mpw-001 / CAPM Capacitor MiM

the CAPM shapes of all of mpw-001

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

155 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_CAPM_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_CAPM_reticle.png
the stitched reticle, full resolution
3.5 MB dee738ea7ca04bfaee9b6dee9a724c5abf90fe115ca8782ccd2fb761a24f3a3c6e35c064 a733ff0a60d0435524e42a2384bf62f95dba0b24ce782b818ee3df49d83daf52
mpw-001_CAPM_reticle_overview.png
the same image scaled to fit 4096 px
15.5 kB 57d3da6cbd72a2fcbe866c2fea370f0d20a9927161955dd4a65bca8d9bd172741c5bfbbc dd50a7cba42cd21f8e8552032098ef0b161c2e817fdf11dcb6af67854eab6417
mpw-001_CAPM_tiles.json
where every tile belongs, and its checksum
13.4 kB 0d2649f3afc6ca7672b028e2e04ce43220cc97e83e433d516da415aa8c84c9c5e0d9ae11 aa13f0c84862ab2ec39c8c12cd733f46c422a191741b785efce4799e4f4cac39
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 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
A2 caravel_vdp_lite 7576×107767576, 0 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
A3 caravel-softshell 7576×1077615152, 0 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
A6 caravel_spectrometer 7576×1077637880, 0 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
B2 caravel-hs32core 7576×107767576, 10776 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
B3 caravel_astria_testchip 7576×1077615152, 10776 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
B4 caravel_pyfive 7576×1077622728, 10776 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
B5 caravel_fasoc 7576×1077630304, 10776 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
B6 caravel-mph 7576×1077637880, 10776 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
B7 caravel_rapcores 7976×1077645456, 10776 106.9 kBbe317a5a81978b402ac0f6f162b1f9f5609ffe92abddacc1961965021203f037
C1 MorphleLogic 7576×107760, 21552 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 103.5 kBc4075b1a2c14f50d717001bbd589e96c178020835669a312ff2d544e92296d78
C4 Caravel-SOFA-HD 7576×1077622728, 21552 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
C7 caravel_fulgor_opamp 7976×1077645456, 21552 108.3 kB5d8cde703199082d0feaecfbba111836c9bbf9414838d301ffa36cd84e80fd12
D1 q-rib 7576×107760, 32328 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
D2 caravel_fwpayload 7576×107767576, 32328 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
D3 caravel_OpenTDC 7576×1077615152, 32328 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
D4 caravel_analog_rf 7576×1077622728, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D5 Caravel_Fault_SPM 7576×1077630304, 32328 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
D6 caravel_skywater130_decr 7576×1077637880, 32328 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
D7 microwatt-caravel 7976×1077645456, 32328 106.9 kBbe317a5a81978b402ac0f6f162b1f9f5609ffe92abddacc1961965021203f037
E1 caravel_mram 7576×107760, 43104 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
E2 Caravel_EL2_SoC 7576×107767576, 43104 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
E3 caravel_aes 7576×1077615152, 43104 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
E6 Caravel_N5_SoC 7576×1077637880, 43104 102.9 kB5db10967e56f20fc7d8070afa342195d154578b6d4e3ad6a5b126ba01541226e
E7 caravel_linsorter 7976×1077645456, 43104 106.9 kBbe317a5a81978b402ac0f6f162b1f9f5609ffe92abddacc1961965021203f037
F1 caravel_fpga250 7576×111760, 53880 106.7 kB5c516bf76f24e7de6eefbff89669569edc5e75e4521e1a5cf0103fbdbd074f20
F2 crypto-accelerator-build 7576×111767576, 53880 106.7 kB5c516bf76f24e7de6eefbff89669569edc5e75e4521e1a5cf0103fbdbd074f20
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 106.7 kB5c516bf76f24e7de6eefbff89669569edc5e75e4521e1a5cf0103fbdbd074f20
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 107.1 kB6a8fb7f01defc3495d46c1073931db46407d09c1dd9d8bc4c671eaea9779e24e
F5 caravel_DSP48_DAC 7576×1117630304, 53880 106.7 kB5c516bf76f24e7de6eefbff89669569edc5e75e4521e1a5cf0103fbdbd074f20
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 106.7 kB5c516bf76f24e7de6eefbff89669569edc5e75e4521e1a5cf0103fbdbd074f20
F7 caravel_riscv_osu 7976×1117645456, 53880 110.9 kB7b8c903dd0e54021a32a02b689e8775b0555f211092c1b14df92aeb9cff3896f

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 CAPM on mpw-001

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

Mask layer
CAPM — Capacitor MiM
Process step
137 — Capacitor mask
Drawn layer
89:44
Used in SKY130
no

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.