mpw-003 / LVOM Low Voltage Oxide

the LVOM shapes of all of mpw-003

40 of 40 dies rendered.

2,028,546 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 139.9 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-003_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-003_LVOM_reticle.png
the stitched reticle, full resolution
4.0 MB 02badc55e4e57b047f8b2dce3237bc2a3bed80c3dd5511bd47713c15963b8e9c6bd79fe0 e3ef065e2b01da2c99fcfde6f6c097dfa7daaf3a2cf5afbd93eb413e8449ca4b
mpw-003_LVOM_reticle_overview.png
the same image scaled to fit 4096 px
212.8 kB 96a5eff6fa54d71e02a020d2ef1a7602de21f1916b3e468929c9e747a2987a6b1c4a5597 149e184e4859ed188da2fe92ec36ff13a2d45f769f02ff780a81118ca25b5657
mpw-003_LVOM_tiles.json
where every tile belongs, and its checksum
13.5 kB d156ddc146f66e53f45ce82a4bb369213af3ba673b08570bdaddce107cb9c4993b586220 5a384f8cd37275704e52fe6ea9dcf4c388edcd808b9d18edac2c69bba61941a2
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 stdcelllib 7576×107760, 0 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
A2 1v8_ldo_design_in_skywaters_130nm 7576×107767576, 0 130.3 kB6e66ecb12382bcdeccbcba511dde650d44eb5abf19a29a5d3c22033347a85250
A3 openram_test 7576×1077615152, 0 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
A4 zero_to_asic_course_group_submission_mpw3 7576×1077622728, 0 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
A5 crypto_accelerator_v2 7576×1077630304, 0 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
A6 picorf0 7576×1077637880, 0 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack 7576×107760, 10776 132.1 kB842b1b5c8a022a0693e5339dd00add53eed322b57c2c8f0a113096c332e2bf91
B2 yonga-100m_ethernet 7576×107767576, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B3 approximate_multiplier 7576×1077615152, 10776 132.1 kB842b1b5c8a022a0693e5339dd00add53eed322b57c2c8f0a113096c332e2bf91
B4 vsd 7576×1077622728, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B5 asic_key_value_store 7576×1077630304, 10776 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
B6 mbist_controller 7576×1077637880, 10776 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
B7 riscduino 7976×1077645456, 10776 135.9 kBace6efceb21e9ce5e157c61a8ef83fe8826f76a336cf9ae008c0094363c59bb2
C1 caravel_peripheral_extender 7576×107760, 21552 132.1 kB842b1b5c8a022a0693e5339dd00add53eed322b57c2c8f0a113096c332e2bf91
C2 ucsc_openram_test_chip_v2 7576×107767576, 21552 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
C3 class-d_audio_amplifier 7576×1077615152, 21552 128.3 kB098239634f69371fc415835651e1343ca704f0853ca5e8829430232b54b9148d
C4 efabless_processor 7576×1077622728, 21552 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 tooltest 7576×1077637880, 21552 132.1 kB842b1b5c8a022a0693e5339dd00add53eed322b57c2c8f0a113096c332e2bf91
C7 comparator_and_mixed_signal_test 7976×1077645456, 21552 132.8 kB07cb2c77197e8d6e83c3c26b87b50feebce85b506e47acaba987e340eaa400b0
D1 current_starved_voltage_controlled_oscillator 7576×107760, 32328 128.3 kB6340e4b08887e45d66aaf759279d701f0a4e9c54aa44fbb611f4bd1f0ae60200
D2 two_stage_cmos_operational_amplifier 7576×107767576, 32328 128.1 kBdbcf3505cd89c48d8ef5215f4f67fd2d59bcb9f042d255ee7310c892d10acf55
D3 sziklai_pair_amplifier 7576×1077615152, 32328 128.5 kB68c83bae37408dfbca13e8a3969f29881ade33e47a84a6641dd23b1249f95db5
D4 two_stage_cmos_opamp_with_frequency_compensation 7576×1077622728, 32328 128.6 kBd18289c8195c9e483d0c6f018dba342fc606b06ed926a35a655ecb24db09bd57
D5 pre-trained_neural_network_for_mnist 7576×1077630304, 32328 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
D6 rotfpga 7576×1077637880, 32328 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
D7 treepram 7976×1077645456, 32328 135.9 kB0d5abad81ff8487de0530771926ef35f153e4a94adb7c52c22c3b77c3971177a
E1 treepram-red 7576×107760, 43104 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
E2 caravel_jacaranda-8 7576×107767576, 43104 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
E3 sudoku_accelerator 7576×1077615152, 43104 132.1 kB842b1b5c8a022a0693e5339dd00add53eed322b57c2c8f0a113096c332e2bf91
E4 fixed2float_converter 7576×1077622728, 43104 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
E5 high_speed_adder 7576×1077630304, 43104 132.1 kB2d8a08a8d036ca247b0322cc2226b3b75f6ab3f1161deeafdc1b881ef8f5397b
E6 my_proj 7576×1077637880, 43104 132.1 kB094a09b5b36b7ff7c9915cc0e58be81248c198f8429c68a06808139507ffe5ef
E7 pwm_test 7976×1077645456, 43104 135.9 kB0d5abad81ff8487de0530771926ef35f153e4a94adb7c52c22c3b77c3971177a
F1 elpis-light-mpw3 7576×111760, 53880 136.0 kB90c5817926f269c499e6bc20e30f734f61536f3dbebf57962703210dcdbb07c6
F2 vsdbabysoc 7576×111767576, 53880 136.0 kB90c5817926f269c499e6bc20e30f734f61536f3dbebf57962703210dcdbb07c6
F3 vsdmemsoc 7576×1117615152, 53880 136.0 kB90c5817926f269c499e6bc20e30f734f61536f3dbebf57962703210dcdbb07c6
F4 caravel_sram_test 7576×1117622728, 53880 136.0 kB90c5817926f269c499e6bc20e30f734f61536f3dbebf57962703210dcdbb07c6
F5 8-bit_sar-adc_with_offset_calibration 7576×1117630304, 53880 132.2 kB87b1a7ccfcf2f3b185049e75dbdde62ef2b70366e48acc46a546ca0eabab2962
F6 caravel_hyperram_driver_and_openram 7576×1117637880, 53880 136.0 kB6737a97353d22f5f5bbf570c8f1c6ebf0a142a5cec4fdb64ba7774cbc2c0b525
F7 caravel 7976×1117645456, 53880 139.9 kB469fd49b3006530d3b311e307eb749910c5a52588e38d49e964957f244eeaf79

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-003

Resolved: reticle 5CS8008AC, run mpw-003, 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-003 — SKY130 MPW-3

Foundry product
EF MPW#3
Reticle set
5CS8008AC
Run date
2021-11-15
Submissions closed
2021-11-15
Projects
53
Fab lot
4206521
Identification
confirmed — Lot records: EF MPW#3, lot 4206521 = 'SKY130 MPW 3'; confirmed by a photo of the MPW-3 mask set's VIM2 plate label (DEVICE 5CS8008A-A, LAYER VIM2 560A 03-01, archived 2022-05-13), seen 2026-08-28
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-3 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-003/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.