mpw-001 / MM4 Metal 4

the MM4 shapes of all of mpw-001

40 of 40 dies rendered.

261,256,010 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 (319.7 MB in total, largest 13.4 MB), 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_MM4_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_MM4_reticle.png
the stitched reticle, full resolution
186.5 MB 6df6566bb6ca113ce04ada3f27ccf7988ac406c25b1da8d3268c6c60d9f366f80c259080 5c74ffe48db2c63b4999b1da6c00ffbc218fb4f283457dc4300b4ceb1c748e13
mpw-001_MM4_reticle_overview.png
the same image scaled to fit 4096 px
5.9 MB 75dfe0eb31543b201afb5a144a1a27eb84b16f55c1b45dcb2b80346a4715048a15357dfa 7d9be944dcdf1cd89fd2425311756e299f645738a2c7adb2328acce2d32fbec8
mpw-001_MM4_tiles.json
where every tile belongs, and its checksum
13.4 kB 6cc89a4771518e9c53d5f53678875350d69d17bf31a6317d6d44fde8f218b0f6cdb92557 e2f496f9a144cceddb99c5d5e942dc07c9ea557fbf752350a9ebc970aa9c5f56
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 12.6 MBed3a0ec1a0d171214a4cd7ea90966e214e4564d2d333ba98c49465744c947066
A2 caravel_vdp_lite 7576×107767576, 0 8.0 MBa4ce0f634339d0489589a308f25cf69a93c4d5aa1ae1e9a07af148409af99400
A3 caravel-softshell 7576×1077615152, 0 10.0 MB8479f3464ea638cf4165b215836fcc85d7770b90797d79367acfa9de8cd67417
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 4.2 MB6252333c62f27b0fd6fb8bcd51b1a5aa65961cea58f19a332d33f753043a38cc
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 11.4 MBc059f137d9565869c55ad8925f56408941e652b3fbca40f73269f89eacdd2a6a
A6 caravel_spectrometer 7576×1077637880, 0 9.9 MB9b61893bf487cba621cd9b4078eb4bb5908a647a6a031a1f0f5978ac6636e7a0
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 6.7 MBa256fd8ed7078ccb1326e6c5508e69c31910c4e71332c08cb6ad35fb87189215
B2 caravel-hs32core 7576×107767576, 10776 8.2 MB20fd4f265cc353482f7c40ebe645b8860fcd3dbe5279add1eba95c9c4e08f578
B3 caravel_astria_testchip 7576×1077615152, 10776 8.9 MB15ab1d315b944057149705cc1fdcedf4e734f0d3457ac3e7dd209d44386a49e4
B4 caravel_pyfive 7576×1077622728, 10776 5.9 MB0d6d34dbf23b6335369d243389ba8870b005561f9147ad4e5bcc9a4020cd3ecb
B5 caravel_fasoc 7576×1077630304, 10776 6.7 MBbc727d4fc1e240ce4972ee2d9bf05d6a67aa7062956b4b67465780ae93256a4b
B6 caravel-mph 7576×1077637880, 10776 8.1 MBbb61f6694788d5d74313c3e73f0b035bb9b49c47b851ad49463e5b322cfbe090
B7 caravel_rapcores 7976×1077645456, 10776 5.7 MBcc35ca7349380a831cc5784053abdeeab32d1507f6bdb8390583af6ccbff20c9
C1 MorphleLogic 7576×107760, 21552 9.2 MBbd118dcfeb842008337d347c657809bd8ae81140e779647e8f0ac8dab311f185
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 8.5 MB447be631a73ab198b8770a77e1125b97ba02e810b441d12d957ba4fb2d9721eb
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 4.2 MBe2c1a5c2bec249a9ae1ab2a81a2ca4e969057726ae8c31843d4ed629408c13fd
C4 Caravel-SOFA-HD 7576×1077622728, 21552 11.9 MB26b7a5ed75bf1478829cba65878ced30988dc3e7fc8d05f4a5bb854844e67ede
