[mamcx]

> 2. What type of applications would benefit consumers and general computing at scale?

I'm not a expert, but this will make "SIMD" nearly everything.

In special, will allow data to be encoded as vectors and processed in batches ie: make it more than is now, and as emergent realization of the data, not as an "extra" to be added, sometimes, like actual SIMD instructions today.

This already is a thing in some rdbms/pipeline, where combine per-"row" and columnar processing is optimal.

[b0tzzzzzzman]

So more in line with GPUs purpose for parallel processing? But extending the applications available for processing or utilization, currently reserved for 'ML' and 'AI' typical means as we know them today?

Sounds like a merging os CPU and GPU .. I understand the simplistic nature of that conclusion. But, only can guess at realword results.

[zozbot234]

I don't think this is correct. 128-bit RISC-V has nothing to do with SIMD, at all. It was created to future-proof RISC-V wrt. exascale distributed computing, where even a full 64-bit address space might be insufficient.

[mamcx]

> 128-bit RISC-V has nothing to do with SIMD,

Maybe. The point is that you can encode more per unit, so you can batch more things in one go. Is not exactly SIMD as is today, but is also the same idea.

[b0tzzzzzzman]

Sorry, I was generally asking about how it related to 128bit broad general computing instructs. But also interested in RISC related context.

Thanks for clarifying!