mpw-003 / P1M Poly 1

the P1M shapes of all of mpw-003

40 of 40 dies rendered.

211,920,353 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 (305.0 MB in total, largest 13.8 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-003_P1M_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_P1M_reticle.png
the stitched reticle, full resolution
124.3 MB 4f07c550858eac32707963fc54fe0ce91539535f9fa9376c6ff8d5b0d65d2918673c3f44 337e0327811b00586ed310ebe7dd0292678ebe1b05f9067edac6ad87f1ef0b65
mpw-003_P1M_reticle_overview.png
the same image scaled to fit 4096 px
7.5 MB 6cde276e8a707be92f79ecd5c001ea39b30ae719810f0384604e51c130f71c3d94ddca80 35442ed2a63dad93a300fc13b37b49b94eb4395e0c478353f098a3413f96db2a
mpw-003_P1M_tiles.json
where every tile belongs, and its checksum
13.5 kB 21511466d963f32116e7a12a77de14ad018634551f3cfe42beda3cdf2f9cdb10a7c19c00 02d46456c7b2b3cf3d1d424686e8a7d86aa8fedc9ec6321360a3bebbcac5433c
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 6.8 MB6b875736c3cb5dda8f3894e03017396a596fd12adb0a905ed416d2364e8f9f4e
A2 1v8_ldo_design_in_skywaters_130nm 7576×107767576, 0 6.6 MBec4188af55857bcf69f9effbc65bef02aa4b153414014839103e7aec12ced7d8
A3 openram_test 7576×1077615152, 0 6.8 MBb2e108caa0cfff84b68369011817adcd8bed27e9dbae198ff793721e492282b7
A4 zero_to_asic_course_group_submission_mpw3 7576×1077622728, 0 7.6 MBa70bfb8f4dc6213eea8e772c5816b3cb4fcab14c600041c595d2cdf7af0a8146
A5 crypto_accelerator_v2 7576×1077630304, 0 8.9 MB5bbccd0161641c12ff55c135ce3a7e74465fb514c48b6bcd5df4c26eff4901ec
A6 picorf0 7576×1077637880, 0 7.5 MB800f5f5ec239ce429503df4bb5a63a2ca0f0fcb29d039c988d577832181a3bcc
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack 7576×107760, 10776 7.1 MB0ebae6b236aebc0667b35dd10857eeb21d9ac4b866932e0428c7caa7525694b2
B2 yonga-100m_ethernet 7576×107767576, 10776 7.7 MBd4c1fdecbb1fc76f3b2b37a48420cb87afcac1dc5836ceb4554ec3d687548ef4
B3 approximate_multiplier 7576×1077615152, 10776 6.8 MBd616565673f15a4ceab1411ebcdcac3ff4a2f90f1bb5d05d80fb5c68f50f6253
B4 vsd 7576×1077622728, 10776 6.6 MB8904f3c285ab78d4a231d68b35084453c7232e1ba2a1a5902ad14ca40a9b4e25
B5 asic_key_value_store 7576×1077630304, 10776 6.8 MB6b875736c3cb5dda8f3894e03017396a596fd12adb0a905ed416d2364e8f9f4e
B6 mbist_controller 7576×1077637880, 10776 8.4 MBd2322b84f901ad6b7620f3d3e48bf42c3ec8cc4aa2c37f140b0e1bd0d0c9c80c
B7 riscduino 7976×1077645456, 10776 9.7 MB2ff9523d0c857363de18f5b73af59b0b3deb3fc8a2e74065e264e4fd030eb914
C1 caravel_peripheral_extender 7576×107760, 21552 7.6 MB1af931c67f3790d27e8b6c41d1735c1ac006ef253e3c41149b3f258cd269d5ea
C2 ucsc_openram_test_chip_v2 7576×107767576, 21552 7.9 MBf2b6d65a0717b236f1f84dd9344ffe24d069ba67b0d02fca882d9a773bf4b098
C3 class-d_audio_amplifier 7576×1077615152, 21552 6.6 MB723e3f9da219309955b064e7fbd14603fca603c8f29b40626bb125f268bf60df
C4 efabless_processor 7576×1077622728, 21552 6.8 MB8f379acc74af69c00fc9dffb502539234d83f8ebcd3108693af8a732012d47db
