mpw-001 / NTM N-tip Implant

the NTM shapes of all of mpw-001

40 of 40 dies rendered.

658,042 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 (7.8 MB in total, largest 260.8 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_NTM_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_NTM_reticle.png
the stitched reticle, full resolution
5.7 MB 031a585c1ed43395ed2c5e0947e4569f5ea2adbaa6694059c5642e654a83f16508a38840 3cff00e14de9779a720d861f85d3c7f27b575caa17e34e5198a4b0724f92d0d4
mpw-001_NTM_reticle_overview.png
the same image scaled to fit 4096 px
626.7 kB 3b8480aae9b3d6cb645f301787f40cd45fe4ac1a8549b5beefc022db8e302553b9353909 91ddc8efb7ac91a49e6af9d30d3d3f7ac2e134e6e4843fd8f7254ef96d6b3732
mpw-001_NTM_tiles.json
where every tile belongs, and its checksum
13.3 kB 264ab8208c9cafaaa0f5abdc406108929950c0007a2a401b05fffd30f080b471d457c077 1fa4043a141f710fa701a686d63dd92095eba210c3e967ef870ad5e43b8fe8c4
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, 0 225.9 kBbf13d069d747fd79926ebe0ff83dcc0ebfedffa9f0f5d48c171bb856440141a7
A2 caravel_vdp_lite 7576×107767576, 0 171.8 kBcce3432a305cdb42742b6d5c178a52ad8ae0eb18f88016c0a89846ebe9b93124
A3 caravel-softshell 7576×1077615152, 0 177.8 kBb16cfc8fe3f6c73465fde3e448846804ba7bcd13fae6283e2ffd934c1129a5dc
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 197.3 kBefd7728f19f28cd3380ef29b48d05676e9bb39c7966423d99507d117f1eef31d
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 180.7 kBecaa8c659e0d55e65053f3c914645bef9d9612da4a15fd269ea27725187631fa
A6 caravel_spectrometer 7576×1077637880, 0 181.4 kB2dcda1666cd36149b8bea6bd59a103d8dc0d0056f3d9155d1cfc9b4fe7d35d27
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 182.3 kBc4a79aa05722c9325916c4ed7d1b772a8da44194234314998cef4321f0770241
B2 caravel-hs32core 7576×107767576, 10776 177.2 kBfe24a3e821f7f12ef7e3b0bbb621b1a79674179b0683b82f46d9e54f3fc29ef6
B3 caravel_astria_testchip 7576×1077615152, 10776 172.1 kB3a7c5040c05d5d98622580de87752e2b1dce8d3038afed5d313de8b1c6606803
B4 caravel_pyfive 7576×1077622728, 10776 175.6 kBfcac14fee243654b42cc97c9138e5703c2516e83b898e254bc3cec5543311a61
B5 caravel_fasoc 7576×1077630304, 10776 260.8 kBa8d3f74b5df0304e6809187d9985e02f613a2d6e908722e9bb64ca381e29dd85
B6 caravel-mph 7576×1077637880, 10776 176.4 kB17c018ddfa9168c7e67c31035463071520d9e2506a148294ae423263f9d3b6c4
B7 caravel_rapcores 7976×1077645456, 10776 173.4 kB775614c6c1f93d8aa3204bd454263d1245ff0704d8cb1ba15aaa5df362d927fa
C1 MorphleLogic 7576×107760, 21552 197.2 kBdb48b4cb7aefb9e90924b22ca031c109ccb8e2eb47699973b78754a628d4a2c5
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 170.1 kBe8e97957b684ba79c06361c61c9b82826b17bc090d801814f62a5f740dba1706
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 172.3 kB7bf8ad612d3646ae40cab0a27a56f1b304e2936961a2f6aef939de280f841cf7
C4 Caravel-SOFA-HD 7576×1077622728, 21552 180.9 kBcafe225d16d6ecd6bb52bd8954cac467e45109820463648ed0309ca675268fe4
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 186.3 kB4abb814683af3db69713f4baa91cbf6b78bf3a9661de0f35804129fc69afcd08
