This project includes a 32x32 (1024 bits) DFFRAM macro with a single read/write port (1RW).
The size of the example project is 2x3 tiles, and the DFFRAM macro takes roughly 60% of the available space, leaving plenty of space for custom logic.
TinyTapeout is an educational project that aims to make it easier and cheaper than ever to get your digital designs manufactured on a real chip.
To learn more and get started, visit https://tinytapeout.com.
- Install OpenLane 2 with nix.
Set the
OPENLANE2_ROOT
environment variable to the path where you cloned the openlane2 repository. - Clone tt-support-tools:
git clone -b tt06 https://github.com/TinyTapeout/tt-support-tools tt
- Run the following command:
rm -rf runs && nix-shell ${OPENLANE2_ROOT}/shell.nix --run "python build.py"
The build.py script will create a runs directory and run the OpenLane flow. The results will be in the runs/wokwi directory.
When you run the build for the first time, nix will download all the dependencies. This can take a while, especially if you haven't configured nix to use binary caches. Once the dependencies are downloaded, the build should take up to ten minutes.
You can change the position of the RAM32 macro in your design by editing config.json
as follows:
- Set
MACROS.RAM32.instances.ram1.location
to the x/y coordinates you want the RAM32 to be placed at. - Set
FP_PDN_VOFFSET
to the x coordinate of the RAM + 16.32 (so if the RAM is at 10, setFP_PDN_VOFFSET
to 26.32).
Note that PDN (power distribution network) stripes of your design must match the PDN stripes of the RAM32 macro. Therefore, you must keep
FP_PDN_VPITCH
at the default value (153.6), and set FP_PDN_VOFFSET
to the x coordinate of the RAM + 16.32 (as explained above).
- Submit your design to the next shuttle on the website. The closing date is November 4th.
- Edit this README and explain your design, how it works, and how to test it.
- Share your GDS on your social network of choice, tagging it #tinytapeout and linking Matt's profile:
- LinkedIn #tinytapeout matt-venn
- Mastodon #tinytapeout @matthewvenn
- Twitter #tinytapeout @matthewvenn