mpw-001 / MM3 Metal 3-PLM

the MM3 shapes of all of mpw-001

40 of 40 dies rendered.

270,321,750 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 (202.5 MB in total, largest 9.3 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_MM3_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_MM3_reticle.png
the stitched reticle, full resolution
122.2 MB 6cccf6edb5136af8957664914bbcc4f4e23025f06af34bf4855c4073a3161d3f359b1228 df5107bc2f083d5cdccdd0e20cd42f27e3679ec913e4d61e4017c2ffa7eec762
mpw-001_MM3_reticle_overview.png
the same image scaled to fit 4096 px
5.8 MB 5e7698f06ecd1a4b22a85e0ee808752b8c930e19395ffc77ee8c39c44a23791cac0f08e8 aa007c271fa4b98734762ba73359c15eb88355738e31f6006bc78c2a76ea800e
mpw-001_MM3_tiles.json
where every tile belongs, and its checksum
13.4 kB fdc3ba1e60ab43d342d25e481776fc9a52973a6dc23a2eafcf12bb3f010e4b4a9c74c967 2f6bedf7699df14ec01aace8132903b92b6035ce101fb9a6e1bee0599ef36d04
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 7.4 MB28780ba3768634c14c75de2de7a5bc898bdfcff16c1de31facda7190581c49a8
A2 caravel_vdp_lite 7576×107767576, 0 3.3 MB1e04a6e3eb29dfd662997956902f7795621e46f14d51a60d3fc3440456e288bf
A3 caravel-softshell 7576×1077615152, 0 6.2 MB015043134d2c38bd12b74989a95054c3b3eac5b061b1f06ae4af6ac2999a4136
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 3.0 MB9e44de6e8b5a4dd80d2c1d2b1e01f613bd26fab0de0b7c8e5cf873594ee0a077
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 7.1 MB38cc4303e46166a00b5fd706c000d298102630fccf65c23916e1d910867b8a59
A6 caravel_spectrometer 7576×1077637880, 0 5.4 MB00359715e4d76a4c28057a1929674d0e80b76bf5e1457a20628d3f975a3f7a45
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 3.7 MBef511c114153ca548f75607f7b7ed2964e2c213922cec80ddc727b4af00347c4
B2 caravel-hs32core 7576×107767576, 10776 3.7 MBe8fe3380d74a936c4b52bfe6ffaef59bf9618a79b779445b80ca9f455795efb2
B3 caravel_astria_testchip 7576×1077615152, 10776 4.8 MB5c55dfc64f93ef63befc02731533ecdbfe02841193787cfb884bfba23ce3dfcc
B4 caravel_pyfive 7576×1077622728, 10776 3.4 MB994a968dd367505db9dcccd8db966bf38b0afea5682b175aa77668d82a5584a9
B5 caravel_fasoc 7576×1077630304, 10776 5.1 MB3454360489f115117faec49d77adb5d4af4f95bb4eb941455c20782ffd2553db
B6 caravel-mph 7576×1077637880, 10776 3.2 MBbba4b9c6d9267d51cfdc5199d740ef429286a36e2c9efcdba9cc35d1d4e23e9e
B7 caravel_rapcores 7976×1077645456, 10776 4.8 MB58d32f93d64535dbae19a12a11a9e6674a97fc4808fc423a12ba99b5b7110602
C1 MorphleLogic 7576×107760, 21552 5.4 MBccc43139db22e2eedd980d26c0eddb32da46e53a0d7b8fa5d3b2c3a3dd9d7501
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 4.8 MB86cabec9aec99695d9cf1083388e1d3bd3cf0ae9e591fff38040f6fb98b6247e
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 3.1 MB43d51d1bae4a8397fe172d2076fe4bcb977ecd686e4d8068986887603a512112
C4 Caravel-SOFA-HD 7576×1077622728, 21552 8.5 MBc029ae10ad1f1d2e232330be304df3af12fb8dd289625e63b4865e953c2794a4
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 5.1 MB421e3c0bfc4e87e88ee15b54a6160f6628815a0190dccf162ebdbf30ea338434
