mpw-001 / DNM Deep N-Well

the DNM shapes of all of mpw-001

40 of 40 dies rendered.

2,800,265 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 120.1 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_DNM_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_DNM_reticle.png
the stitched reticle, full resolution
3.7 MB 77c1138bdbbcf70df51814736b331d2fd3956ee13cf9a57ab287d2a553c311ca9bd6a4f0 18f49e4c27dfb10a013c923926d406dfae5b3871951850ecf8db8653e7685125
mpw-001_DNM_reticle_overview.png
the same image scaled to fit 4096 px
182.8 kB 6d11c7462317b181c72cc2539cb0f7d59722a25f5272c853b128934e0fdd995ee9ca395f a74f138f92e94e49a258a007d4bf806dcb21e0b7b418ea0ec670899971b184f5
mpw-001_DNM_tiles.json
where every tile belongs, and its checksum
13.3 kB 4fde262c80d7d589b625e437ed1ab9c0b6dce70825ee146544f516e4c0aaf92182f2fb32 0f6c81798e7cc2d37e9eddd4b365c887908d2770802b8b4fbe0e0db0082eb549
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, 0 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
A2 caravel_vdp_lite 7576×107767576, 0 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
A3 caravel-softshell 7576×1077615152, 0 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 112.1 kBd64880cd154f838840b7b5efe3a1053b0a4504901392cf0c13bd61855638b58f
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
A6 caravel_spectrometer 7576×1077637880, 0 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
B2 caravel-hs32core 7576×107767576, 10776 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
B3 caravel_astria_testchip 7576×1077615152, 10776 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
B4 caravel_pyfive 7576×1077622728, 10776 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
B5 caravel_fasoc 7576×1077630304, 10776 119.4 kBfccf14f580e459ac08522c8af6a35da518d1ff8985258e72015ed1153bf2d374
B6 caravel-mph 7576×1077637880, 10776 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
B7 caravel_rapcores 7976×1077645456, 10776 116.1 kB58c1a738f32102f458ed45e11198ac9ebace8b2101abc41802f52126322f2536
C1 MorphleLogic 7576×107760, 21552 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 112.8 kB9efc3c3339657ae8ce32431065ad0cb5b456f12d6e0a51cfc287cb7ed63789ef
C4 Caravel-SOFA-HD 7576×1077622728, 21552 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
C7 caravel_fulgor_opamp 7976×1077645456, 21552 116.1 kB58c1a738f32102f458ed45e11198ac9ebace8b2101abc41802f52126322f2536
D1 q-rib 7576×107760, 32328 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
D2 caravel_fwpayload 7576×107767576, 32328 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
D3 caravel_OpenTDC 7576×1077615152, 32328 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
D4 caravel_analog_rf 7576×1077622728, 32328 108.5 kB5a6c2c763d97a1cc5e2318880a277685dc9b80cade964a38acb6cb36cc823297
D5 Caravel_Fault_SPM 7576×1077630304, 32328 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
D6 caravel_skywater130_decr 7576×1077637880, 32328 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
D7 microwatt-caravel 7976×1077645456, 32328 116.1 kB58c1a738f32102f458ed45e11198ac9ebace8b2101abc41802f52126322f2536
E1 caravel_mram 7576×107760, 43104 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
E2 Caravel_EL2_SoC 7576×107767576, 43104 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
E3 caravel_aes 7576×1077615152, 43104 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
E6 Caravel_N5_SoC 7576×1077637880, 43104 112.1 kBdd7e9e4a94f15019e7c417fe4c9ad4bf8c9cc93da8ec72cbdd4f742491028a6c
E7 caravel_linsorter 7976×1077645456, 43104 116.1 kB58c1a738f32102f458ed45e11198ac9ebace8b2101abc41802f52126322f2536
F1 caravel_fpga250 7576×111760, 53880 115.9 kB32af3b0b1ac77225258dac31e6155ebf0a5302dbd41b97b8bb174195b2332fad
F2 crypto-accelerator-build 7576×111767576, 53880 115.9 kB32af3b0b1ac77225258dac31e6155ebf0a5302dbd41b97b8bb174195b2332fad
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 115.9 kB32af3b0b1ac77225258dac31e6155ebf0a5302dbd41b97b8bb174195b2332fad
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 115.9 kB32af3b0b1ac77225258dac31e6155ebf0a5302dbd41b97b8bb174195b2332fad
F5 caravel_DSP48_DAC 7576×1117630304, 53880 115.9 kB32af3b0b1ac77225258dac31e6155ebf0a5302dbd41b97b8bb174195b2332fad
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 115.9 kB32af3b0b1ac77225258dac31e6155ebf0a5302dbd41b97b8bb174195b2332fad
F7 caravel_riscv_osu 7976×1117645456, 53880 120.1 kB7859581b2d7041480eafdcc6563dfa4dcbcb7f2f5ad4e0ca41f4ca89cb377749

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 DNM on mpw-001

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

Mask layer
DNM — Deep N-Well
Process step
7 — Deep N-well mask
Drawn layer
64:18
Layer on the mask-layer GDS
48:0
Detail
DNM = dnwell sized by cdnm.3
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.