mpw-003 / URPM Ultra-high resistor poly mask

the URPM shapes of all of mpw-003

40 of 40 dies rendered.

90 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 (4.4 MB in total, largest 110.9 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_URPM_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_URPM_reticle.png
the stitched reticle, full resolution
3.5 MB b4cb83a8dc5e7ce887d83fa5f5bd21611b5daf09c5de4e2d0da3e06e61adfe6d850cca4e 751e5922102d2a4186b1873b0947c41a5025aefa9402c696e1ebe865ead75e02
mpw-003_URPM_reticle_overview.png
the same image scaled to fit 4096 px
14.8 kB 50a5c6342460ae302ad40852b46cd9dc46151185a3c90952f940bc3a88f4614a0edf1998 9e0bb744c9c543441d4e492b446ad3c30634f418a6b1558f3cd877015f2b1b62
mpw-003_URPM_tiles.json
where every tile belongs, and its checksum
13.5 kB b51ce86bf489382add73173a08758cc33eb26d523227351a756de85ee3ae593926accb29 8007c27b62b6abe923be3d4250452aaa0ded23211431fae296352cd7c96c6014
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, 0 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
A2 1v8_ldo_design_in_skywaters_130nm 7576×107767576, 0 103.2 kB8334906ed98567422d011d74b52e6d0d431019ad54045d33a376b40e56ad4c46
A3 openram_test 7576×1077615152, 0 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
A4 zero_to_asic_course_group_submission_mpw3 7576×1077622728, 0 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
A5 crypto_accelerator_v2 7576×1077630304, 0 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
A6 picorf0 7576×1077637880, 0 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack 7576×107760, 10776 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
B2 yonga-100m_ethernet 7576×107767576, 10776 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
B3 approximate_multiplier 7576×1077615152, 10776 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
B4 vsd 7576×1077622728, 10776 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
B5 asic_key_value_store 7576×1077630304, 10776 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
B6 mbist_controller 7576×1077637880, 10776 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
B7 riscduino 7976×1077645456, 10776 106.9 kB24fc4f09b4bd28cada855bff8a84875c9d42464781d49f18223fedf9c060cb09
C1 caravel_peripheral_extender 7576×107760, 21552 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
C2 ucsc_openram_test_chip_v2 7576×107767576, 21552 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
C3 class-d_audio_amplifier 7576×1077615152, 21552 103.4 kB97c1d7011374b14fd29c96589dc1122d0f58cba711cdcf5124490c56b2e2c8a5
C4 efabless_processor 7576×1077622728, 21552 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 tooltest 7576×1077637880, 21552 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
C7 comparator_and_mixed_signal_test 7976×1077645456, 21552 107.1 kB361b2ce30cbe22280bdb72c7fdbf7858b8fd57ad99819ede226acd44fee27b6c
D1 current_starved_voltage_controlled_oscillator 7576×107760, 32328 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
D2 two_stage_cmos_operational_amplifier 7576×107767576, 32328 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
D3 sziklai_pair_amplifier 7576×1077615152, 32328 103.4 kB1fcf7f4a2ce28b69ff82eae3f6f642686d066ff56b557a40b5fcbb52fb4332eb
D4 two_stage_cmos_opamp_with_frequency_compensation 7576×1077622728, 32328 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
D5 pre-trained_neural_network_for_mnist 7576×1077630304, 32328 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
D6 rotfpga 7576×1077637880, 32328 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
D7 treepram 7976×1077645456, 32328 106.9 kB24fc4f09b4bd28cada855bff8a84875c9d42464781d49f18223fedf9c060cb09
E1 treepram-red 7576×107760, 43104 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
E2 caravel_jacaranda-8 7576×107767576, 43104 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
E3 sudoku_accelerator 7576×1077615152, 43104 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
E4 fixed2float_converter 7576×1077622728, 43104 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
E5 high_speed_adder 7576×1077630304, 43104 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
E6 my_proj 7576×1077637880, 43104 102.9 kBec7014608b651572d2bb9f21d4f0969ce994d0f8f3e0c0a2b1a9c4e2f4cee026
E7 pwm_test 7976×1077645456, 43104 106.9 kB24fc4f09b4bd28cada855bff8a84875c9d42464781d49f18223fedf9c060cb09
F1 elpis-light-mpw3 7576×111760, 53880 106.7 kB3519556765611d90ce00475d414ac90855795d869e456031d86492340d3de707
F2 vsdbabysoc 7576×111767576, 53880 106.7 kB3519556765611d90ce00475d414ac90855795d869e456031d86492340d3de707
F3 vsdmemsoc 7576×1117615152, 53880 106.7 kB3519556765611d90ce00475d414ac90855795d869e456031d86492340d3de707
F4 caravel_sram_test 7576×1117622728, 53880 106.7 kB3519556765611d90ce00475d414ac90855795d869e456031d86492340d3de707
F5 8-bit_sar-adc_with_offset_calibration 7576×1117630304, 53880 106.7 kB3519556765611d90ce00475d414ac90855795d869e456031d86492340d3de707
F6 caravel_hyperram_driver_and_openram 7576×1117637880, 53880 106.7 kB3519556765611d90ce00475d414ac90855795d869e456031d86492340d3de707
F7 caravel 7976×1117645456, 53880 110.9 kBf4003129e59f6711282296e4e6ff16c7a66ed7d6da5e53cd32fc7a676a5b7686

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 URPM on mpw-003

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

Mask layer
URPM — Ultra-high resistor poly mask
Process step
55 — Ultra-high resistor poly mask
Drawn layer
79:20

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.