mpw-001 / LVTNM Low Vt Nch*

the LVTNM shapes of all of mpw-001

40 of 40 dies rendered.

2,446,196 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 (7.5 MB in total, largest 322.6 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-001_LVTNM_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-001_LVTNM_reticle.png
the stitched reticle, full resolution
5.6 MB b16050fd9e06ec9c4b8d18211472287c24b3883d9009aa2997ddaac2c7e16fe0e908868d f82c733a3b9bfb704df290f6458a482549bd278cd0f36e049d850cb9071a24a5
mpw-001_LVTNM_reticle_overview.png
the same image scaled to fit 4096 px
477.9 kB 9c094a59b0afceb4ba5211e0d7c478b941eed9a20944db400389d44a97b1224552a4301e 26dd9f7d522391f65604f093368740dd90692f83efea35afb1609fc0a6178bba
mpw-001_LVTNM_tiles.json
where every tile belongs, and its checksum
13.4 kB 8a724a05d9fe20908afae4ae9ba8bfb31a143841a31f3e6e8c4c6fc60ff98273a7938346 98b5d30223c9947981f56dfe82a7014b72776fa3388c46a2b4d10644385bd395
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 Caravel_Plus 7576×107760, 0 214.4 kBc331c1af4fd1efeeb4018f830702f1d715845bbab1ca7ed04f7ce80bc6cd128c
A2 caravel_vdp_lite 7576×107767576, 0 163.0 kB4dbaf182d3d3a61a2605815faa3968d324de99d7537ba24e0d2e683b80658dd4
A3 caravel-softshell 7576×1077615152, 0 170.1 kB9370e61b40942676ec03266872a38b9c22886fffd7e18fadad35217ce8e5fa15
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 158.3 kBeb7100ff42288eb782499a276a555f725109d2a80ca11f662db78e40da8a3eef
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 170.4 kB60fefdc97e0a993338e350444631f06d5a4476a2de06c88f5ce45a6c2a54d67f
A6 caravel_spectrometer 7576×1077637880, 0 171.3 kB602f7b5d947eca418163e1b00538e5a88d194ba278c026973e441975dbeb5445
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 172.7 kBe9ca7de07275758075b6f2a46f25bbda3eba525e568124c25d5b472d6035fafb
B2 caravel-hs32core 7576×107767576, 10776 164.0 kB5a77915252616ab39bbda78deca25cf2ef31e7b3da06e05bdcdbd5567544daba
B3 caravel_astria_testchip 7576×1077615152, 10776 163.3 kBa84642adb59085cfccf2b8828049f138fa846ad4d96f44abe1e76e343b3c926f
B4 caravel_pyfive 7576×1077622728, 10776 160.6 kBd5b5d8d7a962f754f1faa84fa2663567d4eb429bf2e8aa0e64bf4ebe239fdaaf
B5 caravel_fasoc 7576×1077630304, 10776 322.6 kB1787de1da78256a030c867e246f0bc1ea5eeeb828812644efd1391fbaf4a251f
B6 caravel-mph 7576×1077637880, 10776 166.8 kBe1cb7bb24e68fbf4c3a24b81100ddbf98bbddac7bd56127bdb91324c8845bb14
B7 caravel_rapcores 7976×1077645456, 10776 164.3 kBa49b8bda5833b1fef1452e84c1033d8aaa3fd3a415d89aa95e5a418a8a83c1ae
C1 MorphleLogic 7576×107760, 21552 185.7 kB488f73a6c11127f5e5c399a0e275d9c808c1b832603182a4812cf48d369724f4
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 160.8 kBcfbd027f7c1042a8a9193ccdd8b4e9173dec5f2efab93267536ed391d1134eb7
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 164.5 kB493d0dcaa2079001e4a65b35b14f74c2209153ae4626f0ab0cfb9e29493665c0
C4 Caravel-SOFA-HD 7576×1077622728, 21552 170.0 kB44c92a5c7224e0832e663c4faabc99fa75091817e606f65c5b3e7a0ed3d83a79
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 176.5 kBb4db006411b924822f08ecc92119e8455a81d012af1737c60f83c8eded34ca8b
C7 caravel_fulgor_opamp 7976×1077645456, 21552 161.8 kBde3c528e3b3b34cd5a7458e2e86b4d59591c03c8657e7311ffbe3f6c470eccea
D1 q-rib 7576×107760, 32328 158.3 kB254dadb18fd2802f380a3f8e040d2f7f44500e52c3f4352bb8c3b29b30e804f5
