mpw-001 / MM2 Metal 2

the MM2 shapes of all of mpw-001

40 of 40 dies rendered.

1,491,419,029 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 (582.6 MB in total, largest 21.4 MB), 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_MM2_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_MM2_reticle.png
the stitched reticle, full resolution
340.3 MB 38765e4cbef4a8a2615b20c7264989b386b88d5e9a68e00c9bcefe3ec0ae3233f125ff9c b5381188a8c249cf4cb798a08de2662d406aeed042330be1dcd13111f507a10d
mpw-001_MM2_reticle_overview.png
the same image scaled to fit 4096 px
6.5 MB 1e15c758696c4fac333f19df1713c647c09f71cef00a46e0ea4f866257a968dc2f9de6c2 39c5394209a71102225be6577cc8a438f30e64e5513ca65c8dafea289666f80f
mpw-001_MM2_tiles.json
where every tile belongs, and its checksum
13.4 kB 1ffdce5e7209f7f04ac52a7a2c0169ec21265f95387686867c0d86978c8872bdbed997ba 44c0e2597d8f57d8d1555a0a84873ce5a89adb3dff5eabe3eb309d1dcca4ad91
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 14.6 MB458797d53886e907e6ba4eb69bcaff328c5d93ac39f3f16cf0feca20bc06f733
A2 caravel_vdp_lite 7576×107767576, 0 13.0 MB9cd6e057fa8213b2fa97a8d9dd75993e13ee884e710998aa0f98211830c33f39
A3 caravel-softshell 7576×1077615152, 0 17.9 MBe26b674718ac8102de7e01ada50feb7caa0f8952b8e6a486656df725e0e867a7
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 8.7 MBd970ce86a9408841369ea606dd8805782a03d9dad05fa732e861463d162d10aa
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 18.3 MB53f9d4b6db42c6586374e00ec0fd97b1caffda1ad6f560033cbea2c9cf4062cb
A6 caravel_spectrometer 7576×1077637880, 0 19.5 MB2d8b69bca940f21897403e1d0173739a17818cde15d013a292c858282060117c
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 14.4 MBaf5db081a5c046f752980057a5f462c1119402d139356354038d0de7016b2d17
B2 caravel-hs32core 7576×107767576, 10776 13.0 MBa5691a53d912481dfa7d6855f9e882d5a7e3281b35019b8c778a614d2df514c4
B3 caravel_astria_testchip 7576×1077615152, 10776 15.2 MBb5d3a30dcf3d023b990909d060d267a4337c6ac8f8771b56f8732f281f4b9f66
B4 caravel_pyfive 7576×1077622728, 10776 11.3 MBd0ad3ac5d1bce167f6990fc2987b216a9a871b95289953b44998c50d8a7be159
B5 caravel_fasoc 7576×1077630304, 10776 13.6 MB14f625cae225a49f6b1b1cf7e03a3ce04951a1e8e872aef95a0aa17821551f71
B6 caravel-mph 7576×1077637880, 10776 13.4 MBbe9f3dbbf1ac81c14208c02c99c1cb028578521308c9a6d0653f5cac24a8f955
B7 caravel_rapcores 7976×1077645456, 10776 14.0 MB1d28547d2a1989d077d651444f2c09e75a1e1f6274c09ceab978fc88f0aaeff4
C1 MorphleLogic 7576×107760, 21552 13.5 MBb174249e9e9aff96f84b885031e4535f3f64bc225e4232861f1b5db04a329d7d
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 14.1 MB85c3156da1f2ab6c68521598c0bb2a86a477ac0b6ebf073d364e32e5159c25f5
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 8.6 MBbc19206ac7f355d0f9c5ade3079df539ef0bf23ba3fb814121596ab49a816149
C4 Caravel-SOFA-HD 7576×1077622728, 21552 19.2 MBc84064f933afdb37b30e89f90afc1e57c08be5f3bd92fc021c4171d7a681f53d
