chip is, the higher the risk of production error that can render the chip completely unusable (yields). MCM can create far larger packages than the limitations of one chip alone, so they are very scalable. It might be a trend for graphics chips. However, these are for the time being unconfirmed rumors, all of them.
Trademarks
So with that explained once more, this all was based on a rumor, however, NVIDIA registered 'NVIDIA Hopper' as a trademark, and also 'NVIDIA Aerial' which is related to 5G developments. On December 4th the trademarks got registered, and yeah that indicates the rumors to be valid. Hopper will follow next year's Ampere, which indeed could be MCM design but that last part remains speculation.
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tsunami231
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#5741862 Posted on: 12/16/2019 04:20 AM
how the trademarking this? when dish owns the trademark for hopper last i checked
how the trademarking this? when dish owns the trademark for hopper last i checked
geogan
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#5742581 Posted on: 12/18/2019 11:58 AM
I did mean caches and main memory from two different GPUs in an SLI configuration. ie. they are both modifying their own copy of the frame buffers, but then modern algorithms mean that one GPU needs the values of pixels modified by the other GPU in the other GPU memory - it becomes a constant copy of memory back and forth. Compared to a multi-core CPU which only modifies one main memory.
This is not true. Cache snooping is a key aspect of multi-core designs. A given core is not exactly accessing the other cores' caches but it has to be notified when a piece of data that both share is changed. Multiple GPUs in an SLI configuration do not. They work as independent islands. Cores in the same GPU share their caches at a block level where a block is a group of threads.
I did mean caches and main memory from two different GPUs in an SLI configuration. ie. they are both modifying their own copy of the frame buffers, but then modern algorithms mean that one GPU needs the values of pixels modified by the other GPU in the other GPU memory - it becomes a constant copy of memory back and forth. Compared to a multi-core CPU which only modifies one main memory.
Gomez Addams
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#5746384 Posted on: 12/30/2019 11:28 PM
I apologize for the late reply. In some anti-aliasing algorithms they might need that data most of today's algorithms do not. For example, with super-sampling each pixel is computed multiple times (2-4 times), and the mean of the values is used for each pixel so the values of adjacent rows and columns are unnecessary. The data multiple GPUs share are the models' vertices and the textures and they can have their own copies. Since vertexes can be moved from frame to frame that information has to be shared since it relates to models. All of the rendering can be done independently.
I did mean caches and main memory from two different GPUs in an SLI configuration. ie. they are both modifying their own copy of the frame buffers, but then modern algorithms mean that one GPU needs the values of pixels modified by the other GPU in the other GPU memory - it becomes a constant copy of memory back and forth. Compared to a multi-core CPU which only modifies one main memory.
I apologize for the late reply. In some anti-aliasing algorithms they might need that data most of today's algorithms do not. For example, with super-sampling each pixel is computed multiple times (2-4 times), and the mean of the values is used for each pixel so the values of adjacent rows and columns are unnecessary. The data multiple GPUs share are the models' vertices and the textures and they can have their own copies. Since vertexes can be moved from frame to frame that information has to be shared since it relates to models. All of the rendering can be done independently.
BetA
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#5746386 Posted on: 12/30/2019 11:34 PM
Remember a week or three ago when a rumor surfaced about a possible MCM prototype from NVIDIA called hopper? Well, that name is now a registered trademark, and guess who registered it? Yep, NVIDIA. ...
Rumored NVIDIA Next Gen-GPU codenamed Hopper gets a registered trademark
hmm, can i ask, is there any Source for this? maybe a link?
Thanks for the Article Hilbert
Remember a week or three ago when a rumor surfaced about a possible MCM prototype from NVIDIA called hopper? Well, that name is now a registered trademark, and guess who registered it? Yep, NVIDIA. ...
Rumored NVIDIA Next Gen-GPU codenamed Hopper gets a registered trademark
hmm, can i ask, is there any Source for this? maybe a link?
Thanks for the Article Hilbert
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Hopper is dead:
https://getyarn.io/yarn-clip/ce6860ba-3887-4d75-8336-e713c7ec9fc1