mpw-003 / LICM1 Local Intr Cont.1

the LICM1 shapes of all of mpw-003

40 of 40 dies rendered.

358,374,609 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 (148.5 MB in total, largest 9.0 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-003_LICM1_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_LICM1_reticle.png
the stitched reticle, full resolution
77.7 MB 1391836f8966a277f57cb9448df8238f150fe40657cc19a688bbebbd58375c4e8b48bdd4 c4277b3912884ae402518e68c86186f0637495bbc0f520b3358c736b9482a358
mpw-003_LICM1_reticle_overview.png
the same image scaled to fit 4096 px
1.4 MB 9b5ed2b51cd751caaef9b003960ad5d9844860bbf4f91d4779d7e007d324b25fd37e9f9c b9f1758fffe6d585e9c2e9e75ca38e8a74915825a2256e6d2531d1c92d447405
mpw-003_LICM1_tiles.json
where every tile belongs, and its checksum
13.6 kB 971403135d6b4083e3c8fd88bd172e3c41b323ad3433aa7ae662174ddd32b8d4014ac53b 03148a79586de4d2affc2a25b06ccfbf33750bc61d0450e5423bd6284e8e02d2
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 3.0 MBf9f6aa05e6d181b99649c9ac9805e2da828b687f31ae425880d0c1cccdd990ad
A2 1v8_ldo_design_in_skywaters_130nm 7576×107767576, 0 2.9 MB3a5d749b2609e4dddbde2a2d71d1331d4522d261710fd007bfeb7e8967b7e529
A3 openram_test 7576×1077615152, 0 3.0 MB0e337788930cd13f9a3be288926a9d64b628b7a713cdd33e6437f09ba42504cb
A4 zero_to_asic_course_group_submission_mpw3 7576×1077622728, 0 3.7 MBe765e7e1c2c66c364674ac440312a455099ee1599ed9e8b88587b067a60b49f2
A5 crypto_accelerator_v2 7576×1077630304, 0 4.8 MB48a238ace2d2e019fdd398cd5a0f035023c64cb45dfacd2aaf9ca010992cb019
A6 picorf0 7576×1077637880, 0 3.6 MBa8c802a6205276ff881bab5803035b1c92fbf7801e4e3f979f20a76849393c4f
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack 7576×107760, 10776 3.2 MB6429eefaf6ef990da483610a4f3c3b9d7e6f30751779f219c8665efb6edaa651
B2 yonga-100m_ethernet 7576×107767576, 10776 3.8 MBbaaf80787fe5774b3b2f6efe5074e64819c05333c62eec427dd0a1b49f48f5a4
B3 approximate_multiplier 7576×1077615152, 10776 3.0 MB1401a02118577ca15bd6e4481d5ce9fc1b0991cc8104713ca797bb2b84a8cf37
B4 vsd 7576×1077622728, 10776 2.9 MB825e7b9d612bb4006f1ea6843990f52c0193b5a68c526bf6fb599828ff08cd9b
B5 asic_key_value_store 7576×1077630304, 10776 3.0 MBf9f6aa05e6d181b99649c9ac9805e2da828b687f31ae425880d0c1cccdd990ad
B6 mbist_controller 7576×1077637880, 10776 4.1 MB636d09623542b97aeabf416879ec4a10e5edf176c9664dac8ad977c1a30504a0
B7 riscduino 7976×1077645456, 10776 5.2 MBb8c46a1415ccf416887f89d0c4f65b28977bf61905845b4d2c1a7a61d895bf58
C1 caravel_peripheral_extender 7576×107760, 21552 3.8 MB40ff49957ed4bee2a2985d6fd4521cb97d7789da2ef2f14480f34b40cf38eb9d
C2 ucsc_openram_test_chip_v2 7576×107767576, 21552 4.2 MB62163829a06b0d2978c5cd371d1ce30878d4c16cf59c62085b5ba20fa74e56cc
C3 class-d_audio_amplifier 7576×1077615152, 21552 3.0 MB6775c16824f09532eddd28bb219dfc2f21d8e2fa3436e088de51395fd07f9c38
C4 efabless_processor 7576×1077622728, 21552 3.0 MB94d80600e14511f5cf2572c6d5c7c7c1676f2c17dfbfe92891fd2e1866702830
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 tooltest 7576×1077637880, 21552 3.0 MB8622da05381e727c3a84f11e22298f8aacb40016a618b90f8362956d49b9d21e