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 tooltest 7576×1077637880, 21552 6.7 MB47c13135d6b0f1ba2ea72816ca51be0e72df863adb1cedf6458d3aa58957ca56
C7 comparator_and_mixed_signal_test 7976×1077645456, 21552 6.6 MBccda8fd21bf22fbe6c26ac3848011a96b671e76befa64a388029a93c7a08ccd6
D1 current_starved_voltage_controlled_oscillator 7576×107760, 32328 6.5 MB22ac929262b4f0b9a7fb0744e636b878bd36847e35c15f21bbcdfcc00eb6340a
D2 two_stage_cmos_operational_amplifier 7576×107767576, 32328 6.5 MB1609630312f385940750254768b987f3ed2ad92abcab743ef27d6b29463ae475
D3 sziklai_pair_amplifier 7576×1077615152, 32328 6.5 MB93b302beb3edc780c34217fb83621511987842258e4d27436e454ee11f98e955
D4 two_stage_cmos_opamp_with_frequency_compensation 7576×1077622728, 32328 6.5 MB3432dd54207b20a25ef7ea1390989583b54d027b3fbf2b71954cef99349da099
D5 pre-trained_neural_network_for_mnist 7576×1077630304, 32328 8.4 MB6d892b430595f347068ec9197c72138aa65255282795378f4e6525b6e263f4ad
D6 rotfpga 7576×1077637880, 32328 7.6 MB77f32aa52d7f7de3375ed256ba57398b0ee8a8f11a175231e60241b6c00db93a
D7 treepram 7976×1077645456, 32328 12.0 MB328a4cd1f3165eb2278c880d4a660a46102df982955da73ebe0436fb4113822d
E1 treepram-red 7576×107760, 43104 13.8 MBc4c3c3c6c20c541027309c6b528850e45e0635ccd81208c2b3f27033a3c886ee
E2 caravel_jacaranda-8 7576×107767576, 43104 7.6 MBc56e13688e4aa3b379b3d3d2279fdc3e420c64d558e02a5cf2eb6003d710ddb4
E3 sudoku_accelerator 7576×1077615152, 43104 7.7 MBc6722849ce37ab983e26293daf69d5c2cec56d79cf745abb2c3c5d5fe6a4198c
E4 fixed2float_converter 7576×1077622728, 43104 6.8 MB147d8107ad9d36bc7322676efd686039e8d1cc065348c1ba64e95b3eba239b9b
E5 high_speed_adder 7576×1077630304, 43104 6.7 MBdeb7dad38c1baaaf78c6601e51d7df4aafc2c81cccd5a5a9f76cf713134f3f00
E6 my_proj 7576×1077637880, 43104 6.8 MB903cb4f6deb522f9f4ce8361f45d91cd2045f3b4206fb0047e586968b6dfadf3
E7 pwm_test 7976×1077645456, 43104 6.8 MB92a2758527fdb6b1054411b9c1a3cb63f5d07178251c8461bbf72c83bf5ce499
F1 elpis-light-mpw3 7576×111760, 53880 12.1 MB8041107900c4f452c02856665eebc7e12f2d8b4774ee0753f000bc3920f1f2bf
F2 vsdbabysoc 7576×111767576, 53880 7.7 MB7cf111ef013ee735c7befe16a848ec69f08389828e23918498529bf12eb1ffdf
F3 vsdmemsoc 7576×1117615152, 53880 8.3 MB50a52afd918e10232dfec66229b7443ebebcd50aa51b1dee32b5fed6a9a0e068
F4 caravel_sram_test 7576×1117622728, 53880 6.7 MB85eb3deec706de909395501367be345c109bde5357bf4a9a5777331baea270ae
F5 8-bit_sar-adc_with_offset_calibration 7576×1117630304, 53880 6.6 MBb7446aad0ea8bf3ee2c130b0da2f2bc0ece87760e9d1b5a7c59b2f9ebc88ad46
F6 caravel_hyperram_driver_and_openram 7576×1117637880, 53880 6.8 MBb3ac5eb59a91172665359ce51b339e12a4f4f68763cd6ae03ca94309536cf724
F7 caravel 7976×1117645456, 53880 6.8 MB1b985736a83c59ef54dfd71a30df9e0c97916c15542428f5f6ad9369f8500afe

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 P1M on mpw-003

Resolved: reticle 5CS8008AC, run mpw-003, mask P1M

Mask layer
P1M — Poly 1
Process step
61 — Poly mask
Drawn layer
66:20
Layer on the mask-layer GDS
28:0
Fill layer
28:28
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.