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 7.1 MB307f72b88ef70a22e7d64046f015a501063996695e38d598789336d37e3434d5
C7 caravel_fulgor_opamp 7976×1077645456, 21552 4.6 MBabea79921f2c4770e026f9d315a0322428fbc3dd95371699d2a16188ae589db7
D1 q-rib 7576×107760, 32328 8.5 MB485cb6d5845f47787d98bb0ae9fde2c34dc1dc01390edb9d55c5aa18f7b9a5ba
D2 caravel_fwpayload 7576×107767576, 32328 8.7 MBad526bceefede418ab843eb317fcae83c1120d87c9a463fb699ad752e816fc79
D3 caravel_OpenTDC 7576×1077615152, 32328 6.6 MB14fff9af1d6e62414220fa2f2b6ac48f2ab18f6664d93540e59276e1d745ea54
D4 caravel_analog_rf 7576×1077622728, 32328 137.1 kB9c23ffac5d09eeb61ca3e842acaaa784d747739b59d228e75c5f2ba7ab130fda
D5 Caravel_Fault_SPM 7576×1077630304, 32328 8.2 MB09a3756522b7b3b62a059545070342f06b09c9ea44248df9583fceb1eed2d8f3
D6 caravel_skywater130_decr 7576×1077637880, 32328 10.2 MB4f5e23ffa93271b33f639bfc5e1824b2b840347cf97590f4e843b2121a5e6c9d
D7 microwatt-caravel 7976×1077645456, 32328 9.8 MB1670fe708b38056aa3211b35498b3cfb42f40225b24bf313d3b1375ac8cd18f2
E1 caravel_mram 7576×107760, 43104 4.1 MBd3f06686c3b5ef83b4a2cf66322b8df824a041dc24c9c035356d754f1e1ae215
E2 Caravel_EL2_SoC 7576×107767576, 43104 8.7 MB66777783f74766d58529a215ba3832b2004bf4b7b3fc59b0131c3cda813118f3
E3 caravel_aes 7576×1077615152, 43104 7.5 MBd1eb514801a38fcf34e7322db6ae99ea15ab6da9f20ee011bcdb6af8f69b8f4c
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 8.1 MB7603ace2ae8ba2578cbb4b0e60bddbf58ee5ee0867f6c76747c17e1fd1f157d6
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 7.1 MB6acec00d3e3195554370d65536a0c6cfe6910da544f539533478882e31e963c9
E6 Caravel_N5_SoC 7576×1077637880, 43104 7.5 MB6961b7ba0d414810601a49fe34a0727c764b0551a01e270e0f9a9b9ac3dae65c
E7 caravel_linsorter 7976×1077645456, 43104 9.2 MBe615d18e8ffc4b40a25598769cc74a437a5211c4b88e889d14c80215279c74b3
F1 caravel_fpga250 7576×111760, 53880 7.1 MB631564d990bbf43db7fb1b6c1e7fcc4fcf8aa429c54f67d0c3d3f40397ad7d99
F2 crypto-accelerator-build 7576×111767576, 53880 8.2 MB92af849506583f327cd7526d2d5287f09540bfbf7cb34d6af370e358f8e8da2b
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 12.7 MB7a068cb4104e7bccf71824b93d8ecda3f009387549a4b93d1ba6263a79a2988e
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 4.4 MB35938ecd644a8ec90e580685e004428f03d965053c282a98763687fa60daef86
F5 caravel_DSP48_DAC 7576×1117630304, 53880 8.2 MB4b61126a9b53bd59debd24d30a92e8a275a5d586a694bafe0ab1dc857d530b70
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 13.4 MB6e20fea7dca498fd89e3cabfdeff7c513bba0b9588002ecd8321ccccdb7a6527
F7 caravel_riscv_osu 7976×1117645456, 53880 9.2 MB14c3b59def9160cee15cccbd17b7769fd950d253b43daba609e712551ce1d153

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 MM4 on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask MM4

Mask layer
MM4 — Metal 4
Process step
154 — Metal mask4
Drawn layer
71:20
Layer on the mask-layer GDS
51:0
Fill layer
51:28
Also
Metal 4
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.