C7 comparator_and_mixed_signal_test 7976×1077645456, 21552 2.8 MBa87dbc2b7a765da254a948f79151141b978d5aeceaa4a79a1daac63aaf3cb5f2
D1 current_starved_voltage_controlled_oscillator 7576×107760, 32328 2.8 MBa3db01e5aca78e08d77a955ad133cddc3eb117da6acafcf508283cfa5d9b85dc
D2 two_stage_cmos_operational_amplifier 7576×107767576, 32328 2.8 MB4a5b4bed60870d6fd5c37cc7959631446f0f52a909e7ede9f4902c07abe55416
D3 sziklai_pair_amplifier 7576×1077615152, 32328 2.8 MB921ee2c91935c512fed118e0c39b360b7151cc2e3682b74dd9d1daca002e547d
D4 two_stage_cmos_opamp_with_frequency_compensation 7576×1077622728, 32328 2.8 MBe7d9805146c0ecf358718e45805910e17644a72e8dbf2db9ccb6ec9dd5c8a262
D5 pre-trained_neural_network_for_mnist 7576×1077630304, 32328 4.3 MBda804dce197245df72b7a9339f4fed53c534763c9d69081163632c556cdbbd7e
D6 rotfpga 7576×1077637880, 32328 3.6 MB9f51e03e89515e715176ecc167100aacfd0bb6abd7f695c6d2257e9bd64b54ec
D7 treepram 7976×1077645456, 32328 7.5 MB77263b8b3a9d93bd7edd9e34d0f4ad6c5bda53f136f42d92e1542fbab9e76078
E1 treepram-red 7576×107760, 43104 9.0 MB23e8b4d184224bb5c1f4c0efdc34dbe5b457d4ba463f0aeb16742a5ddf967e1a
E2 caravel_jacaranda-8 7576×107767576, 43104 3.7 MB197b2aa06b22c612ffcf4032634fcbd890b4c7bcad9608faefa5a28edc170c76
E3 sudoku_accelerator 7576×1077615152, 43104 3.8 MB326aa00a02c65789e42d3ba9ff6227ba3461c445433e9992d29f3981d7aa95a5
E4 fixed2float_converter 7576×1077622728, 43104 3.0 MB04ef5281887d1686c2fd7e218a92d6a0d92da4c344a0a5b79c28b93fce318528
E5 high_speed_adder 7576×1077630304, 43104 2.9 MBe7f9dd73cc2ce0c6797faaa446842db0c3c0591fd8eaf3cec49011eb72c4efa6
E6 my_proj 7576×1077637880, 43104 3.0 MBe89b215df52b5bd237ea373e49747e24c76c8136d9db48cac3353fe972caf0c5
E7 pwm_test 7976×1077645456, 43104 3.1 MB236f4fdbadc6065d599c9ae78ee87c7df29e065ba52290bed53fdba6d83064d7
F1 elpis-light-mpw3 7576×111760, 53880 7.4 MB92fd14a748708ecb271019dbb37c6890b7986d96278f1c352b7b2a1abd6571fb
F2 vsdbabysoc 7576×111767576, 53880 3.6 MB968bcd3d62f3e35a5aa184c9fbb6f898a9baef0912c403f3c3aa1e99a5c289bd
F3 vsdmemsoc 7576×1117615152, 53880 4.0 MB6785f90c2a3e76ab94abe71bb571e196b83df193fd53a1b10db0ea5f034bda3b
F4 caravel_sram_test 7576×1117622728, 53880 3.0 MBd32f5f69bcd7e863f6cb39feaf8ac699016956f8df1f18f3b611692313d3d101
F5 8-bit_sar-adc_with_offset_calibration 7576×1117630304, 53880 2.8 MBb37f70b80c54810334bbaa0657fdaf460b5bfb5c457a243a75ea143324e4502b
F6 caravel_hyperram_driver_and_openram 7576×1117637880, 53880 3.0 MB77660e35f0400db4fe42b4e127aaf3af03d9cc9ac482803a542d1fc931eb51f1
F7 caravel 7976×1117645456, 53880 3.0 MBc137778f3811cfe67da920814b21319444083a248b543818493d6bfce2c09047

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 LICM1 on mpw-003

Resolved: reticle 5CS8008AC, run mpw-003, mask LICM1

Mask layer
LICM1 — Local Intr Cont.1
Process step
93 — Local interconnect contact mask
Drawn layer
66:44
Layer on the mask-layer GDS
43:0
Detail
LICM1 = licon1 sized (clicm1.3a/3b by spacing)
Also
Via 0 (???→M0)
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.