This startup claims its chip can boost any CPU's performance by up to 100x

Daniel Sims

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Big quote: Finnish state-owned startup Flow Computing claims that its new hardware can boost any processor's speed by orders of magnitude through parallel processing. The technology is supposedly scalable across most devices, architectures, and software. The company plans to reveal the specific details behind what it calls the "holy grail" of CPU performance in August.

Flow Computing has secured around $4.3 million in venture capital funding from Nordic businesses to pursue an IP that it claims can multiply CPU performance. The company says its Parallel Processing Units (PPUs) can usher in a revolutionary "CPU 2.0" era.

A subsidiary of the Finnish state-owned VTT research institute, Flow claims that CPUs have become the weakest link in modern architecture, likely referring to the clock speed plateaus of the last couple of decades. PPUs can supposedly help legacy and future processors climb over that hump by helping to synchronize workloads more efficiently.

The startup's website explains that parallel processing can hide latency and thus minimize the amount of wasted clock cycles. With the extra chip backing them up, CPUs can switch between tasks much faster with the same hardware specs as before.

Flow's system works by integrating the PPU onto the processor die, so the technology requires new hardware. If vendors decide to take a chance on it, the first PPU-equipped devices would probably take a few years to appear on the market.

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However, anyone using PPUs wouldn't need to dramatically alter their hardware or software pipelines. The chips support existing architectures like x86, Arm, and RISC-V. Furthermore, software that hasn't been rewritten to account for PPUs can see CPU performance double. Recompiling an operating system or programming system library can increase performance by up to a factor of 100. An in-development AI-based tool might help developers take maximum advantage of PPUs.

By changing the amount of PPU cores, the improvements can be applied to numerous form factors. Flow suggests that a 16-core PPU would be ideal for mobile devices, 64 cores for PCs, and 256 cores for servers.

Although parallel processing can supposedly boost performance for any application, the company points toward emerging sectors like AI and cloud computing as the most likely to benefit. More technical details will be available at the Stanford University Hot Chips 2024 event, running August 25-27.

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So, no physical PPU modified system to at least prove the double current performance claim, let alone the 100x performance on a recompiled OS. I doubt this is anything more than vaporware and a cash grab from stupid rich venture capitalists.

Seeing is believing.
 
Τempted to say "Snake Oil" but the Finns are dependable ppl and not Snake Oil Salesmen like...others are.

So, let's wait and see.

I hope this is not another case of the "Amazing Kreskin" (a famous Snake Oil Salesman from the US who appeared on the Art Bell Show a few times).
 
Surely AMD, Intel, Arm, IBM, Fujitsu or anyone who has made / designed CPU's recently surely would have worked on something similar already if its supposedly so impactful? Smells like Snake oil if its just numbers with no substance
 
"However, anyone using PPUs wouldn't need to dramatically alter their hardware or software pipelines." The fact you will have to alter software is a major roadblock. The whole point of a CPU is to run software that isn't particularly optimized. If you can write to the metal software, a 100x or 10000x improvement isn't special when you run it on GPGPUs or ASICs.
 
Does the article really mean that processing will be 100 times quicker (100x) or does it actually mean double the performance (100%)? Companies like Intel tend to hope for a 10-30% increase in performance. It smells like snake oil to me.
 
Paralel Processing - Same thing a GPU does isn't it? Nothing new here unless they can do it for less then 25w. Otherwise, I may as well have an H250 or I300 to do the work.
 
Only have to wait till August apparently
Same with power color NPU extra AI processing

I would imagine Apple, AMD, Intel etc with more AI tools are finding new solutions for M5, Zen6 etc

If this really was the real deal, then Microsoft, Google, Facebook, Amazon Apple would be all over it.
They already design some custom solutions for their servers I believe , well Google does

Mathematicians, theorists have probably be studying this from before I was born ( not exactly this, but how to turn high level code to 100% efficient machine code )
Give that, everyone once in awhile I believe a better run time library that has existed for decades has improved , eg a sort function

Optimisation software is pretty much ubiquitous in any big project

Imagine Google has ran it's deepmind on these kind of problems a few times
 
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