D2 caravel_fwpayload 7576×107767576, 32328 162.5 kBc14f772eb4d7e279a43a3427279b57f5c6e8aeb8c76188c25141ab5da78427fe
D3 caravel_OpenTDC 7576×1077615152, 32328 217.6 kBbe2cb047c2ecdad61b710055fda8a0930f7fe145e01bcb5fd529d91e76b25334
D4 caravel_analog_rf 7576×1077622728, 32328 119.2 kB0543fe43ae408c9928263d1e525a32d1a84370b9de1a7ce9f8e804a60f692a5a
D5 Caravel_Fault_SPM 7576×1077630304, 32328 160.0 kBfaacd6be5ec8d8f4d5199440a593bf94a2d4d6e65102bc65ad17737eb28e65d9
D6 caravel_skywater130_decr 7576×1077637880, 32328 170.4 kB4c2f49b628f82bf54aff21314d0620da771299f1936b021a222aac0e55a717fa
D7 microwatt-caravel 7976×1077645456, 32328 198.3 kB1195e767bcca77b225cf37330d1cdd78b40929bfa54ff2cdffc2f4d2455dcb35
E1 caravel_mram 7576×107760, 43104 158.3 kBcdca84e65216b0f2ce4fe053f5a3e4738e1dc4aa4e84f2681d9d7a49230ce545
E2 Caravel_EL2_SoC 7576×107767576, 43104 227.7 kB665951238c794262c0ea4e7df9eb1cfdcaada9eaae05d4295c4aca43ccdfbc13
E3 caravel_aes 7576×1077615152, 43104 167.1 kB8dfde7e5be7e896076cb8cc0141a0fb8452cc732fa1eb5e8a945c0d852a0109c
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 228.7 kB9afb4829c1ea72a221dc931f5753768b11ab6c3624d8017f9cda2dd71509689b
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 249.3 kB2ce620a860b46ea175b8db37ed50a09894ada5e9cec02267583c2fbc2605da75
E6 Caravel_N5_SoC 7576×1077637880, 43104 244.8 kB0ed8969aad3558703282d42485ee8d59ecebdbea5789e6844b027bf7499a923b
E7 caravel_linsorter 7976×1077645456, 43104 175.1 kBc3fa6792bd773809ce50636e1460b6e016ff89f8be72cdf8b7f8a3c422f9399b
F1 caravel_fpga250 7576×111760, 53880 245.0 kB5181ce3e922ffc3253030ae3d58e1703c09a5ddb70562cf2623d8afb0c1dfcbd
F2 crypto-accelerator-build 7576×111767576, 53880 167.6 kB96cb1a0cade21db7ebc52089a4674e4793203fbb34a6e3a9bc77c272bf282882
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 183.0 kB9dcb9f00d1b062e2967ab240507a3519efe232c751da842512a9af6440bbe38c
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 163.6 kB72b6cd2f55a517cd95859c4ca6230a3b14ccc93f0dd53393121926b422261d6f
F5 caravel_DSP48_DAC 7576×1117630304, 53880 164.7 kB465f9735bd430a1fb888117bd3c488834e98b52840ad7531bd4656d710d995c8
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 184.8 kB0d716c9958f02b618b8e15f4dc176b34b79bb854b72508371bfb102480001438
F7 caravel_riscv_osu 7976×1117645456, 53880 179.1 kB95f9fc93d740632b1bed6ab0151022834af15eab2404ccb40bdc186b3643a524

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 LVTNM on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask LVTNM

Mask layer
LVTNM — Low Vt Nch*
Process step
14 — Low Vt NOMOS mask
Drawn layer
125:44
Derived from drawn layers as
125:44 OR (64:20 AND (78:44 OR 81:2))
Layer on the mask-layer GDS
25:0
Detail
drawn lvtn plus a created part [nwell AND (hvtp OR areaid.ce)] OR (LV nwell over varactors); only the drawn part is rendered
Used in SKY130
yes

mpw-001 — SKY130 MPW-1

Foundry product
MPW#1
Reticle set
7CS8M06AC
Run date
2020-11-12
Submissions closed
2020-11-30
Projects
37
Fab lot
4120787 — shipped 2022-02-17 to Tim Ansell; lot-owner list says 'Other'
Identification
likely — Lot records: lot 4120787 'MPW#1', shipped 2022-02-17 to Tim Ansell
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-1 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-001/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.