mpw-008 / LICM1 Local Intr Cont.1

the LICM1 shapes of all of mpw-008

40 of 40 dies rendered.

446,201,325 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 (187.3 MB in total, largest 11.5 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-008_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-008_LICM1_reticle.png
the stitched reticle, full resolution
144.5 MB 38fdbd7b7371ad8a368964cf36d9ea37f53927994250f8c7134aadfdbf8bc58c8b28b023 bb7557a1bd46ca101c89df4d87c702a1f9c63f022f319e7ca17352952367a7db
mpw-008_LICM1_reticle_overview.png
the same image scaled to fit 4096 px
2.0 MB 7a9ca40e23c2a988a92c0d8910dca40f515d667128b9f2d2610a2ddc43d6053a1fce58f6 0001c8974580593dd0b420d7665f4fcfe8eed04cc69720a244a2019503722172
mpw-008_LICM1_tiles.json
where every tile belongs, and its checksum
13.6 kB 8de469a1aa24b48e5f0dc520d2b61531c719e58282f44aa76ece98d27b6a09d7154f25b4 9809cca6ff5c73c9e456edb41d2c6018449898c766e97648e3690ecfff3b885f
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 wishbone_pio 7576×107760, 0 4.8 MB82a04cc313cbbf89fc99f5e79ac8cf467835ba09a8fd8c8be243cf1cf789c542
A2 iit_indore_mm 7576×107767576, 0 3.5 MB547800b76cac11b01836c7d4474885105ff43f8d6e28a8432c0857c41dddf68f
A3 energy_efficient_sum-of-products_circuit 7576×1077615152, 0 3.4 MB13624dc189423d258c05ab1d51770232325209aa9ade36d4526b90c9a386c9f9
A4 riscduino-dcore_d4_ 7576×1077622728, 0 8.5 MB643ee9e345a68982379b8f3eaa09a0a0af4867f830e91c0b83e4f1030f6777ac
A5 riscduino-qcore_q3_ 7576×1077630304, 0 8.8 MBb7f6c3c9ab52b988c12ea694a226a04c54f28ee09cf8aa6956e6a575ae473bec
A6 caravel_mpw8 7576×1077637880, 0 3.5 MBf590fd40d76f4655bbfd01878e07976363eebe35b7168824ea75f7d6adde9e11
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 nanofabrication_project_using_openfasoc_mpw8 7576×107760, 10776 3.6 MB8581f4ce748a55b3586bd0132c44dfcef6e7af831d69e5acc6668872a1defc99
B2 sramtestvehicleg4 7576×107767576, 10776 3.3 MB3cf8fd881ad8d0740a431f029d83e3b7eb67f059cb7a96e3dab620aca18a010b
B3 reram_crossbar_rerun 7576×1077615152, 10776 3.7 MB934c9bd8f2b2ece4e78ed63545e38cfa07538bd166385624d2437b79e2a30a51
B4 tinytapeout_skullart 7576×1077622728, 10776 5.3 MBc70ec799153b66f9f278a537e7230e7900b953838be7491a85f0325c1e5c026e
B5 soomrv__mpw-8_ 7576×1077630304, 10776 11.5 MB5d888676ed38862144cb51b9eb028705a5ea87ae913ba79ea0c9d3eaefa142c9
B6 clock_divide_selector 7576×1077637880, 10776 3.3 MB6957912b4058328403dd39214ed7843f30a8abfe854a2203767b775baa1461c0
B7 reram_module_mpw8 7976×1077645456, 10776 3.4 MB77e47bc01af158d08f4cd4bf31ee9d29ff8cc847400013ddbcbc1f5643c226cb
C1 shapingthewaves_8 7576×107760, 21552 6.2 MB3d43d717a38835e8983d21e58d23cc30f2cadaf4bcbc14603ffd431c2ba6b15e
C2 leosoc 7576×107767576, 21552 5.0 MB1c26c5d862a9d60a06d7e04ca3fca9301e87388609a9612716255cf1536013fd
C3 decrypt_aes128 7576×1077615152, 21552 5.4 MB27f511612ee354b8530fd3cc0764d8925cb74b8b071f5fb2ebd1887cfddcff06
C4 approximate_adder_axha 7576×1077622728, 21552 3.4 MB3369531fc92e74b8b061a861a7410daac269cdc6e96b16f748becc79b2268d15
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 riscduino-pxt1 7576×1077637880, 21552 5.1 MB98e0fdf8e518cf303940cfa69de77b367a187f1eb906efef6c66e0528cf3d487
