An FPGA Video Player Built Just For Fun

Sometimes, projects are borne out of neccessity; a fix for a problem that needs to be solved. Other times, they’re done just for the love of creation and experimentation. [ultraembedded]’s FPGAmp media player falls under the latter, and served as a great learning experience along the way.

The aim of FPGAmp is to play back a variety of media files on the Arty A7 development board, based around the Xilinx Artix-7 FPGA. Capable of playing back MJPEG video at 800 x 600 resolution and 25 fps, it’s also able to play back MP3s as well for stereo audio. Demonstrating the device on Twitter, [ultraembedded] notes that the method of using an LED to do SPDIF optical audio output isn’t legit, but does work. A later update switches to using a dedicated audio output board with the Arty A7 platform, featuring an excellent song from The Cardigans.

Using a RISC V processor core and a hardware JPEG decoder, we imagine [ultraembedded] really sharpened their FPGA skills with this project. Particularly in the wake of the sale of ARM to NVIDIA, RISC V continues to gain relevance in the hardware community. We were lucky enough to feature a keynote at last year’s Supercon, with Megan Wachs speaking on the technology. Video after the break.

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What’s Inside An FPGA? Ken Shirriff Has (Again) The Answer

FPGAs are somewhat the IPv6 of integrated circuits — they’ve been around longer than you might think, they let you do awesome things that people are intrigued by initially, but they’ve never really broke out of their niches until rather recently. There’s still a bit of a myth and mystery surrounding them, and as with any technology that has grown vastly in complexity over the years, it’s sometimes best to go back to its very beginning in order to understand it. Well, who’d be better at taking an extra close look at a chip than [Ken Shirriff], so in his latest endeavor, he reverse engineered the very first FPGA known to the world: the Xilinx XC2064.

If you ever wished for a breadboard-friendly FPGA, the XC2064 can scratch that itch, although with its modest 64 configurable logic blocks, there isn’t all that much else it can do — certainly not compared to even the smallest and cheapest of its modern successors. And that’s the beauty of this chip as a reverse engineering target, there’s nothing else than the core essence of an FPGA. After introducing the general concepts of FPGAs, [Ken] (who isn’t known to be too shy to decap a chip in order to look inside) continued in known manner with die pictures in order to map the internal components’ schematics to the actual silicon and to make sense of it all. His ultimate goal: to fully understand and dissect the XC2064’s bitstream.

Of course, reverse engineering FPGA bitstreams isn’t new, and with little doubt, building a toolchain based on its results helped to put Lattice on the map in the maker community (which they didn’t seem to value at first, but still soon enough). We probably won’t see the same happening for Xilinx, but who knows what [Ken]’s up to next, and what others will make of this.

I’m Sorry Dave, You Shouldn’t Write Verilog

We were always envious of Star Trek, for its computers. No programming needed. Just tell the computer what you want and it does it. Of course, HAL-9000 had the same interface and that didn’t work out so well. Some researchers at NYU have taken a natural language machine learning system — GPT-2 — and taught it to generate Verilog code for use in FPGA systems. Ironically, they called it DAVE (Deriving Automatically Verilog from English). Sounds great, but we have to wonder if it is more than a parlor trick. You can try it yourself if you like.

For example, DAVE can take input like “Given inputs a and b, take the nor of these and return the result in c.” Fine. A more complex example from the paper isn’t quite so easy to puzzle out:

Write a 6-bit register ‘ar’ with input
defined as ‘gv’ modulo ‘lj’, enable ‘q’, synchronous
reset ‘r’ defined as ‘yxo’ greater than or equal to ‘m’,
and clock ‘p’. A vault door has three active-low secret
switch pressed sensors ‘et’, ‘lz’, ‘l’. Write combinatorial
logic for a active-high lock ‘s’ which opens when all of
the switches are pressed. Write a 6-bit register ‘w’ with
input ‘se’ and ‘md’, enable ‘mmx’, synchronous reset
‘nc’ defined as ‘tfs’ greater than ‘w’, and clock ‘xx’.

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Write In PipelineC For FPGAs

The best thing about field-programmable gate arrays (FPGAs), when you have a massively parallel application, is that everything runs in parallel. The worst thing about FPGAs, when you need a lot of stuff to happen in sequence, is that everything runs in parallel. If you have a multi-step computation, for example, you need to break it up into chunks, figure out the timing between them, and make sure that each chunk clears before it is fed new data. This is pipelining, and taking care of all the low-level details yourself is one of the things that can sometimes make FPGA a four-letter word beginning with “F”.

