mpw-004 / LVOM Low Voltage Oxide

the LVOM shapes of all of mpw-004

40 of 40 dies rendered.

1,964,063 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 (5.5 MB in total, largest 136.8 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-004_LVOM_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_LVOM_reticle.png
the stitched reticle, full resolution
4.0 MB e31b96e16c2fc33d3f1e318b7d132a749b12c718c7b6ddcc9ec17ede1254ee6b1b64ab2b 6dc8b4aece26bc942a0c077660b23ff03b9f07792a01f5bb9e4f28b2734cc162
mpw-004_LVOM_reticle_overview.png
the same image scaled to fit 4096 px
209.9 kB 7a7d5ca0fdc680c0850573f8b5cb1b4981dee3ec928705c0970282c9e836a441bbb48939 28379660b91c11b192c6b7640edcaac49af96442b8e2be5fdf8a0154e95d12e4
mpw-004_LVOM_tiles.json
where every tile belongs, and its checksum
13.4 kB 9f3c3a3bea530f061b9d47b1f6eec60003975c21f2202734cfadc84da6689a3abe842f5b 503f6be72468b36b7a42be5a165d9b69ad81f064fec34881f0abe38344829a34
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, 0 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
A2 zero_to_asic_course_mpw2_re-run 7576×107767576, 0 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
A3 cmos_only_self-biased_current_source 7576×1077615152, 0 128.8 kBdf0467cf5612cba559f678853ba75857892bd200472e6d12aeb7c8f13d3b8d8b
A4 pifive-soc 7576×1077622728, 0 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
A5 ram_generator 7576×1077630304, 0 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
A6 space_controller 7576×1077637880, 0 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack_b1 7576×107760, 10776 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
B2 4t1r_testchip 7576×107767576, 10776 129.0 kB9c2650cb168bad2c6322128309c90cd4e2b979832b54fa9e834f8154ac9f8dc5
B3 yonga-turbo_encoder 7576×1077615152, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B4 icesoc 7576×1077622728, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B5 key_value_store 7576×1077630304, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B6 subservient-mpw4 7576×1077637880, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B7 logic_bist 7976×1077645456, 10776 135.9 kBace6efceb21e9ce5e157c61a8ef83fe8826f76a336cf9ae008c0094363c59bb2
C1 riscduino-r1 7576×107760, 21552 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
C2 template 7576×107767576, 21552 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
C3 vexriscv_soc 7576×1077615152, 21552 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
C4 ring_oscillator 7576×1077622728, 21552 128.3 kB098239634f69371fc415835651e1343ca704f0853ca5e8829430232b54b9148d
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 an_mssro-based_vcro 7576×1077637880, 21552 128.3 kB6340e4b08887e45d66aaf759279d701f0a4e9c54aa44fbb611f4bd1f0ae60200
C7 approximate_multiplier 7976×1077645456, 21552 135.9 kBace6efceb21e9ce5e157c61a8ef83fe8826f76a336cf9ae008c0094363c59bb2
D1 icd_fast_nu_mpw4 7576×107760, 32328 128.4 kBfe65ec3ac54c4f849f67e7efca166840e0243280a27e36570a8e5a514f51be36
D2 rram_testchip 7576×107767576, 32328 128.3 kB098239634f69371fc415835651e1343ca704f0853ca5e8829430232b54b9148d
D3 rest 7576×1077615152, 32328 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
D4 fault_tolerant_16-bit_alu_design 7576×1077622728, 32328 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
D5 sky130_radtol_test_chip 7576×1077630304, 32328 128.3 kB6340e4b08887e45d66aaf759279d701f0a4e9c54aa44fbb611f4bd1f0ae60200
D6 two_stage_cmos_opamp 7576×1077637880, 32328 128.3 kB6340e4b08887e45d66aaf759279d701f0a4e9c54aa44fbb611f4bd1f0ae60200
D7 ks-guitar 7976×1077645456, 32328 135.9 kBb145488ec1083628e22f6713ebb39a3178973d734360a4d2e0aab2bfa7d0d392
E1 ks-guitar-2s 7576×107760, 43104 132.1 kB842b1b5c8a022a0693e5339dd00add53eed322b57c2c8f0a113096c332e2bf91
E2 yifive_a2 7576×107767576, 43104 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
E3 coriolis_test_soc_-_mpw4 7576×1077615152, 43104 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
E4 sar-adc_and_analog_circuits 7576×1077622728, 43104 128.2 kB31a65062b59cdeb96ad241fb777870e66264543dfb70c83ff846690fed1af14e
E5 junga_soc_mpw4 7576×1077630304, 43104 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
E6 ibtida-ii 7576×1077637880, 43104 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
E7 azadi_ii 7976×1077645456, 43104 135.9 kBb145488ec1083628e22f6713ebb39a3178973d734360a4d2e0aab2bfa7d0d392
F1 open_source_configurable_fpga_fabric 7576×111760, 53880 136.0 kB90c5817926f269c499e6bc20e30f734f61536f3dbebf57962703210dcdbb07c6
F2 current_starved_vco 7576×111767576, 53880 132.2 kBecda93502b6ded68cf881b9fe7fc9125735ff5eaf9e7809a78ae7c3ceb26767d
F3 updown_counter__test_ 7576×1117615152, 53880 136.0 kB6737a97353d22f5f5bbf570c8f1c6ebf0a142a5cec4fdb64ba7774cbc2c0b525
F4 skullfet 7576×1117622728, 53880 132.2 kBecda93502b6ded68cf881b9fe7fc9125735ff5eaf9e7809a78ae7c3ceb26767d
F5 cmos_rail-to-rail_comparator 7576×1117630304, 53880 132.4 kB5287a5e6d360c5afd4eb3b33e0254b036545f089204f2a092e7a6fe906aeb1f7
F6 kasirga_k0 7576×1117637880, 53880 136.0 kB6737a97353d22f5f5bbf570c8f1c6ebf0a142a5cec4fdb64ba7774cbc2c0b525
F7 iotestvehicle 7976×1117645456, 53880 136.8 kBabd7ab811a890c0f16e158b00f86233100d3ff0249794cb533d83f1467ee10b8

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 LVOM on mpw-004

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

Mask layer
LVOM — Low Voltage Oxide
Process step
44 — Low voltage oxide mask
Drawn layers
75:20, 80:20
Layer on the mask-layer GDS
46:0
Detail
LVOM = hvi OR tunm and the SKY130 layer sheet
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.