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 17.5 MB2ee090ba96c072a81fe916aaefa1c2a5391d49af14562023e6034444acb9a8f4
C7 caravel_fulgor_opamp 7976×1077645456, 21552 8.2 MBa6ee61d01a106c51af59a5297f0e02cdea90795740175ed18307603484f153b5
D1 q-rib 7576×107760, 32328 14.0 MB718d83377db22c519786e1c3625ce7878bd519bbbcde9104a7e43dd22e2f609a
D2 caravel_fwpayload 7576×107767576, 32328 14.9 MBf25f12cb39da09bc56a36f5704fcbd5c983d1eb8259073dad952070b0b589308
D3 caravel_OpenTDC 7576×1077615152, 32328 15.4 MB385c98ac87172a557abc17e3f65906d1902ebbefdd7aebdd5991975bef23db6d
D4 caravel_analog_rf 7576×1077622728, 32328 406.7 kB3a94aa8e9428609ac01edfa480e75213025cfb00374ac80fdbea265b978656cd
D5 Caravel_Fault_SPM 7576×1077630304, 32328 11.9 MB73cbb6fd31d2bb8dfaebc6e905cc286e13f04e2850090f9339af942110928c6d
D6 caravel_skywater130_decr 7576×1077637880, 32328 15.4 MB59c871d10d011255f530a037863f281bec05c5541940c121285b1bb1b519bad6
D7 microwatt-caravel 7976×1077645456, 32328 21.4 MBcaaf8c4b68ea05207f373485fd97efa5dd8f035322fe6ae382c06cc939488ee8
E1 caravel_mram 7576×107760, 43104 9.0 MBdeaf5a08a8184b47c8914ac7af789581347df7a279eb07ed79a05501d0b5ff96
E2 Caravel_EL2_SoC 7576×107767576, 43104 18.9 MB4d737213bca302d7bfbf8407a1a4668d5eee23a703b67c542b24c240bbe914a2
E3 caravel_aes 7576×1077615152, 43104 12.3 MB93dff5b606f318d89c3c5500f1b365f67687dc7c0be1e5d2b3a3a95eb9f3dba4
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 17.8 MBf8fb3353fd0c99e4deea0a5252671ab45d1ce7f47913e2835978eac5a5e896dc
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 17.9 MBeefbf1dd2b6a814b64d0f8808fcdda721c0333e83ff9db7fae216089c493024c
E6 Caravel_N5_SoC 7576×1077637880, 43104 19.6 MB05831c8fce63bd78de4e099ab804974e1b7eeb5c6e752fa1be411d1c0ea7e47c
E7 caravel_linsorter 7976×1077645456, 43104 18.2 MB9e7aa737b7f7eeacb6c22a8c6580e243e4e5357f05040bab4d37454a6a18449e
F1 caravel_fpga250 7576×111760, 53880 20.4 MB85c6526f3aa362bea6ddbcacf14eac0574912198265ec8cae675f958e36fa64a
F2 crypto-accelerator-build 7576×111767576, 53880 14.8 MB5a1a66ed8970df3c5325f09c0add4363a8c0f7eee6e78a3037aadf88019038a2
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 19.1 MB385ebf604a4d6b77926d778bb7f4862e3d4eab9c7a96a78a1b36c60214824257
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 8.0 MB7a53250cb4e368bbc953b32e59a3909ef2e4339dd6adfadad9d9cad0ee63b426
F5 caravel_DSP48_DAC 7576×1117630304, 53880 12.9 MBca384fd96224d55ce35f3c2f0d72503e38ebd2b64e961343eb26fb6adbe982e5
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 20.5 MB130bee912176a6727835a83523183a8e4b2a45359ace99301a172b0b2e7b7444
F7 caravel_riscv_osu 7976×1117645456, 53880 11.6 MBba190bd287be7869ebd0db3aa767ec84205b2aa189f011be9a7ca0dfd4351c98

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 MM2 on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask MM2

Mask layer
MM2 — Metal 2
Process step
124 — Metal mask2
Drawn layer
69:20
Layer on the mask-layer GDS
41:0
Fill layer
41:28
Also
Metal 2
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.