Re: That….doesn’t make any sense?
Combining your points 1,2 & 3
There's a real difference whether you are targeting commercial datacentre or academic science.
Datacentre doesn't care about DP, and is something where you might want to invest, as it has a commercial return. Science legacy codes require DP, but don't have a commercial return. FWIW, I assume you are aware that RISC-V FORTRAN toolchain isn't currently supported.
But that performance is all sitting out in the matrix accelerators, nothing to do with RISCV/ARM/x86, and it purely depends on what mix of operations you configured/optimised on that individual chip.
Plus there's the dirty secret that, independent of RISCV / ARM / x86, most science legacy codes can't use the vector accelerators let alone matrix ones. There was a paper where they tested the top 50 science codes, and discovered that I think only ten of them were written to even use BLAS.
I simply disagree on your point "this is impressive because a frankly non-commercial consortium is doing something to compete with the big boys". It may make people feel good, but it isn't a good use of their skills. If this were my job, I would be doing three things, that academic supercomputing types are uniquely placed and skilled to do:
A) Carefully analyse various science codes, without preconceptions, and identify what the fundamental limits are. Design and make custom accelerator IPs for those codes. The return on this, for the top twenty codes, easily exceeds anythng you could possibly achieve in making datacentre-like supercomputers. Japan does it.
B) Figure out ways to automagically optimise memory access; cache prediction etc. Break the von Neumann bottleneck.
C) Bring software resouce in re-factor decades-old legacy codes from an efficiency perspective. Innovate ways to automatically extract algorithmic requirement & unit-tests from existing code to avoid breaking it. *This is such a hard problem, and the rewards are so great for solving it, both immediately to the academic community and to wider society*.
"First Completely Open Source European Full-Stack Ecosystem Based on New RISC-V CPU".
Other countries aren't doing similar, because we assess that this is a Bad Goal.
My analogy is "First Completely Open Source UK Full-Vehicle Automotive Ecosystem, Based on New Armadillo Electric Motor".
Do you see the problems? We both agree that good electric motors are going to be key in the strategic market of electric vehicles, and it would be economically devastating if geopolitics stopped us from getting them.
#1 Armadillo (if they existed) don't make the best electric motors in the world, and while UK can certainly make good electric motors we don't have any unique expertise.
#2 Other motor manufacturers are already in the market, and theirs are perfectly OK, although better ones are continually being designed.
#3 While cars do have design flaws, there is no particular evidence that open-sourcing car design would fix that. And believe me there are *thousands* of engineers who absolutely would spend their weekend optimising Porsche Taycan aerodynamics for free. Fiat Multipla, not so much. Can you see the relationship to supercomputer chips, by the way?
#4 We all know that the designing a car is 90% not about the engine. Having only a good engine is not going to make you a world leader. It's far better to assemble the car than make all the parts, and in fact that's what the major car companies are - assembly plants.