mpw-002 / PDM Pad (scribe protect)

the PDM shapes of all of mpw-002

40 of 40 dies rendered.

4,159 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 (4.7 MB in total, largest 120.0 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-002_PDM_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-002_PDM_reticle.png
the stitched reticle, full resolution
3.7 MB 4e8413b5a25c7d01eacd107a25dbcdf8a1e77efe8e656b99ed9d833ff93be473b0d306ad 8e3372a57f436cd9d4ba494cf4387728453aa7ff298c431fd10c92fbd1233947
mpw-002_PDM_reticle_overview.png
the same image scaled to fit 4096 px
68.7 kB 38e8a343073c0ff838f1233cf6e28a7ce48dc145b0b141419cf02f651a621452cf407915 4340d64e3cd346417b3ccb02ed36a20726172716a94350f6717397442e93e2f4
mpw-002_PDM_tiles.json
where every tile belongs, and its checksum
13.2 kB a2b7cf9f21ca77643c69c28988d0a3a54ad49b69696e8b9f28089f123c9cee07418ec48c 65229bae1626a140dfbc74a640f4b54c080723da6f0ae01369fa9daf0bb1235b
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 axi_dma_using_spinal 7576×107760, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A2 wishbone_can 7576×107767576, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A3 Analog-Neural-Network 7576×1077615152, 0 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
A4 caravel_dsp2 7576×1077622728, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A5 eFPGA_v3_caravel 7576×1077630304, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A6 opencryo_testchip 7576×1077637880, 0 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 yiFive 7576×107760, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B2 lexicon 7576×107767576, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B3 ucsc_openram_test_chip_v2 7576×1077615152, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B4 yonga-lz4_decoder 7576×1077622728, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B5 Potentiometric_Digit 7576×1077630304, 10776 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
B6 fuserisc_ver2 7576×1077637880, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B7 amsat_txrx_ic_mpw2 7976×1077645456, 10776 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
C1 Comparator_3v3 7576×107760, 21552 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
C2 caravel_multi_encode 7576×107767576, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C3 kasirgalabs_uart 7576×1077615152, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C4 Automatically_genera 7576×1077622728, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 uqab 7576×1077637880, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C7 caravel_azadi_soc 7976×1077645456, 21552 116.3 kB0b6fc7317dd24588d7de08fcf82c35ec8f3362ec3dddf7d84d8d9d1ec2101a8a
D1 caravel_dsc 7576×107760, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D2 SOFA-Plus-eFPGA 7576×107767576, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D3 caravel_user_project 7576×1077615152, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D4 General_Purpose_Band 7576×1077622728, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D5 zero_to_asic 7576×1077630304, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D6 fast_gcd_for_large_i 7576×1077637880, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D7 Columbus 7976×1077645456, 32328 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
E1 Space_shuttle 7576×107760, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E2 subservient 7576×107767576, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E3 caravel_analog_fulgor 7576×1077615152, 43104 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
E4 bandgap_reference_de 7576×1077622728, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E5 renml 7576×1077630304, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E6 io_expander 7576×1077637880, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E7 digital_pll 7976×1077645456, 43104 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
F1 zero_to_asic 7576×111760, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F2 caravel_fpu 7576×111767576, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F3 BrqRV_EB1 7576×1117615152, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F4 hilas 7576×1117622728, 53880 116.0 kB39cc973b528f3895b0fe86d4de77f89d848fb1d8bb93f01d3de2afd566e2bddd
F5 vlsi-sky130-analog-c 7576×1117630304, 53880 116.0 kB39cc973b528f3895b0fe86d4de77f89d848fb1d8bb93f01d3de2afd566e2bddd
F6 sha1_engine 7576×1117637880, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F7 caravan_openfasoc 7976×1117645456, 53880 120.0 kB13e6cae6482bffc7f51989c20fe9959be6392599589a83d7ea050302aeecd6f8

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 PDM on mpw-002

Resolved: reticle 5CS8007AC, run mpw-002, mask PDM

Mask layer
PDM — Pad (scribe protect)
Process step
168 — Pad mask
Drawn layer
76:20
Layer on the mask-layer GDS
37:0
Variants
Pad (scribe protect), Pad (scribe unprotect)
Detail
PDM = pad OR (cpmm AND areaid.mt) sized by cpdm.4
Used in SKY130
yes

mpw-002 — SKY130 MPW-2

Foundry product
EF MPW#2
Reticle set
5CS8007AC
Run date
2021-06-18
Submissions closed
2021-06-18
Projects
56
Fab lot
4205819
Identification
confirmed — Lot records: EF MPW#2, lot 4205819 = 'SKY130 MPW 2'
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-2 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-002/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.