mpw-004 / FOM Field Oxide

the FOM shapes of all of mpw-004

40 of 40 dies rendered.

83,685,757 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 (178.8 MB in total, largest 10.0 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-004_FOM_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-004_FOM_reticle.png
the stitched reticle, full resolution
105.5 MB 8643d453d3201762acf5384d2ee9ec5acf26ba673e0527cc256176b2141f81e86194898c 481a4f40ebc2fa9be0508450cd7512e62d7badd05b936a3bb581e39c06bf5aca
mpw-004_FOM_reticle_overview.png
the same image scaled to fit 4096 px
8.0 MB 1c6c7b04f36f2b7c331f7c09e893eed34c7eb6148bdeb22d96c6a8bb1c0f3b7788d54a3b d04d714968e15166ad583081e28bb1d5dc2be60c24303dcb0610bad837d9cc8a
mpw-004_FOM_tiles.json
where every tile belongs, and its checksum
13.4 kB bac579686d94fff59e9d60fa517de31e8af4c42c8c47e238e6eeb5fe8014840cfbcf360f a14beeb9a41cfbc38b8fc866da68e684f33d774f2362973dc5d2df1448065ffe
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 zero_to_asic_course_group_submission_mpw4 7576×107760, 0 5.2 MB3abea2ce1deef84109373643de8e28583ab6049d5a6ee92d9d84957bea52a002
A2 zero_to_asic_course_mpw2_re-run 7576×107767576, 0 4.2 MB2f2c48333300ff53b88da1e8c013e5b3604738aabc2c5ccbe6fca80ed01393e2
A3 cmos_only_self-biased_current_source 7576×1077615152, 0 3.0 MB4109fb668165f5a4d7fb5471731b952b56a89e18ef296b8293c5c994ddf3e61f
A4 pifive-soc 7576×1077622728, 0 4.7 MBf206e66dec8daa0e240e6c0c05a4ba92c5476f66b719c25b335289abaa5607d3
A5 ram_generator 7576×1077630304, 0 3.4 MBaf1be4088e16f3cc1845c84e1f32d576b58f2f9028298a6724c1731ed1c7c6f4
A6 space_controller 7576×1077637880, 0 3.8 MB10dfb314e89aa4dd3e378dcbe1d80892fcfed5684a2821a33e70b7ed3ab4fa93
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack_b1 7576×107760, 10776 3.6 MB03a0cd87986aaecc5e74f42dd75ade399a5e531aa57be5afec113c11e603a78f
B2 4t1r_testchip 7576×107767576, 10776 3.0 MBcc22614348ab91fc6ed9bae5e973efb17076c7a0c841959398a7b9c835ec0e6b
B3 yonga-turbo_encoder 7576×1077615152, 10776 4.1 MB4c6450f6078d56bb27aaa695553680dd95941a5320e17ec85fb949d74a6c7201
B4 icesoc 7576×1077622728, 10776 10.0 MBfa31a0f9eaa082a466df7e5c46a7b247b38c3a254e461a8aa2db175bb564c309
B5 key_value_store 7576×1077630304, 10776 3.2 MB4bb736c7cfffcecdf3b16863dd2e45827893e3882fab8f61e97aa899b364c8ac
B6 subservient-mpw4 7576×1077637880, 10776 4.1 MBffd40fb639d5fffb83066ffb02612f391b0e66dff429a15e30e77c14a8b6d56d
B7 logic_bist 7976×1077645456, 10776 5.0 MB4128fec621ac2122b04d7b51e029399908496fb474e83ef12b7b61cbc37d8f0c
C1 riscduino-r1 7576×107760, 21552 6.1 MB61ff28a46abcd36876573d3dcc975eb2b93554889713f2f1b0f3dcacff551888
C2 template 7576×107767576, 21552 3.3 MB13bc4abeee1e40eb69374d4569d3672c2d8849bd9a36f2039f1c607b260668e7
C3 vexriscv_soc 7576×1077615152, 21552 4.2 MBc0e02eb80fa0891e5f7c991f5376fadac01d3393643c95bc1783e30e915c005a
C4 ring_oscillator 7576×1077622728, 21552 3.0 MB3c8d6a38c1f34009fdf3831f3a5be4ae783e47ebbc68c2b4c23b2401122a8153
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 an_mssro-based_vcro 7576×1077637880, 21552 3.0 MB83e699a2cd553313e0dd23abe43762ffdcdc3483e7cdc31d1792b671f50e22ab
C7 approximate_multiplier 7976×1077645456, 21552 3.4 MBd16991b276f34c4bf36118b5f066229f92e7aef4ec172180c68c70858f9c4bae
