A Breadboard Computer In Three Chips

Building a computer on a breadboard is a seminal project for many builders, but it can become complicated quite quickly, not to mention that all the parts needed for a computer are being placed on a medium which often lends itself to loose wires and other hardware bugs. [3DSage] has a working breadboard computer that is as simple as it can possibly be, putting it together piece by piece to show exactly what’s needed to get a computer which can count, access memory, and even perform basic mathematical operations.

The first step for any computer is to build a clock, and in this case it’s being provided by a 555 timer which is configured to provide an adjustable time standard and which steps through the clock pulses when a button is pressed. The next piece is a four-bit counter and a memory chip, which lets the computer read and write data. A set of DIP switches allows a user to write data to memory, and by using the last three bits of the data as opcodes, the computer can reset, halt, and jump to various points in a simple program.

Although these three chips make it possible to perform basic programming, [3DSage] takes this a bit further in his video by demonstrating some other simple programs, such as one which can play music or behave as an alarm clock. He also shows how to use a fourth chip in the form of a binary adder to perform some basic math, and then packages it all into a retro-styled computer kit. Of course you can take these principles and build them out as far as they will go, like this full 8-bit computer built on a breadboard or even this breadboard computer that hosts a 486.

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Analog Optical Computer For Inference And Combinatorial Optimization

Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more efficient approach for specific applications. The authors behind a recent paper in Nature are arguing that inference – essential for LLMs – can be done significantly more efficiently using an analog optical computer (AOC).

As the authors describe it, the function of this AOC is to perform a fixed-point search using only optical and analog electronic components. The optics handle the matrix-vector multiplications, while the analog components handle the non-linear operations, subtractions and annealing. This is performed in 20 ns cycles until noise has been reduced to an acceptable level, considering the analog nature of the computer. A big advantage here is that no analog-digital conversions are required as with other (digital) hybrid systems.

So far a small-scale AOC has been constructed for tasks like image classification and non-linear regression tasks, with the authors claiming the AOC being over a hundred times more efficient than current GPU-derived vector processors.

Scott holding the demo board which has a 7-segment display and keyboard attached

4-bit Single Board Computer Based On The Intel 4004 Microprocessor

[Scott Baker] is at it again and this time he has built a 4-bit single board computer based on the Intel 4004 microprocessor.

In the board design [Scott] covers the CPU (both the Intel 4004 and 4040 are supported), and its support chips: the 4201A clock-generator, its crystal, and the 4289 Standard Memory Interface. The 4289 irons out the 4-bit interface for use with 8-bit ROMs. Included is a ATF22V10 PLD for miscellaneous logic, a 74HCT138 for chip-select, and a bunch of inverters for TTL compatibility (the 4004 itself uses 15 V logic with +5 V Vss and -10 V Vdd).

[Scott] goes on to discuss the power supply, ROM and page mapper, the serial interface, the RC2014 bus interface, RAM, and the multimodule interface. Then comes the implementation, a very tidy custom PCB populated with a bunch of integrated circuits, some passive components, a handful of LEDs, and a few I/O ports. [Scott] credits Jim Loo’s Intel 4004 SBC project as the genesis of his own build.

If you’re interested in seeing this board put to work check out the video embedded below. If you’d like to know more about the 4004 be sure to check out Supersize Your Intel 4004 By Over 10 Times, The 4004 Upgrade You’ve Been Waiting For, and Calculating Pi On The 4004 CPU, Intel’s First Microprocessor.

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A photo of two magnetic bubble memories installed in a circuit board

Scott Baker’s Magnetic Bubble Memory Mega-Post

Over on his blog our hacker [Scott Baker] has a Magnetic Bubble Memory Mega-Post.

If you haven’t heard of magnetic bubble memory before it’s basically obsolete nonvolatile memory. Since the 1970s when it was introduced this type of memory has been outperformed in every dimension including durability, reliability, price, density, performance, and so on. For any given application of bubble memory you will be able to find an alternative technology which is better in many ways. Except if you want some old tech to geek out over, in that case magnetic bubble memory is for you!

