I’ve worked with a lot of students who want to program computers. In particular, a lot of them want to program games. However, when they find out that after a few weeks of work they won’t be able to create the next version of Skyrim or Halo, they often get disillusioned and move on to other things. When I was a kid, if you could get a text-based Hi-Lo game running, you were a wizard, but clearly the bar is a lot higher than it used to be. Think of the “Karate Kid”–he had to do “wax on, wax off” before he could get to the cool stuff. Same goes for a lot of technical projects, programming or otherwise.
I talk to a lot of people who are interested in CPU design, and I think there’s quite a bit of the same problem here, as well. Today’s commercial CPUs are huge beasts, with sophisticated memory subsystems, instruction interpreters, and superscalar execution. That’s the Skyrim of CPU design. Maybe you should start with something simpler. Sure, you probably want to start learning Verilog or VHDL with even simpler projects. But the gulf between an FPGA PWM generator and a full-blown CPU is pretty daunting.
Continue reading “Crawl, Walk, Run: Planning Your First CPU Design”
[Dave] wanted to learn more about the ARM architecture, so he started with an image of the ARMV1 die. If you’ve had some experience looking at CPU die, you can make some pretty good guesses at what parts of the chip have certain functions. [Dave], however, went further. He reverse engineered the entire ALU–about 2,200 transistors worth.
Continue reading “Reverse Engineering the ARM ALU”
What kind of computer could you build in 1967? Well, if you were reading Wireless World (a UK magazine) and had a good bit of spare cash, you could build [Brian Crank’s] Wireless World Computer. You only needed 400 germanium transistors, 1800 resistors, and an odd number of capacitors, switches, diodes, and neon bulbs. You also needed a good bit of patience, we suspect.
In 1967, the computer cost about 50 pounds to build (perhaps $125 at 1967 exchange rates which would now be about $900 in today’s money). To save parts (and thus money and build complexity), the computer used a trick: it processed data one bit at a time. Many older computers did this, including another UK computer named EDSAC.
Continue reading “400 Transistors and 1800 Resistors Form This 1967 Personal Computer”
I have always laughed at people who keep multitools–those modern Swiss army knives–in their toolbox. To me, the whole premise of a multitool is that they keep me from going to the toolbox. If I’ve got time to go to the garage, I’m going to get the right tool for the job.
Not that I don’t like a good multitool. They are expedient and great to get a job done. That’s kind of the way I feel about axasm — a universal assembler I’ve been hacking together. To call it a cross assembler hack doesn’t do it justice. It is a huge and ugly hack, but it does get the job done. If I needed something serious, I’d go to the tool box and get a real assembler, but sometimes you just want to use what’s in your pocket.
Continue reading “Hacking a Universal Assembler”
You want to build your own CPU? That’s great fun, but you might find it isn’t as hard as you think. I’ve done several CPUs over the years, and there’s no shortage of other custom CPUs out there ranging from pretty serious attempts to computers made out of discrete chips to computers made with relays. Not to trivialize the attempt, but the real problem isn’t the CPU. It is the infrastructure.
What Kind of Infrastructure?
I suppose the holy grail would be to bootstrap your custom CPU into a full-blown Linux system. That’s a big enough job that I haven’t done it. Although you might be more productive than I am, you probably need a certain amount of sleep, and so you may want to consider if you can really get it all done in a reasonable time. Many custom CPUs, for example, don’t run interactive operating systems (or any operating system, for that matter). In extreme cases, custom CPUs don’t have any infrastructure and you program them in straight machine code.
Machine code is error prone so, you really need an assembler. If you are working on a big machine, you might even want a linker. Assembly language coding gets tedious after a while, so maybe you want a C compiler (or some other language). A debugger? What about an operating system?
Each one of those things is a pretty serious project all by itself (on top of the project of making a fairly capable CPU). Unless you have a lot of free time on your hands or a big team, you are going to have to consider how to hack some shortcuts.
Continue reading “Build Your Own CPU? That’s the Easy Part!”
There are basically two ways to compute data. The first is with a DSP, a chip that performs very specialized functions on a limited set of data. These are very cheap, have amazing performance per watt, but can’t do general computation at all. If you’d like to build a general-purpose computer, you’ll have to go with a superscalar processor – an x86, PowerPC, or any one of the other really beefy CPU architectures out there. Superscalars are great for general purpose computing, but their performance per watt dollar is abysmal in comparison to a DSP.
A lot of people have looked into this problem and have come up with nothing. This may change, though, if [Ivan Godard] of Out-of-the-Box computing is able to produce The Mill – a ground-up rethink of current CPU architectures.
Unlike DSPs, superscalar processors you’d find in your desktop have an enormous amount of registers, and most of these are rename registers, or places where the CPU stores a value temporarily. Combine this with the fact that connecting hundreds of these temporary registers to places where they’ll eventually be used eats up about half the power budget in a CPU, and you’ll see why DSPs are so much more efficient than the x86 sitting in your laptop.
[Ivan]’s solution to this problem is replacing the registers in a CPU with something called a ‘belt’ – basically a weird combination of a stack and a shift register. The CPU can take data from any position on the belt, perform an operation, and places the result at the front of the belt. Any data that isn’t used simply falls off the belt; this isn’t a problem, as most data used in a CPU is used only once.
On paper, it’s a vastly more efficient means of general purpose computation. Unfortunately, [Ivan] doesn’t quite have all the patents in for The Mill, so his talks (two available below) are a little compartmentalized. Still, it’s one of the coolest advances in computer architecture in recent memory and something we’d love to see become a real product.
Continue reading “The Mill CPU architecture”