Raspberry Pi Pico 2 at 873.5MHz with 3.05V Core Abuse
learn.pimoroni.com
learn.pimoroni.com
It wouldn't be surprising if the RP2350 gets officially certified to run at something above the max supported clock at launch (150MHz), though obviously nothing close to 800MHz. That happened to the RP2040[1], which at launch nominally supported 133MHz but now it's up to 200MHz (the SDK still defaults to 125MHz for compatibility, but getting 200MHz is as simple as toggling a config flag[2]).
[1] https://www.tomshardware.com/raspberry-pi/the-raspberry-pi-p...
[2] https://github.com/raspberrypi/pico-sdk/releases/tag/2.1.1
Here is an idea for a CPU designer...
Observe that you can get way more performance (increased clock speed) or more performance per watt (lower core voltage) if you are happy to lose reliability.
Also observe that many CPU's do superscalar out of order execution, which requires having the ability to backtrack, and this is normally implemented with a queue and a 'commit' phase.
Finally, observe that verifying this commit queue is a fully parallel operation, and therefore can be checked slower and in a more power efficient way.
So, here's the idea. You run a blazing fast superscalar CPU, well past the safe clock speed limits that makes hundreds of computation or flow control mistakes per second. You have slow but parallel verification circuitry to verify the execution trace. Whenever a mistake is made, you put a pipeline bubble in the main CPU, clear the commit queue, you put in the correct result from the verification system, and continue - just like you would with a branch misprediction.
This happening a few hundred times per second will have a negligible impact on performance. (consider 100 cycles 'reset' penalty, 100*100 is a tiny fraction of 4Ghz)
The main fast CPU could also make deliberate mistakes - for example assuming floats aren't NaN, assuming division won't be by zero, etc. Trimming off rarely used logic makes the core smaller, making it easier to make it even faster or more power efficient (since wire length determines power consumption per bit).
The only problem here is that reliability is a statistical thing. You might be lucky, you might not.
If so, then:
That seems like it would slow the ultimate computation to no more than rate rate at which they can be these computations can be verified.
That makes the verifier the ultimate bottleneck, and the other (fast, expensive -- like an NHRA drag car) pipeline becomes vestigial since it can't be trusted anyway.
So we have 20 verifiers running at 500MHz, and this stack of verifiers is trustworthy. It does reliably-good work.
We also have a single 10GHz CPU core, and this CPU core is not trustworthy. It does spotty work (hence the verifiers).
And both of these things (the stack of verifiers, the single CPU core) peak out at exactly the same computational speeds. (Because otherwise, the CPU's output can't be verified.)
Sounds great! Except I can get even better performance from this system by just skipping the 10GHz CPU core, and doing all the work on the verifiers instead.
("Even better"? Yep. Unlike that glitch-ass CPU core, the verifiers' output is trustworthy. And the verifiers accomplish this reliable work without that extra step of occasionally wasting clock cycles to get things wrong.
If we know what the right answer is, then we already know the right answer. We don't need to have Mr. Spaz compute it in parallel -- or at all.)
Small, hence fast, model predicts next tokens serially. Then a batch of tokens are validated by the main model in parallel. If there is a missmatch you reject the speculated token at that position and all subsequent speculated tokens, take the correct token from the main model and restart speculation from that.
If the predictions are good and the batch parallelism efficiency is high, you can get a significant boost.
It does the generation as normal using the draft model, thus sampling from the draft model's distribution for a given prefix to get the next (speculated) token. But it then uses the draft model's distribution and the main model's distribution for the given prefix to probabilistically accept or reject the speculated token, in a way which guarantees the distribution used to sample each token is identical to that of the main model.
The paper has the details[1] in section 2.3.
The inspiration for the method was indeed speculative execution as found in CPUs.
[1]: https://arxiv.org/abs/2211.17192 Fast Inference from Transformers via Speculative Decoding
You should build one in some logic simulator as its super interesting architecture.
I hate hobbysts 'cpus' being inside of FPGA. We should build real hardware instead.
Around 20 bucks for the Wifi variant. 1GHz, 256MB RAM, USB OTG, GPIO and full Linux support while drawing less than 1W without any power optimizations and even supports < 15$ 2.8" LCDs out of the box.
