mpw-004 / HVTPM High Vt PCh*

the HVTPM shapes of all of mpw-004

40 of 40 dies rendered.

112,555 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 (6.6 MB in total, largest 269.2 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-004_HVTPM_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-004_HVTPM_reticle.png
the stitched reticle, full resolution
5.0 MB 531d3206ea884ffd64ca772c9a93fbf5306dc7db6c5a9e3e585d95c5d8cc4c77f7045c8b 54415e269f9b889c8ba1dc9984a70deb06f928482bc7c8c527c4715b65a87850
mpw-004_HVTPM_reticle_overview.png
the same image scaled to fit 4096 px
438.5 kB c9d527b7a42cea611c04e724328f115f2b727f9e4058faa58a3b74698200c2fa61855875 570f0a6f74d29c0e95cce6b30ae1bfc631b1b1fc021f7a84504e357ac7892647
mpw-004_HVTPM_tiles.json
where every tile belongs, and its checksum
13.4 kB 79a32994a18eaf61139c9d17ec1f765758d5522eb186a737813f8923d87afa3cce91ca1d 901756dd3de643fa8bd1bbbfd960c22ee65af4cb3cc1d6803597b470df3f9f02
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 zero_to_asic_course_group_submission_mpw4 7576×107760, 0 161.0 kB199a8f27a74bed1e83a6c74577cd0693c2ebff1f4d7ca4a66e4aa65d6e7ba8a5
A2 zero_to_asic_course_mpw2_re-run 7576×107767576, 0 153.0 kB8e4f9a0d938f06df32aa777da8a77971ced9e2920538b8d21fda7c36225e9b77
A3 cmos_only_self-biased_current_source 7576×1077615152, 0 141.6 kB87180068feca46aa8d27541636599ad451775cadb9d17a41ec78de179fa5c967
A4 pifive-soc 7576×1077622728, 0 146.4 kB696995d7d119942bacabaa3821d323fdd10301abae67d6059e3c0cb28d18ecd9
A5 ram_generator 7576×1077630304, 0 154.1 kBb1417da83d3efcd55f6adab30ece64e4c8cc6c53b0ebc5c5b2e54d14afc3aa9e
A6 space_controller 7576×1077637880, 0 144.7 kB887e3ba36a845772fdb41b63d23982f28df25c88041b776992416250d3df7401
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 randsack_b1 7576×107760, 10776 149.3 kBc4881200531d18ee4f583e0d7c1912149b0c46ef7a872fe8d7ef899178797444
B2 4t1r_testchip 7576×107767576, 10776 139.2 kB8dbd4c6856efdbc8b067a3564d71996564ef5e2261b08dc78584210502469eff
B3 yonga-turbo_encoder 7576×1077615152, 10776 145.4 kB95322dacd30dce37a4b5efb98560d646947f1e5b998cc968bcd6c65087b5d483
B4 icesoc 7576×1077622728, 10776 269.2 kB26b6b8bb0c66b8676a1e2449d724ff581db9b7f7320775f0c24354c6019fd212
B5 key_value_store 7576×1077630304, 10776 142.6 kBbe352bb76565574c293f22cfcc7b9aa3f7283d5d14d5f844a2701d2033bd23c5
B6 subservient-mpw4 7576×1077637880, 10776 145.9 kB1c782ae71cf2116c6d6c2dd540a9c73c444555cccb88d99e1c8b944ec6ca4d51
B7 logic_bist 7976×1077645456, 10776 200.1 kB7a88becad375b0ec6561527a230707bc93a037afeaba6191838e3b67fd9ae5b2
C1 riscduino-r1 7576×107760, 21552 171.4 kB152dbdf59f482faba744232156f3e73278e67ca89fee18c3f61cc45dba57d5c0
C2 template 7576×107767576, 21552 144.0 kBad3b8f85edfd4b71874f5fb528e8b7542537ad424eebc643195136b1e26f5da4
C3 vexriscv_soc 7576×1077615152, 21552 148.5 kB1346701fd1a88330fd91a5d3a0a2e6671b26d42009fb52797036fedab88a9d48
C4 ring_oscillator 7576×1077622728, 21552 139.4 kBd24bdba0d834a842998c9ca700752774020c850d7865dbaf9bfd53dc6f421d29
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 an_mssro-based_vcro 7576×1077637880, 21552 139.8 kB1bc93b6d03910b0c246f7645b0ca4abd5328483a380c3d99b52f6fd59e0b6f80
C7 approximate_multiplier 7976×1077645456, 21552 150.1 kB53a5d4ba5e7c0dd741c04c91dc2a8d54a0d320f0cf0abde77d9b73c2d1123b51
D1 icd_fast_nu_mpw4 7576×107760, 32328 140.8 kB935f3ace99168ba1dcb444bab2696a72fd15b403ac7e96af65983545e5c5c2c4
