f4pga-arch-defs
ideas
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f4pga-arch-defs
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Learning Verilog and FPGA
QuickLogic [1] seems to support and target the open tool environment for their devices -especially the F4PGA [2] toolkit (known earlier as symbiflow). Others have mentioned Lattice FPGAs. But the impression I got from Lattice is that they like the development of open tools, but don't want to invest too much in it. QuickLogic on the other hand, contribute code and design directly to F4PGA project and allied ones like Migen.
[1]: https://www.quicklogic.com/software/qorc-mcu-efpga-fpga-open...
[2]: https://f4pga.org/
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OpenPOWER Foundation Demoes the LibreBMC Power-Based Open-Source BMC
I note that F4PGA (formerly SymbiFlow) Project X-Ray folks are documenting Xilinx FPGAs, hopefully you will be able to replace your use of Vivado at some point:
https://f4pga.org/
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Intel announces new FPGA families
FPGAs would be so much more useful if AMD(Xilinx)/Intel(Altera) just gave up trying to build there own tools and instead supported F4FPGA: https://f4pga.org
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Arduino IDE 2.0
Have you looked at F4PGA? They are working on exactly that.
https://f4pga.org/
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Embedded Systems Weekly #119
F4PGA In the world of FPGA tools, it is refreshing to be able to use the suite of open source tools provided by F4PGA. For now, it supports only Xilinx 7-Series, Lattice iCE40, Lattice ECP5 FPGAs and QuickLogic EOS S3 but the team behind the projet is working to support more targets.
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Hacker News top posts: Sep 16, 2022
F4PGA: Open FPGA Tooling: Xilinx 7-Series, Lattice iCE40/ECP5, QuickLogic EOS S3\ (19 comments)
- F4PGA: Open FPGA Tooling: Xilinx 7-Series, Lattice iCE40/ECP5, QuickLogic EOS S3
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A working FPGA toolchain on Apple Silicon
In addition to open-source FPGA toolchains (e.g., https://f4pga.org/, GHDL, Verilator, Yosys, IceStudio, etc.), you _can_ actually run vendor/commercial tools (e.g., AMD/Xilinx Vivado) on M1/M2 macs, through virtualization (VM, or containers). Until quite recently, the only available option to run x86_64 on macOS/arm64 was QEMU (e.g., UTM, docker, lima). It worked but was pretty slow, especially for mammoths like Vivado, larger designs, and in case you needed the GUI. With the release of Ventura (currently at final betas), it’s possible to run Linux x86 binaries using rosetta 2, which is way faster than QEMU. I currently run Vivado 2022.1 on macOS/M1 Ventura, using UTM (https://mac.getutm.app/). It’s 100% usable and feels even faster and snappier than my Linux machine!
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Parallel Programming for FPGAs
There are some FPGAs that have been _fully_ reverse engineered and now have open source toolchains, such as Lattice iCE40 and Lattice ECP5(-5G). Others are coming along, such as Xilinx 7 series and Lattice's Nexus FPGAs (CrossLink and Certus products).
See: https://f4pga.org/
As far as boards go, there are many, many out there. Some of my favorites are:
Alchitry Au: https://www.sparkfun.com/products/16527
Olimex iCE40HX8K-EVN: https://www.olimex.com/Products/FPGA/iCE40/iCE40HX8K-EVB/ope...
ECP5-5G evaluation kit: https://www.latticesemi.com/products/developmentboardsandkit...
ideas
- FPGA Interchange format to enable interoperable FPGA tooling
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CircuitPython: Programming Hardware in Python
See also the list from my low-level hardware description language unification idea[1]. There are mostly active projects.
[1] https://github.com/SymbiFlow/ideas/issues/19
What are some alternatives?
apio - :seedling: Open source ecosystem for open FPGA boards
netlistsvg - draws an SVG schematic from a JSON netlist
finn-examples - Dataflow QNN inference accelerator examples on FPGAs
python-fpga-interchange - Python interface to FPGA interchange format
chisel - Chisel: A Modern Hardware Design Language
firrtl - Flexible Intermediate Representation for RTL
verible - Verible is a suite of SystemVerilog developer tools, including a parser, style-linter, formatter and language server
f4pga - FOSS Flow For FPGA
arduino-ide - Arduino IDE 2.x
edalize - An abstraction library for interfacing EDA tools
neural-instrument-cloning - In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results from as little as 16 seconds of target data.