mpw-001 / LVOM Low Voltage Oxide

the LVOM shapes of all of mpw-001

40 of 40 dies rendered.

1,184,281,274 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 (5.5 MB in total, largest 160.5 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_LVOM_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_LVOM_reticle.png
the stitched reticle, full resolution
4.1 MB 05a4c922a0c97302083435faac2d4d671a670f1d31aa47ef620a18776fa0e52915cb9fef c6f0d13abc70a307156eacc4ab90325be24b03acbc3cacee2f5526fd695c3ab5
mpw-001_LVOM_reticle_overview.png
the same image scaled to fit 4096 px
216.5 kB 6dfed4114ccf8a08ab5277c81a243a36395793dc0f2964d46b1526332a479d5c1786a25a 95461c8cc298548f94e4624545acf05271e31e12a93e6d201a95d6572e17f9f2
mpw-001_LVOM_tiles.json
where every tile belongs, and its checksum
13.4 kB d184dff4b4d96d0229466c70d05027d5689c5e4247194197cb83a5a35b7b6e42c6410bfe 9ef98a73861072221efdc3038cb832b83af68b474b13987e6732f26c5128b3a8
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, 0 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
A2 caravel_vdp_lite 7576×107767576, 0 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
A3 caravel-softshell 7576×1077615152, 0 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 129.9 kB02396ddceaaadaeebb8929b6eea3065449430645007feed81c3e7d620c8181e8
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
A6 caravel_spectrometer 7576×1077637880, 0 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
B2 caravel-hs32core 7576×107767576, 10776 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
B3 caravel_astria_testchip 7576×1077615152, 10776 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
B4 caravel_pyfive 7576×1077622728, 10776 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
B5 caravel_fasoc 7576×1077630304, 10776 160.5 kB3f51a3f12510724fc7261cbde2427068cf824ccff7847f671a68bf74e1977a59
B6 caravel-mph 7576×1077637880, 10776 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
B7 caravel_rapcores 7976×1077645456, 10776 133.6 kB64db848086bd4622332be8007bcecd53cc0dae1946812995551b6648f36ca29a
C1 MorphleLogic 7576×107760, 21552 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
C4 Caravel-SOFA-HD 7576×1077622728, 21552 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
C7 caravel_fulgor_opamp 7976×1077645456, 21552 133.6 kB64db848086bd4622332be8007bcecd53cc0dae1946812995551b6648f36ca29a
D1 q-rib 7576×107760, 32328 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
D2 caravel_fwpayload 7576×107767576, 32328 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
D3 caravel_OpenTDC 7576×1077615152, 32328 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
D4 caravel_analog_rf 7576×1077622728, 32328 118.2 kBda828b52ca8103df777b4260e15f5fd7a762a2d8aaf11d02b0870c8d913c0789
D5 Caravel_Fault_SPM 7576×1077630304, 32328 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
D6 caravel_skywater130_decr 7576×1077637880, 32328 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
D7 microwatt-caravel 7976×1077645456, 32328 133.6 kB64db848086bd4622332be8007bcecd53cc0dae1946812995551b6648f36ca29a
E1 caravel_mram 7576×107760, 43104 136.9 kBa33f2354b452f9bc154967ec56db390a1937aee7b2dbef0b0e31b55f264ce375
E2 Caravel_EL2_SoC 7576×107767576, 43104 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
E3 caravel_aes 7576×1077615152, 43104 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
E6 Caravel_N5_SoC 7576×1077637880, 43104 129.8 kBeb9b7d71101a5b5b390b1660e469745102823796f078581ead81fc5e9263a872
E7 caravel_linsorter 7976×1077645456, 43104 133.6 kB64db848086bd4622332be8007bcecd53cc0dae1946812995551b6648f36ca29a
F1 caravel_fpga250 7576×111760, 53880 133.7 kBd7f682a5bb56e2755e3cda66fab30ebd0ff0d403671cabb8aa939cfdf9c66ef7
F2 crypto-accelerator-build 7576×111767576, 53880 133.7 kBd7f682a5bb56e2755e3cda66fab30ebd0ff0d403671cabb8aa939cfdf9c66ef7
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 133.7 kBd7f682a5bb56e2755e3cda66fab30ebd0ff0d403671cabb8aa939cfdf9c66ef7
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 133.7 kBd7f682a5bb56e2755e3cda66fab30ebd0ff0d403671cabb8aa939cfdf9c66ef7
F5 caravel_DSP48_DAC 7576×1117630304, 53880 133.7 kBd7f682a5bb56e2755e3cda66fab30ebd0ff0d403671cabb8aa939cfdf9c66ef7
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 133.7 kBd7f682a5bb56e2755e3cda66fab30ebd0ff0d403671cabb8aa939cfdf9c66ef7
F7 caravel_riscv_osu 7976×1117645456, 53880 137.7 kBba491aa1eaab7c94647cccf8268f9db933cc5e8b7ee056c55eee8407b86b46a8

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 LVOM on mpw-001

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

Mask layer
LVOM — Low Voltage Oxide
Process step
44 — Low voltage oxide mask
Drawn layers
75:20, 80:20
Layer on the mask-layer GDS
46:0
Detail
LVOM = hvi OR tunm and the SKY130 layer sheet
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.