Reading through their whitepaper is answering a lot questions I've been accumulating in the back of me mind on just what a mining chip Wizard is doing behind its curtain. Well, under its hood actually... Ever since Sidehack mention at least passing interest in mebe learning chip design my Muse's cat, Curiosity, has been bugging me about it...
EDIT: Thoughts on
https://arxiv.org/ftp/arxiv/papers/1604/1604.00575.pdf from ASICboost on their idea? So far looks like they say they have a different and more efficient use of gates achieved by using a different logic structure/flow than other folks.
Only 1 person I can think of can give me insight as to a 'yesss......' or , 'meh' and and they are not into BTC per se but
are Wizard of chip-level data flow the likes I've rarely seen.
Gotta say ever since making a chip was brought up my natural curiosity into everything got me to thinking about what goes on inside a mining ASIC and methinks that paper is answering a some of that.
Firstly: ASICboost isn't any company. It is Timo Hanke, a German scientist who was the only technical employee of Cointerra that was willing to show his face in their marketing video (aside from the CEO). My quick take on the guy: he was forced to work/shill for Cointerra due to some immigration paperwork screwup/problem. His permanent residency and employment seems to be in Germany. The ASICboost publication seems like a quick way to salvage his academic career in Germany. It is also very dirty work, the PDF still has embedded links to
http://www.lucidchart.com/ website to allow editing the figures.
Other than this the paper is too short on information to make an informed decision. First of all: it has nothing to do with ASICs, it is pure marketing. This is some sort of high-level transformation that could be reproduced in CPU/GPU/FPGA miner. But those are no longer commercially competitive, therefore the reference to the ASICs.
There's only one table (Fig.6) showing percentage gains up to 23.4%. But those seem to be purely combinatorial figures, there's no estimation of saved power or lowered gate counts.
One of my professors at school had an advice for young scientists: If the numbers are good: multiply them by 2 and publish widely. If the numbers are bad: divide them by 10 and hide in the bottommost drawer.
arXiv is a pre-print archive, there's no peer review of the papers published there. The peer review could however happen later.