mpw-001 / CAP2M Capacitor mask

the CAP2M shapes of all of mpw-001

40 of 40 dies rendered, 1 with nothing on this mask.

39 shapes in total, each die at 0.125 µm per pixel.

result.json · job.json · reticle overview PNG

1234567
A A1 A2 A3 A4 A5 A6
B B1 B2 B3 B4 B5 B6 B7
C C1 C2 C3 C4 C6 C7
D D1 D2 D3 D4 D5 D6 D7
E E1 E2 E3 E4 E5 E6 E7
F F1 F2 F3 F4 F5 F6 F7

Downloading the full-resolution image

The stitched reticle is 53,432×65,056 pixels — 3.48 gigapixels. The file itself is small, but decoding it needs about 3.5 GB of memory however small the file is, and most viewers refuse it outright. So it is also published as 42 tiles of about 7576×10776 px (4.4 MB in total, largest 110.9 kB), cut in the gaps between dies so that every tile holds whole projects and none is split.

To put the full-resolution PNG back together from them, byte for byte, with nothing installed but Python itself:

python3 reconstruct_reticle.py

Run it in a directory holding the tiles and mpw-001_CAP2M_tiles.json and it finds them itself, checks every tile against its checksum as it reads it, and checks the finished file against the manifest. It works because the tiles and the full image are written with PNG's Up filter, which never looks at the pixel to its left — so a row of tiles' scanlines laid end to end is the full image's scanline, and rebuilding moves bytes rather than doing pixel arithmetic.

Whole-reticle files

FileSizeMD5SHA-1SHA-256
mpw-001_CAP2M_reticle.png
the stitched reticle, full resolution
3.5 MB 1214dd5794c414abb803c3a493d1cf9f7a4096390ab160a2942d5b5fcbbf5d3a6c574c2a ae68e0d239a67118f049ce725671ddbef5ccaf21375a66b18d7ff923faee676a
mpw-001_CAP2M_reticle_overview.png
the same image scaled to fit 4096 px
14.1 kB 29f62b13bd22c0458c1e93cef758c7fdac86aa400aa8322ff72b9bfa27b991b615cd576f 2b656b3f479117f9a65532e0ca0635cd4f6bcb7c4deec75f0525825662cc5a87
mpw-001_CAP2M_tiles.json
where every tile belongs, and its checksum
13.4 kB 1c3717da92473db789f4709d811e3b7e80962ef067a5eba028179c4be87ed3f8b80d316e 27a290de7b649da1d3ed2c99765b19487460160b0870015e808364b4310600f3
reconstruct_reticle.py
rebuilds the reticle from the tiles, standard library only
11.9 kB 4406f1f3db8a4a85756610b7c432c47a294714566ceb084187594ced0020f9260faac32a d2e72bf4b2541f1a8acb11eb758917c5b5fa080b41b3a7118487c03f8af2a769

Every file in this directory is listed in MD5SUMS · SHA1SUMS · SHA256SUMS, in the format the standard tools read:

sha256sum -c SHA256SUMS

The 42 tiles

FrameProjectPixelsPositionSizeSHA-256
A1 Caravel_Plus 7576×107760, 0 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
A2 caravel_vdp_lite 7576×107767576, 0 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
A3 caravel-softshell 7576×1077615152, 0 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
A6 caravel_spectrometer 7576×1077637880, 0 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
B2 caravel-hs32core 7576×107767576, 10776 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
B3 caravel_astria_testchip 7576×1077615152, 10776 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
B4 caravel_pyfive 7576×1077622728, 10776 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
B5 caravel_fasoc 7576×1077630304, 10776 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
B6 caravel-mph 7576×1077637880, 10776 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
B7 caravel_rapcores 7976×1077645456, 10776 106.9 kB7956e5fb7bf9d376f66d4c12a767618db7834f766d3d235935e5e94a3b2fb5e3
C1 MorphleLogic 7576×107760, 21552 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
C4 Caravel-SOFA-HD 7576×1077622728, 21552 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
C7 caravel_fulgor_opamp 7976×1077645456, 21552 106.9 kB7956e5fb7bf9d376f66d4c12a767618db7834f766d3d235935e5e94a3b2fb5e3
D1 q-rib 7576×107760, 32328 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
D2 caravel_fwpayload 7576×107767576, 32328 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
D3 caravel_OpenTDC 7576×1077615152, 32328 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
D4 caravel_analog_rf 7576×1077622728, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D5 Caravel_Fault_SPM 7576×1077630304, 32328 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
D6 caravel_skywater130_decr 7576×1077637880, 32328 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
D7 microwatt-caravel 7976×1077645456, 32328 106.9 kB7956e5fb7bf9d376f66d4c12a767618db7834f766d3d235935e5e94a3b2fb5e3
E1 caravel_mram 7576×107760, 43104 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
E2 Caravel_EL2_SoC 7576×107767576, 43104 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
E3 caravel_aes 7576×1077615152, 43104 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
E6 Caravel_N5_SoC 7576×1077637880, 43104 102.9 kB817ec93db7a6754df0e65a66b4975e1f674bce511b379d446d35a1708c2a3d87
E7 caravel_linsorter 7976×1077645456, 43104 106.9 kB7956e5fb7bf9d376f66d4c12a767618db7834f766d3d235935e5e94a3b2fb5e3
F1 caravel_fpga250 7576×111760, 53880 106.7 kB69f1284f08e9d2e787e28b13512a2ce39d55040306f26e9b841fc1b034ba0a70
F2 crypto-accelerator-build 7576×111767576, 53880 106.7 kB69f1284f08e9d2e787e28b13512a2ce39d55040306f26e9b841fc1b034ba0a70
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 106.7 kB69f1284f08e9d2e787e28b13512a2ce39d55040306f26e9b841fc1b034ba0a70
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 106.7 kB69f1284f08e9d2e787e28b13512a2ce39d55040306f26e9b841fc1b034ba0a70
F5 caravel_DSP48_DAC 7576×1117630304, 53880 106.7 kB69f1284f08e9d2e787e28b13512a2ce39d55040306f26e9b841fc1b034ba0a70
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 106.7 kB69f1284f08e9d2e787e28b13512a2ce39d55040306f26e9b841fc1b034ba0a70
F7 caravel_riscv_osu 7976×1117645456, 53880 110.9 kBb31c7a58a8e648f52b1f9c429775136b237a4c00a870030cc05c31cc3eb12633

Position is the tile's top-left corner in the full-resolution image. MD5 and SHA-1 for the same files are in the checksum files linked above.

About CAP2M on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask CAP2M

Mask layer
CAP2M — Capacitor mask
Process step
152 — Capacitor mask
Drawn layer
97:44

mpw-001 — SKY130 MPW-1

Foundry product
MPW#1
Reticle set
7CS8M06AC
Run date
2020-11-12
Submissions closed
2020-11-30
Projects
37
Fab lot
4120787 — shipped 2022-02-17 to Tim Ansell; lot-owner list says 'Other'
Identification
likely — Lot records: lot 4120787 'MPW#1', shipped 2022-02-17 to Tim Ansell
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-1 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-001/foundry

These are renders of the drawn shapes that go on each photomask, taken from the layouts the shuttle's projects taped out — they are not photomask artwork: reticle pitch, the 4x reduction, mirroring and the frame features the fab adds are not modelled. An empty image is a real result; several mask layers are used by no project on a given shuttle. Each die's source layout is named in result.json and lives in the public shuttle repositories under foss-eda-tools.googlesource.com, so every image here can be traced back to the tape-out it came from. Generated with sky130-mask-decoder.