[Julian Kemmerer]’s PipelineC is a C-like language that compiles down into VHDL so that you can use it in an FPGA, and it does the pipelining for you. He has examples of how you’d use it to construct a simple state machine, and after you’ve written a few hundred state machines the long way, you’ll know why this is a good idea.

PipelineC isn’t the only high level synthesis language out there, but it sits in an interesting place. It doesn’t take care of memory or define interfaces. It just takes care of pipelining. We haven’t tried it out yet, but it looks like it would be interesting for moderately complex projects, where the mechanics of pipeline signalling is a hassle, but you don’t require the deluxe treatment. Check it out, and if you like it, let us (and [Julian], natch) know.

If you want to dive head-first into pipelining, give [Al Williams]’ two-part mini-series a look.

Pipeline graphic CC BY-SA 3.0 by CBurnett

Glasgow Uses An FPGA As An Embedded Systems Multitool

Everyone who builds embedded systems wants tools to help build and debug systems faster, so it isn’t uncommon to see boards outfitted with various tools like serial port sniffers. We’ve seen a few incarnations and the latest is Glasgow. The small board uses an FPGA and claims to do the following:

  • UART with automatic baud rate determination
  • SPI or I2C
  • Read and write common EEPROMs and flash chips
  • Read and write common EPROMs including a data rescue function
  • Program AVR chips via SPI
  • Play back JTAG SVF files
  • Debug ARC and some MIPS CPUs
  • Program XC9500LX CPLDs
  • Communicate to several wireless radios and CPUs
  • Do sound synthesis
  • Read raw data from floppy drives

The revC board is the first to be relatively functional and sports 16 I/O pins operating at up to 100 MHz, although the documentation hints that 6 MHz might be the top of what’s easily accomplished. The software is written in Python and the iCE40 FPGA toolchain that we’ve talked about many times in the past.

This already looks like a useful tool and the reconfigurable nature of FPGAs makes it a good platform to expand. The documentation discusses the difficulty in debugging things for the board, so the base software offers support such as a built-in logic analyzer to help.

We have seen dev boards become bench tools, like using the iCEstick as a logic analyzer. It’s nice to see dedicated tools like this one built up around the speed and versatility of FPGAs.

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SoftCore CPU Comparison

Monty Python once did a sketch where people tried to summarize Proust in fifteen seconds. Although summarizing eight FPGA-based CPUs is almost as daunting, [jaeblog] does a nice job of giving a quick sketch of how the CPUs work with the Xilinx Vivado toolchain and the Digilent Arty board.

The eight CPUs are:   VexRiscv, LEON3, PicoRV32, Neo430, ZPU, Microwatt, S1 Core, and Swerv EH1.

The comparison criteria were very practical: A C compiler (gcc or llvm) for each CPU and no CPUs that were tied to a particular FPGA. Two of the CPUs didn’t fit on the Arty board, so their comparisons are a bit more theoretical.  There were other considerations such as speed, documentation, debugging support, and others.

It was interesting to see the various CPUs ranging from some very mature processors to some new kids on the block, and while the evaluations were somewhat subjective, they seemed fair and representative of the things you’d look for yourself. You can also get the test code if you want to try things for yourself.

The winner? The post identifies three CPUs that were probably the top choices, although none were just perfect. Of course, your experience may vary.

If you want an easy introduction to adding things to a soft CPU, this RISC-V project is approachable. Or if you prefer SPARC, check out this project.

Xilinx Makes MIPI CSI And DSI Controller IP Blocks Free To Use With Vivado

If you want to use a display or camera with an FPGA, you will often end up with a MIPI-based solution. As of the Xilinx Vivado 2020.1 release, the MIPI DSI (display serial interface) and CSI (camera serial interface) IP blocks are now bundled with the IDE to be used freely with Xilinx FPGAs.

The Xilinx MIPI CSI2 receiver block implements the CSI-2 v1.1 specification, which although a bit older is essentially the same CSI implementation as on the Raspberry Pi boards. This means that it would allow one to use this IP block on an FPGA with many common CSI camera modules out there. The IP block offers a standard AXI4 interface for connecting up to the rest of a design.

Similarly, the Xilinx MIPI DSI transmitter block implements DSI v1.3 specification. This offers a maximum data rate of 1.5 Gbps, with an AXI4-lite interface to communicate with the rest of the design. Both IP blocks are subject to the Core license agreement, which doesn’t appear to preclude it from being used in a specific fashion, whether commercial or personal.

This is not the only way to use MIPI devices with an FPGA, of course. Take for example [Daveshah]’s CSRIx project on Github.

Header image: Kwapix / CC BY-SA 4.0