mpw-001 / MM5 Metal 5

the MM5 shapes of all of mpw-001

40 of 40 dies rendered.

20,596,269 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 (13.2 MB in total, largest 386.4 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_MM5_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_MM5_reticle.png
the stitched reticle, full resolution
8.5 MB d00fdb81f4c148b9661a64a3e7b6e553931870160b911691a45aec883716b4c9e8b2e392 4bf087f4540d797fbc2965e4bb63d00fc85f414debb3bcb1bb97f22ffc012dad
mpw-001_MM5_reticle_overview.png
the same image scaled to fit 4096 px
3.8 MB 64d7fc2760ace150f85b0b0d834efa2b1c3fe8ce564ce767bc8a6e59b3abbb1d7a494a68 a0086583525cdbd4fe69b428edf262527034b83292f9d332e4be54440c3b5715
mpw-001_MM5_tiles.json
where every tile belongs, and its checksum
13.3 kB a1613468f7e08982bf6b462059000a4cf7a3de5ca506f0edb9a4582d0486cb5064fd099b a5ceae06d269add247349501102bdd1e66b90895dc7a23c76377ecc264cdbb06
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, 0 317.0 kB1af2b46e272611865818be610985d434d67ea33daa5ccc1227f96a50031c3079
A2 caravel_vdp_lite 7576×107767576, 0 318.9 kB6feefd7dce288c6ba3587a3471cbc0fd5038549901d87c9af39c530befb391a9
A3 caravel-softshell 7576×1077615152, 0 315.6 kB23ef6360cb31ea8fc399ac109895f34f8f3a57435598e8d2ab94dbab1b0f77b4
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 338.6 kB0456ebe92432e96c560e223b023a38e03ca3a40059d23e04d01ad6c121275237
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 312.9 kBf425b38a73e47c3dd68bae1faa8f664171b89aa8a2a7872a4228c0583fbbf2e5
A6 caravel_spectrometer 7576×1077637880, 0 325.4 kB3ae383c082cd7727e7de906a2ceac987171d2239c5078a081e16a29e1dbfd490
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 313.9 kB3c5af3aacb1a8fb5aaceac89fa4976e81387a9b2a1326a644583b8be94ffc799
B2 caravel-hs32core 7576×107767576, 10776 318.5 kB1e32be12e1ee484f294757a7be00c3c34587994238e8d465c800a4f26dd31d3a
B3 caravel_astria_testchip 7576×1077615152, 10776 322.0 kBe32c5f2318deb19276efd6e564c8d4ec47da5acfd8a07d26330b2e7dee6a9f6e
B4 caravel_pyfive 7576×1077622728, 10776 313.8 kBc643313e387e20dccb3269aa59cd575dca1099323e8c8e48cfaba958259137ca
B5 caravel_fasoc 7576×1077630304, 10776 377.3 kBe02400c249fae2513058f8b0103dacc8a328c27da70f557b59e533c3ad946db0
B6 caravel-mph 7576×1077637880, 10776 319.3 kB013b071ba98c50d995e6c3863775af9de800979011f01f011a8fde26e67e0b65
B7 caravel_rapcores 7976×1077645456, 10776 317.7 kB3628963435ec9e7ea9579c6f0448a608ac6e64c5bfdd32df36dac8576a12331d
C1 MorphleLogic 7576×107760, 21552 317.4 kBe7b92fc0d7c5c254f1ff6f8811fa667266d3d67851e7797630db7cb370bf1294
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 320.5 kB83b4f2d7923b03ef2977ce2999bf4cac81d08d2bf161f184d4d54d5d20338383
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 343.3 kB358454929e6902d88436bd52a6b68d1466af9ccd22cb969fecc3ab730c36f269
C4 Caravel-SOFA-HD 7576×1077622728, 21552 362.9 kB139ebda1c504784d337974f93003e3418b6e0b012ccdcdd2f5f37bfd3e46f73f