C7 fitbit_project_using_openfasoc 7976×1077645456, 21552 3.3 MB8177c8b10d462616718f8dc0ad197a5737a8f3e9f3feeadac7142d24f87cbae9
D1 rift2go_2320_sky130_mpw8 7576×107760, 32328 11.4 MB31a26887f3f94b93cbabae9080718375f77c58c9a566275c94d70762d927646f
D2 hyperram_controller_for_sky130 7576×107767576, 32328 3.4 MBe6f0d9aa911eb946593010e994186ec79929ebbea645d0c12757e7614d96ac6e
D3 hardened_alu 7576×1077615152, 32328 3.6 MB3fc549f830ed34971a33e40642265a773ac03ec0118035b90e912cff64597248
D4 an_open_source_hitachi_sh2_for_motor_control_apps 7576×1077622728, 32328 5.5 MB3d83e9a0e16cdb9c26f06539d5060087afad481e323ae0831a803d1502fb9856
D5 mixed_signal_circuits_mpw8_dec14 7576×1077630304, 32328 3.2 MBb8da3003779691b18319ec4e627865dd8a83586d38459c34ad00dbb2ddbce912
D6 gf180_vs_sky130 7576×1077637880, 32328 5.0 MB409f34999e8a8a5d76aad64f0c22e293abe123adec190bea28898420d7241224
D7 iiitb_tlc_mpw8 7976×1077645456, 32328 3.5 MBa2438b37f7a98427c593e595486ae3ee393c54bc90cd58c5e5e62b2442c2c936
E1 iiitb_sd_mpw8 7576×107760, 43104 3.5 MB2549ee7b46c64e3023fd17c6d79538c3102253dbde32d8e96ae93d9b3bda87f5
E2 iiitb_sfifo 7576×107767576, 43104 3.5 MB522e180afd2aa9511e6d6f65818cdc1186cee51c4715f80153031eaff2fa3488
E3 iiitb_alu 7576×1077615152, 43104 3.5 MBd167126622ac49d54fd4878eccacbd2e2f671a6dc68857fdd16177b01c9d4aad
E4 ppcpu2 7576×1077622728, 43104 8.3 MBf6522361f1c7bae5190079cd56159c6136834591b03d797d2572dd97b6ae0f74
E5 mega4_reram 7576×1077630304, 43104 4.2 MB9e0e5f94f53e78517b4efff3e612d45deb48852011727b5a04b89fa4f2245f8f
E6 tiny_user_project_vgaclock_mpw8 7576×1077637880, 43104 3.4 MBa8d328b1627e7f98442a27598f97f856cc51599abb683b9a48479cd5a883c320
E7 sky130cla 7976×1077645456, 43104 3.4 MBcc063529c4ae5290120e74a29809a6a52f893850859a81564d97366b9814bdec
F1 uetrv_esoc_v2 7576×111760, 53880 4.6 MBa23f23be49d76a7d19685f321129bfd3fc7dc8b063c6cbc1e69d295610499244
F2 sequencedetection1010 7576×111767576, 53880 3.4 MB52402c098abefc6ab7b40bdb8dc79d885bc20075a8f1a05060894bd3422f893c
F3 testasynctrimux-mpw8 7576×1117615152, 53880 3.4 MB3c04e5bb50a4cdfa2014e09769b055052f8e44dd4ff0d11816ecc74c5e1e5465
F4 iit_indore_dadda_multiplier_mpw8 7576×1117622728, 53880 3.4 MB120a15d44fba22a4090afcca3bb3e5142b1cf9d04bb3ad86191f986fe551e8d3
F5 modified_baugh_wooley_multiplier 7576×1117630304, 53880 3.5 MB685457005ffec4044f814f8fee6ba21113e20a77fcbdcf5509271d6790f8fb80
F6 arbiter_puf 7576×1117637880, 53880 3.4 MB352f4e4cc3368bac7e24ce6786ac0a8f76aeeb1869e54d57895245d92e3db797
F7 unigate-sky 7976×1117645456, 53880 4.9 MB84a12e04e54f12ce1ed92f21ca7adc3ccaac72868ff33fdec186a6954b9d9fee

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-008

Resolved: reticle 5CS8017AC, run mpw-008, 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-008 — SKY130 MPW-8

Reticle set
5CS8017AC
Run date
2022-11-19
Submissions closed
2022-12-31
Projects
144
Identification
inferred — Sequence after 8016=MPW-7 (8018 is the re-made MPW-4 set); packing list 2026-08-25
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-8 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-008/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.