CPU Built From Discrete Transistors

We all know, at least intellectually, that our computers are all built with lots of tiny transistors. But beyond that it’s a little hard to describe. They’re printed on a silicon wafer somehow, and since any sufficiently advanced technology is indistinguishable from magic, they miraculously create a large part of modern society. Even most computers from 40 or 50 years ago were built around various inscrutable integrated circuits. On the other hand, this computer goes all the way back to first principles and implements a complete processor out of individual transistors instead.

The transistor computer uses over 2000 individual transistors to implement everything comprising the 11-bit CPU. The creator, Reddit user [ Weekly_Salamander_78] also has an online interactive book that walks through each of the steps that is required to get to the point of having a working computer like this. Starting with a guide on building logic gates from transistors it will eventually cover the arithmetic logic unit, adders, memory, clocks, and everything else that is needed for the complete CPU to get up and running. The design does rely on an Arduino for memory to simplify some things, and in the end it’s able to run a Hello, World! program and play a simple dinosaur game as well.

Building a computer out of discrete components like this is an impressive accomplishment, although we might not envy the creator of it when it comes time for troubleshooting or maintenance of all of those individual components. Presumably it would be much easier to work on than something like a relay computer, but for now we’ll all take a moment to be thankful that almost no one needs to work on debugging vacuum tube computers anymore.

TMD-3: Clever Hall Sensor Hack Leads To Better Turing Demo

We’ll beat everyone to the punch: yes, actually building a working Turing machine, especially one that uses a Raspberry Pi, is probably something that would have pushed [Alan Turing]’s buttons, and not in a good way. The Turing machine is, above all else, a thought experiment, an abstraction of how a mechanical computing machine could work. Building a working one seems to be missing the point.

Thankfully, [Michael Gardi] has ignored that message three times now, and with good reason: some people just grok abstract concepts better when they can lay their hands on something and manipulate it. His TMD-1 was based on 3D printed tiles with embedded magnets — arranging the tiles on a matrix containing Hall effect sensors programmed the finite state machine, with the “tape” concept represented by a strip of eight servo-controlled flip cards. While TMD-1 worked fine, it had some limitations, which [Mike] quickly remedied with TMD-2, a decidedly more complicated affair that used a Raspberry Pi, a camera, and OpenCV to read an expanded state machine with six symbols and six states, without breaking the budget on all the Hall sensors required.

TMD-3 refines the previous design, eschewing the machine vision approach and returning to the Hall effect roots of the original. But instead of using three sensors per tile, [Mike] determined that one sensor would suffice as long as he could mount the magnet at different depths within each tile. That way, the magnetic field for each symbol could be discerned by a single Hall sensor, greatly reducing complexity and expense. An LCD screen and a Raspberry Pi run a console app that shows the tape status, the state machine, and the state transitions.

[Mike] put a ton of work into this one — there are nineteen project logs — and he includes a lot of useful tips and tricks, like designing PCBs directly in KiCAD before even having a schematic. Of course, with a track record like his, we’d expect nothing less.

Continue reading “TMD-3: Clever Hall Sensor Hack Leads To Better Turing Demo”

Chromebooks Now Get Ten Years Of Software Updates

It’s an acknowledged problem with the mobile phone industry and particularly within the Android ecosystem, that the operating system support on a typical device can persist for far too short a time, leaving the user without critical security updates. With the rise of the Chromebook, this has moved into larger devices, with schools and other institutions left with piles of what’s essentially e-waste.

Now in a rare show of sense from a tech company, Google have announced that Chromebooks are to receive ten years of updates from next year. Even better, it seems that this will be retroactively applied to at least some older machines, allowing owners to opt in to further updates for the remainder of the decade following the machine’s launch.

Of course, a Chrome OS upgrade on an older machine won’t make it any quicker. We’re guessing many users will feel the itch up upgrade their hardware long before their decade of software support is up. But anything which saves e-waste has to be applauded, and since this particular scribe has a five-year-old ASUS Transformer just out of support, we’re hoping for a chance to jump back on that train.

There’s another question though, and it relates to the business model behind Chromebooks. We doubt that the hardware manufacturers are thrilled at their customers’ old machines receiving a new lease of life and we doubt Google are doing this through sheer altruism, so we’re guessing that the financial justification comes from an extra five years of making money from the users’ data.

The motherboard of a Mattel Aquarius, with a small daughterboard mounted on top

Adding Composite Video To The Mattel Aquarius

In the home computer market of the 1980s, there were several winners that are still household names four decades later: the Commodore 64, the Apple II and the Sinclair Spectrum, to name a few. But where there are winners, there are bound to be losers as well – the Mattel Aquarius being a good example. A price war between the bigger players, combined with a rather poor hardware design, meant that the Aquarius was discontinued just a few months after its introduction in 1983. However, this makes it exactly the type of obscure machine that [Leaded Solder] likes to tinker with, so he was happy to finally get his hands on a neat specimen listed on eBay. He wrote an interesting blog post detailing his efforts to connect this old beast to a modern TV.