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 313.4 kBe197296238fcb88ec01d7b027fbbc5690f7aaff516f82b160778a6bb88e277f5
C7 caravel_fulgor_opamp 7976×1077645456, 21552 339.6 kB3a99beaecaea81ba01cf735f31533360380ea56109a23844fd8e9df08f12dc5e
D1 q-rib 7576×107760, 32328 320.6 kB9e5eaa483e737e95737d0644dd5a6753c8b43835957be8277932bbcb9087a30b
D2 caravel_fwpayload 7576×107767576, 32328 319.0 kB1f390a235a1c58784a6e52182264e6998ec1281fce58ef29756e560386cdadbf
D3 caravel_OpenTDC 7576×1077615152, 32328 320.9 kB32572fea2cda87856f7d455c4f9e6f0b710fad9e3acd55487623954aafb5e5b0
D4 caravel_analog_rf 7576×1077622728, 32328 176.7 kB116c1ac7a0c11d2d0ee8d7eed00232f7745c09aefe1c256e0f8170d59b5c213e
D5 Caravel_Fault_SPM 7576×1077630304, 32328 319.7 kB11dfc2c944bc772e94a31473ec90df50d2299db624c30c88f363f20a777d329a
D6 caravel_skywater130_decr 7576×1077637880, 32328 332.8 kB1769d9d89b9fd83d97c40c48b6add7bea9da77d877a79e56188630c9944a060f
D7 microwatt-caravel 7976×1077645456, 32328 322.7 kBda7af8d49d23b4b440e121e5f4884c16e2e3d053c3a51341459fbbf20f6c4805
E1 caravel_mram 7576×107760, 43104 339.2 kB464ff7b809a35f79ddf517d6737f12e7575557831b4b10b6b49a9958921e2ca7
E2 Caravel_EL2_SoC 7576×107767576, 43104 315.6 kB917c6cc005943666fcba39993a05b80d92176c17ea11d44d3bdd74472bf55251
E3 caravel_aes 7576×1077615152, 43104 316.6 kB5f7f49e5562469d2f7f3072809e8399f4e18f54f01d985aa65c1f28ae0bc175b
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 315.5 kB7cec15721a8b943cc43a6b6ff9ef5c66d9bd3cb159460edcf79ace059dc3203a
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 315.9 kB548cc6cae8b613fbf54e24abf449c80ffb6209c13cd04e55449790c281fbe6bc
E6 Caravel_N5_SoC 7576×1077637880, 43104 317.0 kB0f3129dd543ab6e8313ea213beb556bfbc2579a0fb913aa5cb2eb7a2702272e5
E7 caravel_linsorter 7976×1077645456, 43104 323.0 kBa23bbdcf1c3cc92d7c890edfd59a0c0cf40b3560d4798e117d9b51021ca889df
F1 caravel_fpga250 7576×111760, 53880 318.1 kB3a7bfc2457e1c6c557166f7b91a836e11cdb32399f7ddd4255544f206b403d89
F2 crypto-accelerator-build 7576×111767576, 53880 326.4 kBfa21c5a051ac4d06e9ee0610479d279adbda4043590563928ec0d6233c2b2292
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 357.2 kB9e51f1d36f97a58039b87c6c13ec9e3f04dc9a9c65dfbbf5a47911696d9eb633
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 386.4 kB0d46fcc31678ce34af6538c1678124627eb1d157b9422a2658a6d6358814f75d
F5 caravel_DSP48_DAC 7576×1117630304, 53880 324.6 kBf28b55b746f555d2ea1841ab86b375bd4d3c30c4c518ae69e617829438851a59
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 338.1 kBa5069f2b5b2962bc9bfc4d43587f395b5d433897d528c5cc67e5c98e924a1816
F7 caravel_riscv_osu 7976×1117645456, 53880 327.1 kB0138f0598615bec337bc8f852fc7d7a47f101a86b23cee738005ea85ae18ad7b

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 MM5 on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask MM5

Mask layer
MM5 — Metal 5
Process step
162 — Metal5 mask
Drawn layer
72:20
Layer on the mask-layer GDS
59:0
Fill layer
59:28
Also
Metal 5
Used in SKY130
yes

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.