D2 rram_testchip 7576×107767576, 32328 180.0 kBc2e678c58f5e5bcf6a50c35abfa540d5f586d30ef26776eb260a8adb1818b473
D3 rest 7576×1077615152, 32328 187.4 kB670a6fe4c835f355131f763cfbfea28513291af90a67bcedd5b3907c986c0bc0
D4 fault_tolerant_16-bit_alu_design 7576×1077622728, 32328 142.3 kB5a84eab5d78d8af4271d8833aa59b58ad7f330bbf930abaa9c28076d13499bcb
D5 sky130_radtol_test_chip 7576×1077630304, 32328 178.6 kB0ab5cd4894c41f79c9511224ea4c230f60afc54b27e30df3196100adbdf706d1
D6 two_stage_cmos_opamp 7576×1077637880, 32328 139.3 kBa51691fd768146f1bf33186c405fb28871fe27f69c0e631bc2fddc640693d10a
D7 ks-guitar 7976×1077645456, 32328 153.3 kB451a5f867527571a2518d88ed52ed5caa87fb47769cb702c1a5df95f581e9cd1
E1 ks-guitar-2s 7576×107760, 43104 153.2 kB82c97e6daeabde4a5587eae069167dd4258f8d28443c53a2e6e7c0135815c3ee
E2 yifive_a2 7576×107767576, 43104 173.0 kBfb53a0d2d6c5226d325e02dffb0e8fb0d9186e10e09631e317d76aafba9dd8ae
E3 coriolis_test_soc_-_mpw4 7576×1077615152, 43104 144.5 kBb4a86d2cb33e27dc063303ccdf0f95275c003849e7473527c1461c894bb00aa0
E4 sar-adc_and_analog_circuits 7576×1077622728, 43104 141.3 kB8a04e09149d3bc29d21a1ac3fb749ca8f0614a02b42d49ddca2532e613bd5cdf
E5 junga_soc_mpw4 7576×1077630304, 43104 148.5 kB1346701fd1a88330fd91a5d3a0a2e6671b26d42009fb52797036fedab88a9d48
E6 ibtida-ii 7576×1077637880, 43104 151.2 kB7c0cce4fe65398399d0de1a9f9d75d80be8df002bb3d4f6fe77aa390d6cbe6ac
E7 azadi_ii 7976×1077645456, 43104 195.7 kBd52baa0df61dc17aa3ed2a74ff76db0b228af72d1cc2f90b0e10be1f3ea25681
F1 open_source_configurable_fpga_fabric 7576×111760, 53880 257.1 kBd04c29f15ff34238727f0b8a890c88740f31321615e4c544a4ce8df89e21faf7
F2 current_starved_vco 7576×111767576, 53880 143.2 kB4cb43cb585caa69d5d5af9f1fc2819b078fdddf4343524b3a040698968d6698b
F3 updown_counter__test_ 7576×1117615152, 53880 147.9 kB247fed17cef7c252d75779258998bee04c768c840842a33ac5cb11ad2545fa1f
F4 skullfet 7576×1117622728, 53880 143.2 kB11f22cd6377e25e45a4f9a9dabbd01c2ef04d7302837a16873a95a9be90f4454
F5 cmos_rail-to-rail_comparator 7576×1117630304, 53880 143.2 kB94f11e0c0370110bc4b50ce006414ba42a9906dd0da6797c11fc528629ddf775
F6 kasirga_k0 7576×1117637880, 53880 158.6 kB32908c647ec5aebdb42473de7e4a2dad251e275734ee38bb0596ff05c77a1d93
F7 iotestvehicle 7976×1117645456, 53880 149.0 kB7d34b2416519d3769883dd19ed3e7c857e4d3b9d938681274dbb2e6d33f2a7ac

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 HVTPM on mpw-004

Resolved: reticle 5CS8010AC, run mpw-004, mask HVTPM

Mask layer
HVTPM — High Vt PCh*
Process step
22 — High V P-channel implant mask
Drawn layer
64:20
Derived from drawn layers as
(64:20 NOT 75:20) NOT 125:44
Layer on the mask-layer GDS
97:0
Detail
created over (LV nwell = nwell NOT hvi) NOT lvtn, plus hvtp only where nwell overlaps a varactor; the fab algorithm says do NOT OR hvtp in. Rendered as nwell = a superset
Used in SKY130
yes

mpw-004 — SKY130 MPW-4 (original)

Foundry product
EF MPW#4 (+ 'With ReRAM' split lot)
Reticle set
5CS8010AC
Run date
2021-12-31
Submissions closed
2021-12-31
Projects
52
Fab lots
4216266
4216266
4216266
Identification
confirmed — Lot records: EF MPW#4, lot 4216266 = 'SKY130 MPW 4'; the set is absent from the 2026-08-25 return shipment (destroyed 2025-06) — see 5CS8018AC
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-4 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-004/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.