The main issue with the Aquarius is that it only has an RF video output, which results in a rather poor rendition of its already very limited graphics capabilities. Luckily, there is a fix available in the form of a composite A/V adapter that’s an almost plug-and-play upgrade. The only thing you need to do, as [Leaded Solder] illustrates in his blog post, is open up the computer, desolder the RF modulator and solder the A/V adapter in its place. Getting to that point was a bit tricky due to heavy EMI shields that were fixed in place with lots of solder, requiring liberal use of a desoldering iron. Continue reading “Adding Composite Video To The Mattel Aquarius”

An array of 2D barcodes stored on a ceramic medium. Each 2D barcode is 25 micrometers wide.

Cerabyte: One Terabyte Per Square Centimeter

Most of us will at one point have run out of storage and either had to buy a larger driver or delete some of those precious files. This problem can happen to data centers, too, with the ever-increasing amount of data stored on servers across the world. [Cerabyte] aims to fix this, with their ceramic-based media promising 1 TB/cm² of areal density.

To put into perspective just how much better this density is, we can compare it against SSDs and hard drives. At the time of writing, the densest SSD (NAND flash storage) is claimed to be 0.1825 TB/cm² and the densest hard drive is claimed to be 0.1705 TB/cm², which means 5.48 times and 5.87 times more dense respectively. The density improvement doesn’t end there — both an SSD and a single HDD platter might be a couple millimeters tall, while a [Cerabyte] layer claims to be merely 50 atoms tall.

[Cerabyte] aims to create 10 PB (10,000 TB) and later 1 EB (1,000,000 TB) racks with their technology, a feat difficult to achieve with mere hard drives. The ceramic-based media is written to using lasers and read from with a microscope, though throughput is limited to a “mere” 1 GB/s, which means filling that one rack could take as long as 110 days. Despite the relatively slow access times, we think this new storage technology is impressive, assuming [Cerabyte] succeeds.

Do you need so much storage that even [Cerabyte] can’t satisfy your needs? Simply use YouTube as infinite storage!

Intel’s Chips Light The Way To Faster Processor Arrays

It’s very likely indeed that whatever you are reading this on will have a multi-core processor. They’re now the norm, but the path to they octa-or-more-core chip in your phone has gone from individual processors with PCB interconnects through many generations of ever faster on-chip ones.

But what if your power needs are so high-end that you need more cores that can be fitted on one chip, but without the slow PCB interconnect to another? If you’re Intel, you develop a multi-core processor with an on-chip photonic interconnect. It talks to the neighboring ones in its cluster at full speed, via light.

The chip in question isn’t one you’ll see in a machine near you, instead it’s inspired by the extremely demanding requirements for DARPA’s HIVE graph analytics program. So this is a machine for supercomputers in huge data centers rather than desktop computers, it will be assembled into multi-die packages with that chip-to-chip optical networking built in. But your computer today is the equal of a supercomputer from not that many years ago, so never say you won’t one day be using its descendant technologies.

Jenny’s Daily Drivers: Raspberry Pi Desktop

One of the more exciting prospects upon receiving one of the earliest Raspberry Pi boards back in 2012 was that it was a fully-functional desktop computer in the palm of your hand. In those far-off days, the Debian OS distro for the board wasn’t even yet called Raspbian, but it would run a full-on desktop on your TV and you could use it after a fashion to browse the web or do wordprocessing. It wasn’t in any way fast, but it was usable enough to be more than a novelty. I’ve said before on these pages that the Raspberry Pi folks’ key product is their OS rather than their computers. While they rarely have the fastest or highest spec hardware, you can depend on Raspberry Pi OS being updated and supported through the life of the board unlike many of their competitors. I can download their latest OS image and still run it on that 2012 board, which to me ranks as a very laudable achievement.

The OS They Don’t Really Tell You About

Screenshot of the first i386 Pi desktop
The background image may have changed since the first release back in 2016, but the UI hasn’t.

Raspberry Pi OS doesn’t run on any other ARM single board computers but their own, but it’s not quite accurate to say that it only runs on Raspberry Pi hardware. Since 2016 when it was launched as PIXEL, the folks in Cambridge have also maintained a PC version for 32-bit i386 computers, now called Raspberry Pi Desktop. It may be the Pi product they don’t talk about much, but  you can still find it on their downloads page.

Like the ARM version, it’s based on Debian and presents as close as possible to the environment you’d find on your Pi. I’m interested to see whether it still lives up to the claim of being usable on older hardware, so I’ve downloaded a copy and installed it on my trusty 2007 Dell Inspiron 640. It rocks a 1.6 GHz Core Duo with 4 GB of memory and a SATA SSD so it’s not the lowest spec hardware on the block, but by 2023’s standard it represents a giveaway-spec old laptop. Can I use it as a daily driver? Let’s find out! Continue reading “Jenny’s Daily Drivers: Raspberry Pi Desktop”