And Rust can be compiled to be used with it...
https://github.com/scpcom/LicheeSG-Nano-Build/
Take a look at the `best-practise.md`.
It is also the base board of NanoKVM[1]
I'm currently prototyping a tiny portable audio player[1] which battery life could benefit a lot from this.
no such thing, 5V tolerant buffers will run you more than that
That said: it's a bit sad there's so little (if anything) in the space between microcontrollers & feature-packed Linux capable SoC's.
I mean: these days a multi-core, 64 bit CPU & a few GB's of RAM seems to be the absolute minimum for smartphones, tablets etc, let alone desktop style work. But remember ~y2k masses of people were using single core, sub-1GHz CPU's with a few hundred MB RAM or less. And running full-featured GUI's, Quake1/2/3 & co, web surfing etc etc on that. GUI's have been done on sub-1MB RAM machines once.
Microcontrollers otoh seem to top out on ~512KB RAM. I for one would love a part with integrated: # Multi-core, but 32 bit CPU. 8+ cores cost 'nothing' in this context. # Say, 8 MB+ RAM (up to a couple hundred MB) # Simple 2D graphics, maybe a blitter, some sound hw etc # A few options for display output. Like, DisplayPort & VGA.
Read: relative low-complexity, but with the speed & power efficient integration of modern IC's. The RP2350pc goes in this direction, but just isn't (quite) there.
Many dev boards provide 8 MB PSRAM.
The PIO units on the RP2040 are... overrated. Very hard to configure, badly documented and there's only 8 total. WS2812 control from the Pico is unreliable at best in my experience.
> And it's like half the price on top of all that. It's not even close.
A reel of 3,400 RP2350 units costs $0.80 each, while a single unit is $1.10. The RP2040 is $0.70 each in a similar size reel. Are you sure about your figures, or are you perhaps comparing development boards rather than SoCs? If you’re certain, could I have a reference for ESP32s being sold at $0.35 each (or single quantities at $0.55)?
PIO units may be tricky to configure, but they're incredibly versatile. If you aren't comfortable writing PIO code yourself, you can always rely on third-party libraries. Driving HDMI? Check. Supporting an obscure, 40-year-old protocol that nothing else handles? Check. The possibilities are endless.
I find it hard to believe the RP2040 would have any issues driving WS2812s, provided everything is correctly designed and configured. Do you have any references for that?
I really wish we would stop sticking wireless in every device. The spectrum is limited and the security concerns are just not worth it. And if you try to sell it, certifying will be RPITA even in US (rightfully so!). Just had to redesign a little Modbus RTU sensor prototype for mass production, noticed the old version used BT MCU. So I immediately imagined the certification nightmare - and the sensor is deployed underwater, it's not like BT will be useful anyway. Why? Quote "but how do we update firmware without a wireless connection"… How do you update firmware on a device with RS-485 out, a puzzle indeed. In all fairness, the person who did it was by no means a professional programmer and wasn't supposed to know. But conditioning beginners to wireless on everything - that's just evil. /rant
Credit where it's due: Mike is a wizard. He's been involved in some of our more adventurous tinkering, and his input on the more complex areas of our product software has been invaluable. Check out his GitHub for some really interesting projects: https://github.com/MichaelBell
Blatant plug: We have a wide range of boards based on the RP2350 for all sorts of projects! https://shop.pimoroni.com/collections/pico :-)
I recently turned turbo off on a small, lightly loaded Intel server. This reduced power by about a factor of 2, core temperature by 30-40C, and allowed running the fans much quieter. I’m baffled as to why the CPU didn’t do this on its own. (Apple gets these details right. Intel, not so much.)
This is a boring NVR workload with a bit of GPU usage, with total system utilization around 10% with turbo off. Apparently the default behavior is to turbo from the normal ~3GHz up to 5.4GHz, and I don’t know why the results were quite so poor.
This is an i9-13900H (Minisforum MS-01) machine, so maybe it has some weird tuning for gaming workloads? Still seems a bit pathetic. I have not tried monitoring the voltages with turbo on and off to understand exactly why it’s performing quite so inefficiently.
I bet if you designed a custom board it could do a little better
Eventually it will be seen as a feature.
They're unstable enough at stock if taken outside an air conditioned room.