Nessie, The Educational Robot

At the Lifelong Learning Robotics Laboratory at the Erasmo Da Rotterdam in Italy, robots are (not surprisingly) used to teach all of the fundamentals of robotics. [Alessandro Rossetti] and the students at the lab have been at it for years now, and have finally finished their fifth generation of a robot called Nessie. The big idea is to help teach fundamentals of programming and electronics by building something that actually uses these principles.

The robot is largely 3D printed and uses an FPGA to interact with the physical world through a set of motors and sensors. The robot also uses a Raspberry Pi to hold the robot’s framework. The robot manages the sensors in hardware with readers attached to the CPU AXI bus. The CPU reads their values from memory space, though, so the robot is reported to be quite quick.

The lab is hoping to take their robot to a robotics competition in Bari, Italy. We hope that they perform well there, since we are big fans of any robot that’s designed to teach anyone about robotics and programming. After all, there are robots that help teach STEM in Africa, robots that teach teen girls about robots, and robots that teach everyone.

Icestudio: An Open Source Graphical FPGA Tool

If you’ve ever worked with FPGAs, you’ve dealt with the massive IDEs provided by the vendors. Xilinx’s ISE takes about 6 gigabytes, and Altera’s Quartus clocks in at over 10 gigs. That’s a lot of downloading proprietary software just to make an LED blink.

[Jesús Arroyo]’s Icestudio is a new, graphical tool that lets you generate Verilog code from block diagrams and run it on the Lattice Semi iCEstick development board. A drag and drop interface lets you connect IOs, logic gates, dividers, and other elements. Once your block diagram is ready, a single button press downloads the code to the iCEstick.

Under the hood, Icestudio uses IceStorm, which we’ve discussed on HaD in the past, including this great talk by [Clifford], Icestorm’s lead. For the GUI, Icestudio uses nw.js, which spits out JSON based on the block diagram. This JSON is converted into a Verilog file and a PCF file. The Verilog is used to create the logic on the FPGA, and the PCF is used to define the pin configuration for the device. Clicking on selected modules reveals the generated Verilog if you want to know what’s actually going on.

It’s experimental, but this looks like a neat way to get started on FPGAs without learning a new language or downloading many gigs of toolchains. We’re hoping Icestudio continues to grow into a useful tool for education and FPGA development. A demo follows after the break.

[Thanks to Nils for the tip!]

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Sort Faster With FPGAs

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have emerged, each characterizable by it’s asymptotic order, a measure of how much longer an algorithm takes as the problem size gets bigger. While all sorting algorithms take longer to complete the more elements that must be sorted, some are slower than others.

For a sorter like bubble sort, the time grows quadradically longer for a linear increase in the number of inputs; it’s of order O(N²).With a faster sorter like merge-sort, which is O(N*log(N)), the time required grows far less quickly as the problem size gets bigger. Since sorting is a bit old-hat among many folks here, and since O(N*log(N)) seems to be the generally-accepted baseline for top speed with a single core, I thought I’d pop the question: can we go faster?

In short — yes, we can! In fact, I’ll claim that we can sort in linear time, i.e a running time of O(N). There’s a catch, though: to achieve linear time, we’ll need to build some custom hardware to help us out. In this post, I’ll unfold the problem of sorting in parallel, and then I”ll take us through a linear-time solution that we can synthesize at home on an FPGA.

Need to cut to the chase? Check out the full solution implemented in SystemVerilog on GitHub. I’ve wrapped it inside an SPI communication layer so that we can play with it using an everyday microcontroller.

To understand how it works, join us as we embark on an adventure in designing algorithms for hardware. If you’re used to thinking of programming in a stepwise fashion for a CPU, it’s time to get out your thinking cap!

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BabyBaby: A 1948 Computer On An FPGA

The Manchester Baby seems simple today. A 32-bit machine with 32 words of storage. It wasn’t meant to be a computer, though, but a test bed for the new Williams tube storage device. However, in 1948, it executed stored programs at about 1,100 instructions per second. The success of the machine led to a series of computers at Manchester University and finally to the first commercially available computer, the Ferranti Mark I.

[Dave] is lucky enough to volunteer to demonstrate the Baby replica at Machester’s Museum of Science Industry. He wanted his own Baby, so he used a Xilinx FPGA board to build a replica Baby named BabyBaby. Although it runs at the same speed as the original, it is–mercifully–much smaller than the real machine.

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FPGA To Ethernet Direct

When [iliasam] needed an Ethernet connection, he decided to see how much of the network interface he could put in the FPGA logic. Turns out that for 10 Base-T, he managed to get quite a bit inside the FPGA. His original post is in Russian, but automatic translation makes a passable attempt at converting to English.

This is a classic trade off all FPGA designers face: how much external logic do you use for a particular design. For example, do you add memory to the PCB, or use FPGA resources as memory? Each has its advantages and disadvantages (that’s why it is a trade off). However, if you are trying to keep things cheap, slashing external circuitry is often the way to go.

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32C3: A Free And Open Source Verilog-to-Bitstream Flow For ICE40 FPGAs

[Clifford] presented a fully open-source toolchain for programming FPGAs. If you don’t think that this is an impressive piece of work, you don’t really understand FPGAs.

The toolchain, or “flow” as the FPGA kids like to call it, consists of three parts: Project IceStorm, a low-level tool that can build the bitstreams that flip individual bits inside the FPGA, Arachne-pnr, a place-and-route tool that turns a symbolic netlist into the physical stuff that IceStorm needs, and Yosys which synthesizes Verilog code into the netlists needed by Arachne. [Clifford] developed both IceStorm and Yosys, so he knows what he’s talking about.

What’s most impressive is that FPGAs aren’t the only target for this flow. Because it’s all open source and modifiable, it has also been used for designing custom ASICs, good to know when you’re in need of your own custom silicon. [Clifford]’s main focus in Yosys is on formal verification — making sure that the FPGA will behave as intended in the Verilog code. A fully open-source toolchain makes working on this task possible.

If you’ve been following along with [Al Williams]’s FPGA posts, either this introduction or his more recent intermediate series that are also based on the relatively cheap Lattice iCEStick development kit, this video is a must-watch. It’s a fantastic introduction to the cutting-edge in free FPGA tools.

PSoC VGA On A $10 Development Board

We’ve always found the Cypress PSoC an interesting beast. It’s a CPU with functional blocks that you can configure to build various I/O devices, including incorporating FPGA logic using Verilog. [MiguelVP] has an excellent multi-part project that produces VGA output from a PSoC. So far it just generates a fixed pattern, but a frame buffer is in the works, and there is plenty of detail about how to configure the PSoC for the task.

Although the PSoC has some analog capability, [MiguelVP] uses a cheap R2R DAC and VGA connector to interface to the VGA monitor. You can get the same PSoC board the project uses for about $10. The software, unfortunately, is Windows-only, so be prepared to fire up a virtual machine if you run Linux or Mac. Our own [Bil Herd] did a video introduction to PSoC that you can watch after the break.

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