C7 caravel_fulgor_opamp 7976×1077645456, 21552 3.0 MB8b8d50e81cfd9cbceeda77a1d9215b3d48044b819bf9b57da439a8ea57d2247b
D1 q-rib 7576×107760, 32328 4.7 MB3d09eb63c443cf8676bac9867541e744905bafee5172982611704c84d332753a
D2 caravel_fwpayload 7576×107767576, 32328 5.0 MB9f486d23cc0013f602d0a94249d2a48f76c94aca8505d852450fc5ebb5616d5d
D3 caravel_OpenTDC 7576×1077615152, 32328 4.3 MB103263d997927ad059e9fc212d90e84eea6508998c762eb3c9d0cbdecad4c30d
D4 caravel_analog_rf 7576×1077622728, 32328 196.4 kBf08633c461be9207aec0bd277e814fdb04e34e3efd65cba6878f1cad33822383
D5 Caravel_Fault_SPM 7576×1077630304, 32328 2.9 MBf77071eea169bfe053ce5062644be0aaa5f4bd1195f4d6657a25679d595f91cb
D6 caravel_skywater130_decr 7576×1077637880, 32328 5.3 MB98480506cbd982af1a52cc4821476c49571f72cac37b9b0df93d92d54440ae74
D7 microwatt-caravel 7976×1077645456, 32328 6.1 MB0f016c2ea4c8494aa55308ced7d57173397aee6b1c2d329c97aa4fdeb81ec1da
E1 caravel_mram 7576×107760, 43104 3.1 MB4973d57677a2e8a1eb01ac883f3b76090e41349dd804c69848e65ca50ddbdd3c
E2 Caravel_EL2_SoC 7576×107767576, 43104 6.6 MB325391a85049dcaa89ba81b63af7d28cc3c188422237007da06c43f8c04b5657
E3 caravel_aes 7576×1077615152, 43104 5.1 MB1ecbbe30fa8e76e7ed2f4101f2920efbad049f24c7dbbb5c032894e2e1796508
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 7.2 MBea5204604a2ece72e0b2233f9693219c3beb670e90ab0b4bbd03cbc99c21410f
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 6.1 MBa0e406b31e346016afe395757131077627eb9e94813be90e5656129f29101640
E6 Caravel_N5_SoC 7576×1077637880, 43104 7.0 MBddb40b24a82563e6bb732feb562157b361a678f490eeefc3627205f7883db7fb
E7 caravel_linsorter 7976×1077645456, 43104 5.4 MB44a758c2532bbe49abc5443576beb1826fc8cb073e36e9bf76d51aff0b0a591f
F1 caravel_fpga250 7576×111760, 53880 6.1 MBec4680e35ee861a3f475318552d16ac2833f568323bde75903b87a0d419f0e81
F2 crypto-accelerator-build 7576×111767576, 53880 5.0 MBd55460e763bcbd54a94a762d92251327b282f792f2feadf169918969bee4e60c
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 8.9 MB2f76688ddcdd6da28ce9e027d971783ec3c28745400b783177a5122665a44e66
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 3.0 MBbc741a960870e58d3b63fd0b108b536a1bfc418de6084e9d8f264432a500c9ff
F5 caravel_DSP48_DAC 7576×1117630304, 53880 4.8 MBd720f79a7bebe331a72d40def885629f67c04a48802efe76f333fb9af41e675c
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 9.3 MB74f5366e8455e7dbec0afa386836e7f711faf3b691331160301cdb6ae4e4a4ef
F7 caravel_riscv_osu 7976×1117645456, 53880 5.2 MBc8a5cd25cd9b93fa3334c8a6f8f37454db128c0c96d526ce46de1e404847dd77

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 MM3 on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask MM3

Mask layer
MM3 — Metal 3-PLM
Process step
139 — Metal3 mask
Drawn layer
70:20
Layer on the mask-layer GDS
34:0
Fill layer
34:28
Variants
Metal 3-TLM, Metal 3-S8TM, Metal 3-PLM
Also
Metal 3
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.