A Really Low Level Guide To Doing Ethernet On An FPGA

With so much of our day-to-day networking done wirelessly these days, it can be easy to forget about Ethernet. But it’s a useful standard and can be a great way to add a reliable high-throughput network link to your projects. To that end, [Robert Feranec] and [Stacy Rieck] whipped up a tutorial on how to work with Ethernet on FPGAs. 

As [Robert] explains, “many people would like to transfer data from FPGA boards to somewhere else.” That basically sums up why you might be interested in doing this. The duo spend over an hour stepping through doing Ethernet at a very low level, without using pre-existing IP blocks to make it easier. The video explains the basic architecture right down to the physical pins on the device and what they do, all the way up to the logic blocks inside the device that do all the protocol work.

If you just want to get data off an embedded project, you can always pull in some existing libraries to do the job. But if you want to really understand Ethernet, this is a great place to start. There’s no better way to learn than doing it yourself. Files are on GitHub for the curious. Continue reading “A Really Low Level Guide To Doing Ethernet On An FPGA”

Comparing X86 And 68000 In An FPGA

[Michael Kohn] started programming on the Motorola 68000 architecture and then, for work reasons, moved over to the Intel x86 and was not exactly pleased by the latter chip’s perceived shortcomings. In the ’80s, the 68000 was a very popular chip, powering everything from personal computers to arcade machines, and looking at its architecture and ease of programming, you can see why this was.

Fast-forward a few years, and [Michael] decided to implement both cores in an FPGA to compare real applications, you know, for science. As an extra bonus, he also compares the performance of a minimal RISC-V implementation on the same hardware, taken from an earlier RISC-V project (which you should also check out !)

Utilizing their ‘Java Grinder’ application (also pretty awesome, especially the retro console support), a simple Mandelbrot fractal generator was used as a non-trivial workload to produce binaries for each architecture, and the result was timed. Unsurprisingly, for CISC architectures, the 68000 and x86 code sizes were practically identical and significantly smaller than the equivalent RISC-V. Still, looking at the execution times, the 68000 beat the x86 hands down, with the newer RISC-V speeding along to take pole position. [Michael] admits that these implementations are minimal, with no pipelining, so they could be sped up a little.

Also, it’s not a totally fair race. As you’ll note from the RISC-V implementation, there was a custom RISC-V instruction implemented to perform the Mandelbrot generator’s iterator. This computes the complex operation Z = Z2 + C, which, as fellow fractal nerds will know, is where a Mandelbrot generator spends nearly all the compute time. We suspect that’s the real reason RISC-V came out on top.

If actual hardware is more your cup of tea, you could build a minimal 68k system pretty easily, provided you can find the chips. The current ubiquitous x86 architecture, as odd as it started out, is here to stay for the foreseeable future, so you’d just better get comfortable with it!

Continue reading “Comparing X86 And 68000 In An FPGA”

Use That One Port For High-Speed FPGA Data Export

There’s a good few options for exporting data out of FPGAs, like Ethernet, USB2, or USB3. Many FPGAs have a HDMI (or rather, sparkling DVI) port as well, and [Steve Markgraf] brings us the hsdaoh project — High-Speed Data Acquisition Over HDMI, using USB3 capture cards based on the Macrosilicon MS2130 chipset to get the data from the FPGA right to your PC.

Current FPGA-side implementation is designed for Sipeed Tang chips and the GOWIN toolchain, but it should be portable to an open-source toolchain in the future. Make sure you’re using a USB3 capture card with a MS2130 chipset, load the test code into your FPGA, run the userspace capture side, and you’re ready to add this interface to your FPGA project! It’s well worth it, too – during testing, [Steve] has got data transfer speeds up to 180 MB/s, without the USB3 complexity.

As a test, [Steve] shows us an RX-only SDR project using this interface, with respectable amounts of bandwidth. The presentation goes a fair bit into the low-level details of the protocol, from HDMI fundamentals, to manipulating the MS2130 registers in a way that disables all video conversion; do watch the recording, or at least skim the slides! Oh, and if you don’t own a capture card yet, you really should, as it makes for a wonderful Raspberry Pi hacking companion in times of need.

The 6809 Lives On In An FPGA

At one point, the Motorola 6809 seemed like a great CPU. At the time it was a modern 8-bit CPU and was capable of hosting position-independent code and re-entrant code. Sure, it was pricey back in 1981 (about four times the price of a Z80), but it did boast many features. However, the price probably prevented it from being in more computers. There were a handful, including the Radio Shack Color Computer, but for the most part, the cheaper Z80 and the even cheaper 6502 ruled the roost. Thanks to the [turbo9team], however, you can now host one of these CPUs — maybe even a better version — in an FPGA using Verilog.

The CPU may be old-fashioned on the outside, but inside, it is a pipeline architecture with a standard Wishbone bus to incorporate other cores to add peripherals. The GitHub page explains that while the 6809 is technically CISC, it’s so simple that it’s possible to translate to a RISC-like architecture internally. There are also a few enhanced instructions not present on the 6809.

In addition to the source code, you’ll find a thesis and some presentations about the CPU in the repository. While the 6809 might not be the most modern choice, it has the advantage of having plenty of development tools available and is easy enough to learn. Code for the 6800 should run on it, too.

Even using through-hole parts, you can make a 6809 computer fit in a tiny space.You can also break out a breadboard.

Peering Inside The Tang FPGA

[Grug] has been working with the Tang Nano 9K FPGA board. He wanted to use the Gowin Analysis Oscilloscope (GAO) to build an internal monitor into the device for probing internal points. The problem is that the documentation is a bit lacking, so he made a video showing how to make it work to help us all out.

The idea for this isn’t unique, although for some vendors, getting this capability requires you to buy a license or the free versions are limited. We were disappointed, as was [Greg], that he had to run Windows to get the software to work.

Continue reading “Peering Inside The Tang FPGA”

Manta project logo - a manta ray, with cursive 'manta' written next to it

Manta: An Open On-FPGA Debug Interface

We always can use more tools for FPGA debugging, and the Manta project by [Fischer Moseley] delivers without a shadow of a doubt. Manta lets you add a debug and data transfer channel between your computer and your FPGA, that you can easily access with helpfully included Python libraries.

With just a short configuration file as input, it gives you cores you add into your FPGA design, tapping the signals of interest as an FPGA-embedded logic analyzer, interacting with registers, and even letting you quickly transfer tons of data if you so desire.

Manta is easy to install, is developer-friendly, has been designed in Amaranth, and is fully open source as you would expect. At the moment, Manta supports both UART and Ethernet interfaces for data transfer. As for embedding the Manta cores into your project, they can be exported to both Amaranth and Verilog. You should check out the documentation website — it contains everything you might want to know to get started quick.

The Manta project has started out as our hacker’s MIT thesis, and we’re happy that we can cover it for you all. FPGA-embedded logic analyzers are a fascinating and much-needed tool, and we’ve had our own [Al Williams] tell you about his on-FPGA logic analysis journey!

Linear Feedback Shift Registers For FPGAs

If you want to start an argument at a Hackaday meeting, you have only to ask something like “How much does this weigh?” or “What time is it?” But if you really want to start a street brawl, you can always say, “Are these numbers random?” Making random numbers that are actually random is actually a tough nut to crack. Most of what we do is, technically, pseudo-random (but we’ll say random number and assume you know what we mean). One way to generate seemingly random sequences is to use a linear feedback shift register or LFSR. You can use LFSRs in software, but they are also very useful in hardware design and [Adam Taylor] takes us through his use of them on FPGAs in a recent post. Continue reading “Linear Feedback Shift Registers For FPGAs”