C7 caravel_fulgor_opamp 7976×1077645456, 21552 171.9 kB2ae1541510313b7cd972ef995316b05c665b30723e6e4c6e4530feb2dc549064
D1 q-rib 7576×107760, 32328 167.5 kB6ec8a1973221e15b04cfa3ea39cb37adbef27a59ed8412f182958d5cb589748b
D2 caravel_fwpayload 7576×107767576, 32328 171.8 kB783be49442f7b9f8a689987522ab6f30e9d663c7a61fd517f62dbf948e3a13bc
D3 caravel_OpenTDC 7576×1077615152, 32328 204.3 kBbc221c16d9eae01d3307fb157613325567aea46315e366ebb391301c7b2db6d0
D4 caravel_analog_rf 7576×1077622728, 32328 128.3 kB1cbfbf6823872a87bfa60e44d7ad2a247a80361e075c3a8096df635da02300c7
D5 Caravel_Fault_SPM 7576×1077630304, 32328 169.2 kBe6dd825520a65b3b0d68c28566ae0fd89b1d07cf5b7270e2a0bf7a95c2fc2d88
D6 caravel_skywater130_decr 7576×1077637880, 32328 182.9 kB06ba64beaa369cbf351b18c97af713502cb5d7c29b9038cbae40fade03e38b61
D7 microwatt-caravel 7976×1077645456, 32328 208.2 kBd39265efb5a5984d0560a6f9357c6cc61627b096c1a44b8ed8a2bf50bc0237d3
E1 caravel_mram 7576×107760, 43104 167.6 kB71b6139da791e509bfe3fac2ffd82d648ac0a378ade55dc428e6dee3b982cb78
E2 Caravel_EL2_SoC 7576×107767576, 43104 234.4 kB65360ae4a7c0f62f4b710c4f40fb6b69a1771b3dc6d5288d270941a639cd08df
E3 caravel_aes 7576×1077615152, 43104 177.2 kBded2aeffc39ce1d8c6aac99a9ead30624f64684a5d3d77892e3045ea83a39ca2
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 237.5 kBd31c05969c17468ce08503394a7119ae130adf1b8ced12a5017e9620eee3c416
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 255.9 kBd8fb254326de9d2d09519e4aa6aede0704133343d3ab912568f5c38d27b9f951
E6 Caravel_N5_SoC 7576×1077637880, 43104 255.5 kBfad93ba9c0034dd47c5605564e51db5e1ee4079198134a03b1c2f92b86dfc868
E7 caravel_linsorter 7976×1077645456, 43104 185.0 kBde4767305f7d5d21542d0cd8a5dc6a5290fd7bfe9b8fa244fe3fe602b3efda15
F1 caravel_fpga250 7576×111760, 53880 256.9 kB60ba49eb2f04006f2598172d19075376af50794131580dfcec0275e4f92fcfd5
F2 crypto-accelerator-build 7576×111767576, 53880 177.6 kB00c3afa0eec147495f503ee5944d59bd56c121fbe7b3f6241efa86265f8d9cba
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 194.0 kBb5bcaa09ef61d45a04abc715aea103b9a49d6dc28063e391741bd2833cd53fd7
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 172.1 kBdeae0d0876c3a9892ffbac3712f156c0c05fdccc033387058e95770d6c9c1568
F5 caravel_DSP48_DAC 7576×1117630304, 53880 173.7 kBe2efc1112ac6a25a93e234a60ef0e0da9921d1c989fc31431b2811324fb5a61a
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 195.8 kBa647f97f814e8d842e893187da10c656ade2c8f591c85a8e8f4748dedb96e7e3
F7 caravel_riscv_osu 7976×1117645456, 53880 189.0 kB3dcfa631d44856a4ce8fa513fda45d6c2a64f11bc6be4ee35f09e9361b33090b

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 NTM on mpw-001

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

Mask layer
NTM — N-tip Implant
Process step
64 — NTM mask(tip fomation)
Drawn layers
64:20, 75:20, 11:44
Derived from drawn layers as
64:20 OR 11:44 OR (75:20 NOT 81:2)
Layer on the mask-layer GDS
27:0
Detail
created over nwell, ldntm and hvi (outside areaid.ce; rpm too in some flows) (cntm 26:20 is the fab's precomputed layer, not drawn)
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.