mpw-001 / URPM Ultra-high resistor poly mask

the URPM shapes of all of mpw-001

40 of 40 dies rendered.

80 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 (4.4 MB in total, largest 110.9 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_URPM_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_URPM_reticle.png
the stitched reticle, full resolution
3.5 MB 80d8ff5b274238d8b4145375adaf36b6d273df7acad3b88f495414d21ca0445fbc731493 71fa2e625372931bab19149000e1a91900995a0f836082dfd400ffce13633af9
mpw-001_URPM_reticle_overview.png
the same image scaled to fit 4096 px
14.7 kB 76f19e7198ede01f37dab7ba028e27a093522585e8d9c07539957dd2851a687e38140cf0 e47c905281d882beb8aadfc8c2153717e727acf44aee15e937af953f7e5cd67c
mpw-001_URPM_tiles.json
where every tile belongs, and its checksum
13.4 kB 9f9f23ad993fd1ab197b7092af9e079975ac9519d4544b871e0ef3bc2240d6fb7d697414 31b896900701822d8a9d40887de3c24cf98fd218230891e1921ba23b7e9c163c
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, 0 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
A2 caravel_vdp_lite 7576×107767576, 0 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
A3 caravel-softshell 7576×1077615152, 0 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
A6 caravel_spectrometer 7576×1077637880, 0 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
B2 caravel-hs32core 7576×107767576, 10776 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
B3 caravel_astria_testchip 7576×1077615152, 10776 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
B4 caravel_pyfive 7576×1077622728, 10776 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
B5 caravel_fasoc 7576×1077630304, 10776 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
B6 caravel-mph 7576×1077637880, 10776 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
B7 caravel_rapcores 7976×1077645456, 10776 106.9 kB1ea2e623c99a7e647cbad34bb1ab1a8d6e67cfe2845dcef8ca0bb78253189654
C1 MorphleLogic 7576×107760, 21552 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 103.7 kB2773d8e591fc52f199f73f5d21048e3b3d69e0ef13bec385eac08ec571c5d46f
C4 Caravel-SOFA-HD 7576×1077622728, 21552 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
C7 caravel_fulgor_opamp 7976×1077645456, 21552 106.9 kB1ea2e623c99a7e647cbad34bb1ab1a8d6e67cfe2845dcef8ca0bb78253189654
D1 q-rib 7576×107760, 32328 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
D2 caravel_fwpayload 7576×107767576, 32328 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
D3 caravel_OpenTDC 7576×1077615152, 32328 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
D4 caravel_analog_rf 7576×1077622728, 32328 103.1 kB251c0fd06fe0b3d4835ffecff86135295f5ca8bc4088230c83cfdefeaf1dcd52
D5 Caravel_Fault_SPM 7576×1077630304, 32328 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
D6 caravel_skywater130_decr 7576×1077637880, 32328 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
D7 microwatt-caravel 7976×1077645456, 32328 106.9 kB1ea2e623c99a7e647cbad34bb1ab1a8d6e67cfe2845dcef8ca0bb78253189654
E1 caravel_mram 7576×107760, 43104 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
E2 Caravel_EL2_SoC 7576×107767576, 43104 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
E3 caravel_aes 7576×1077615152, 43104 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
E6 Caravel_N5_SoC 7576×1077637880, 43104 102.9 kBc74c6326866625628dccd48f509efdfe533ec7c9a093c77f34e8efa5a1ffd320
E7 caravel_linsorter 7976×1077645456, 43104 106.9 kB1ea2e623c99a7e647cbad34bb1ab1a8d6e67cfe2845dcef8ca0bb78253189654
F1 caravel_fpga250 7576×111760, 53880 106.7 kB9ded6d42a8df876f7737103f55abf7e4e49aeadcbeb7b813728139d01fb3eb3e
F2 crypto-accelerator-build 7576×111767576, 53880 106.7 kB9ded6d42a8df876f7737103f55abf7e4e49aeadcbeb7b813728139d01fb3eb3e
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 106.7 kB9ded6d42a8df876f7737103f55abf7e4e49aeadcbeb7b813728139d01fb3eb3e
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 107.3 kB670d11add3aaebb52cb86b443b25507de69e38a791e675ae9ec22284e3bf1b15
F5 caravel_DSP48_DAC 7576×1117630304, 53880 106.7 kB9ded6d42a8df876f7737103f55abf7e4e49aeadcbeb7b813728139d01fb3eb3e
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 106.7 kB9ded6d42a8df876f7737103f55abf7e4e49aeadcbeb7b813728139d01fb3eb3e
F7 caravel_riscv_osu 7976×1117645456, 53880 110.9 kB9e06b4872fc5c8c585fb56165102a9e9b139f22296c966e977b3442f5377cc6c

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 URPM on mpw-001

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

Mask layer
URPM — Ultra-high resistor poly mask
Process step
55 — Ultra-high resistor poly mask
Drawn layer
79:20

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.