D1 icd_fast_nu_mpw4 7576×107760, 32328 3.0 MB2a4ad790afd1e7d5961e7991074771266cb508aa5c8a14da629bb586c7aa560f
D2 rram_testchip 7576×107767576, 32328 3.6 MBcf592d16ad18c8d702b986fd06006eb92fa56f4f7d85cbd30d822de0c45f526c
D3 rest 7576×1077615152, 32328 5.6 MB41425ffe66e88de1bd686107ce7065685ac096a46b7c4e413d30b9ca420cb58b
D4 fault_tolerant_16-bit_alu_design 7576×1077622728, 32328 3.2 MB861a0892e3964541d5a043ab409808ee7ae3fc01c04cf73ad38e77778125d8a7
D5 sky130_radtol_test_chip 7576×1077630304, 32328 5.5 MB6040f128de70e87aeb41be52e5ef4afadfb70f56ba87b28e2296e7c79db64288
D6 two_stage_cmos_opamp 7576×1077637880, 32328 3.0 MB0819a8838453b1d272d9f5c79de780f80eb372b596d294d100026129653554d6
D7 ks-guitar 7976×1077645456, 32328 6.2 MB69fa017d52b5e0ee3f2f7a6c4e4645f440eba8d73b7fd764d50211f7864d9449
E1 ks-guitar-2s 7576×107760, 43104 9.8 MB9ee696d12a3457f41e56e8ffe9d642feb469eb9951261af1a225b8057e6b3c2b
E2 yifive_a2 7576×107767576, 43104 6.1 MB1fd3471690ee2da185e3b39faeb69874c493e851130d9b1c07917e1f7062435b
E3 coriolis_test_soc_-_mpw4 7576×1077615152, 43104 5.1 MBdef7f2b0db3a59ea245a624fffe78a68bf24d9cb220d733193455493af565b92
E4 sar-adc_and_analog_circuits 7576×1077622728, 43104 3.1 MB5dfa5a0d6cbc896e4c236c8f185550c5c3fb0eff78c4058cceaeb53294da49d6
E5 junga_soc_mpw4 7576×1077630304, 43104 4.2 MB9adfae3e10f40c57abcea64cbb2110138365725ef0d4246d979275c9a0474f25
E6 ibtida-ii 7576×1077637880, 43104 4.6 MB4719156d0762b48aa3a281de595b4efe33d23a0eab707a3a20d771e6d2c123eb
E7 azadi_ii 7976×1077645456, 43104 5.3 MB62dd225b5e86378e2a1470630c31e7ce2d97bf64bd573384ab8134c3dbf4cdf1
F1 open_source_configurable_fpga_fabric 7576×111760, 53880 9.8 MB9e13d68bf0e967972005ea6fdb633e2b0c4d09740c1f2eee097abfcba5e0e2c7
F2 current_starved_vco 7576×111767576, 53880 3.0 MBe6bd004841d6159f25c515304497cbeb0f84534bd559e99f02bbd3f25ed0c7d3
F3 updown_counter__test_ 7576×1117615152, 53880 3.3 MB3599a42c4c67a52701eb0fcd7f2dbf499582653b1fc711f5dbb1098775ed5701
F4 skullfet 7576×1117622728, 53880 3.0 MB96829effdc0bd8dd59bb3577ea38beeb15b09fed6272863dfaee970b2f278342
F5 cmos_rail-to-rail_comparator 7576×1117630304, 53880 3.0 MB8521edac27a422c76df5f08123c0aed8aa15bfb6f7d7b20875057a1ab341d3f2
F6 kasirga_k0 7576×1117637880, 53880 4.5 MB8adb4c570a03c821487d191f4d65d9164662b094ac2feb1ca24ff4d413b5fa4c
F7 iotestvehicle 7976×1117645456, 53880 3.1 MB36cf83a049d695478e8c023a26ca933baac61d140fd4eb7371001132ae798bcc

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 FOM on mpw-004

Resolved: reticle 5CS8010AC, run mpw-004, mask FOM

Mask layer
FOM — Field Oxide
Process step
4 — Field oxide mask
Drawn layers
65:20, 65:44
Layer on the mask-layer GDS
23:0
Fill layer
23:28
Detail
FOM = diff OR tap (OR grown pnp emitter)
Used in SKY130
yes

mpw-004 — SKY130 MPW-4 (original)

Foundry product
EF MPW#4 (+ 'With ReRAM' split lot)
Reticle set
5CS8010AC
Run date
2021-12-31
Submissions closed
2021-12-31
Projects
52
Fab lots
4216266
4216266
4216266
Identification
confirmed — Lot records: EF MPW#4, lot 4216266 = 'SKY130 MPW 4'; the set is absent from the 2026-08-25 return shipment (destroyed 2025-06) — see 5CS8018AC
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-4 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-004/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.