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CPU Utilization Not As Easy As It Sounds

If you ever develop an embedded system in a corporate environment, someone will probably tell you that you can only use 80% of the CPU or some other made-up number. The theory is that you will need some overhead for expansion. While that might have been a reasonable thing to do when CPUs and operating systems were very simple, those days are long gone. [Brendan Long] explains at least one problem with the idea in some recent tests he did related to server utilization.

[Brendan] recognizes that a modern CPU doesn’t actually scale like you would think. When lightly loaded, a modern CPU might run faster because it can keep other CPUs in the package slower and cooler. Increase the load, and more CPUs may get involved, but they will probably run slower. Beyond that, a newfangled processor often has fewer full CPUs than you expect. The test machine was a 24-core AMD processor. However, there are really 12 complete CPUs that can fast switch between two contexts. You have 24 threads that you can use, but only 12 at a time. So that skews the results, too.

Of course, our favorite problem is even more subtle. A modern OS will use whatever resources would otherwise go to waste. Even at 100% load, your program may work, but very slowly. So assume the boss wants you to do something every five seconds. You run the program. Suppose it is using 80% of the CPU and 90% of the memory. The program can execute its task every 4.6 seconds. So what? It may be that the OS is giving you that much because it would otherwise be idle. If you had 50% of the CPU and 70% of the memory, you might still be able to work in 4.7 seconds.

A better method is to have a low-priority task consume the resources you are not allowed to use, run the program, and verify that it still meets the required time. That solves a lot of [Brendan’s] observations, too. What you can’t do is scale the measurement linearly for all these reasons and probably others.

Not every project needs to worry about performance. But if you do, measuring and predicting it isn’t as straightforward as you might think. If you are interested in displaying your current stats, may we suggest analog? You have choices.

Scott and his Prompt 80

Restoring A Vintage Intel Prompt 80 8080 Microcomputer Trainer

Over on his blog our hacker [Scott Baker] restores a Prompt 80, which was a development system for the 8-bit Intel 8080 CPU.

[Scott] acquired this broken trainer on eBay and then set about restoring it. The trainer provides I/O for programming, probing, and debugging an attached CPU. The first problem discovered when opening the case is that the CPU board is missing. The original board was an 80/10 but [Scott] ended up installing a newer 80/10A board he scored for fifty bucks. Later he upgraded to an 80/10B which increased the RAM and added a multimodule slot.

[Scott] has some luck fixing the failed power supply by recapping some of the smaller electrolytic capacitors which were showing high ESR. Once he had the board installed and the power supply functional he was able to input his first assembly program: a Cylon LED program! Making artistic use of the LEDs attached to the parallel port. You can see the results in the video embedded below.

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Remembering The Intel Compute Stick

Over the years Intel has introduced a number of new computer form factors that either became a hit, fizzled out, or moved on to live a more quiet life. The New Unit of Computing (NUC) decidedly became a hit with so-called Mini PCs now everywhere, while the Intel Compute Stick has been largely forgotten. In a recent video by the [Action Retro] one such Compute Stick is poked at, specifically the last model released by Intel in the form of the 2016-era STK1AW32SC, featuring a quad-core Intel Atom x5-Z8330 SoC, 2 GB of RAM and 32 GB eMMC storage.

As the name suggests, this form factor is very stick-like, with a design that makes it easy to just plug it into the HDMI port of a display, making it a snap to add a computer to any TV or such without taking up a considerable amount of space. Although Intel didn’t make more of them after this model, it could be argued that devices like the Chromecast dongle follow the same general concept, and manufacturers like MeLe are still making new PCs in this form factor today.

In the video this 2016-era Compute Stick is put through its paces, wiping the Windows 10 installation that was still on it from the last time it was used, and an installation of Haiku was attempted which unfortunately failed to see the eMMC storage. Worse was the current Ubuntu, which saw its installer simply freeze up, but MX Linux saved the day, providing a very usable Linux desktop experience including the watching of YouTube content and network streaming of Steam games.

Although dissed as ‘e-waste’ by many today, if anything this video shows that these little sticks are still very capable computers in 2025.

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