mpw-001 / VIM4 Via4

the VIM4 shapes of all of mpw-001

40 of 40 dies rendered.

188,733,875 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 (29.3 MB in total, largest 1.1 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_VIM4_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_VIM4_reticle.png
the stitched reticle, full resolution
12.0 MB 94a9490ed88990876600564040640301211a38aae320095f6ed1d5d0bbec43814d3a8278 83328a1fc7e7b268c7f6d5d837aa61484c37a4a84dce1af87f487fcce139a2e2
mpw-001_VIM4_reticle_overview.png
the same image scaled to fit 4096 px
625.0 kB 37155a471faed0bae620980c7380c83a97dddd339b7c1a9ac5e031ae195b4577083c5399 ed8405070854b0461df4d7e06fd040c234dbf123421b09394c11f0e90917d610
mpw-001_VIM4_tiles.json
where every tile belongs, and its checksum
13.4 kB 4b0b4b475030831db4a918a4595cbee708b5b11ed02b46e48b848fa370e1b0b729d20804 e70e51605ae1bbdf593b0c0e13ea8beb489764ba1a989f3c233072b59f682315
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, 0 710.0 kB4d621755b0863a826b6acadc3f0689d5aa9041e238cecde1446bef2a7895585a
A2 caravel_vdp_lite 7576×107767576, 0 716.9 kB3f3908796c92f08741f2db10ac100d03824114cbbb0c824324fe586fdf9e6c09
A3 caravel-softshell 7576×1077615152, 0 706.6 kBf0e1010bfae0a43813db85a0e7ca07e6a2713ca7164f1be75dbd335d04ad4ea9
A4 caravel_UNCC_MPW_1 7576×1077622728, 0 696.4 kBdc0264892724eff5e87e23a10d003dad16d1020d0907b38ce27edaead96e57e2
A5 caravel_sha3_256_crypto_ 7576×1077630304, 0 697.3 kBfa999fda03c3b5614adaf4c0394eec4fdf98180f81ad5d8f7218a222d7721e5e
A6 caravel_spectrometer 7576×1077637880, 0 723.4 kB27c95fa618c81945b8c3e8f27f441dfae23c50b8c60d26ac2e060a298f97827d
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 caravel_ibtida_soc 7576×107760, 10776 693.5 kB9521ee3c470288a41412b176386e441df7aa392d9c3afe3f5984ae95d9f4d625
B2 caravel-hs32core 7576×107767576, 10776 715.7 kBc7bb93b9629c645a97e691eb1fb4e6f85e94d24b5fc7422dfb6075dda44e5d65
B3 caravel_astria_testchip 7576×1077615152, 10776 723.7 kB70c2760ac96b0bb3819786a4e302275c4da89f3b267af3dcb78520f983a67bf4
B4 caravel_pyfive 7576×1077622728, 10776 694.5 kBd0b1408691e84739d023a9b0d276868f81d98b8643a0c5fd69f7489121b57b0a
B5 caravel_fasoc 7576×1077630304, 10776 1.1 MBad82bd755fa97d68a3be6c463cfe3b7a34116624b1f687587b609509dbc9d2b1
B6 caravel-mph 7576×1077637880, 10776 718.3 kBdcda45280a84053dfde27f6d3b29e49ec79e69cf0237af5fa13710be6cea746d
B7 caravel_rapcores 7976×1077645456, 10776 703.9 kB5f261fa04e30f14d28ed004cbcc64b80b8f07f3d7cb73f0c44eedf0b017817d6
C1 MorphleLogic 7576×107760, 21552 767.3 kB6dfb02b3efbf2b0586118b477a67766d6d6c39ba65438ef860b7f74a6c66bd95
C2 caravel_RT-PseudoRNG 7576×107767576, 21552 720.0 kB3bb65cc78d961e8bef9ffd4e62c9535e638a38d943dee3d9be44eed2c9547cc6
C3 caravel_amsat_txrx_ic 7576×1077615152, 21552 700.0 kB49797bcfb32a72419d089500b83ce5d38d97f0a246ebb9612555c2f9d1d7a3ea
C4 Caravel-SOFA-HD 7576×1077622728, 21552 788.9 kBfaa940b3a01e8c73832a57d71c283501599978e1f0096a428b6e5d9499487eaa
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 caravel_Ghazi_SoC 7576×1077637880, 21552 691.8 kB504580eed0d7cacb90864e2471687e3772dd7a415d499d7196712ef4f0ec4011
C7 caravel_fulgor_opamp 7976×1077645456, 21552 724.2 kB0337ec1bdc0335abcbde52173ebdfe36f5ba34d98be454a31b5c635ae83bfad2
D1 q-rib 7576×107760, 32328 720.0 kB3bb65cc78d961e8bef9ffd4e62c9535e638a38d943dee3d9be44eed2c9547cc6
D2 caravel_fwpayload 7576×107767576, 32328 716.2 kBbc5972a5bdc4c6d48eabcd5a85bd792d718a89e612239635f0ba9a4a4ff3545e
D3 caravel_OpenTDC 7576×1077615152, 32328 702.6 kBf19c817cf917c37d6a954e533d49ea5107fd8b83c5fb34665c6764e839302eab
D4 caravel_analog_rf 7576×1077622728, 32328 569.2 kB5d16b661ff351f84f6b8f8db5e00fa67f8cf474cf2ee0c74693f89a2c7d03a2e
D5 Caravel_Fault_SPM 7576×1077630304, 32328 719.4 kB96ad1f9a861be4e07fef2af26ba7cc1965c41338584a8bc3449cf3d2cc3ce0cf
D6 caravel_skywater130_decr 7576×1077637880, 32328 733.8 kB69eda52a81f02c4aa742c1ee10dc2488cbf54280ce031f11441ed249bf226ee3
D7 microwatt-caravel 7976×1077645456, 32328 723.6 kBe1ec5c1a809402a7762648a34537711f07cb3fc33312aa42cf3d3a2371c824b1
E1 caravel_mram 7576×107760, 43104 699.7 kBb593b0512aa7d90c5e4cb1d198332532df31d7232db9a1595aa1fe2498999840
E2 Caravel_EL2_SoC 7576×107767576, 43104 695.6 kB35fd1550fbdd4882d29fa8b71055787089f4386d7d109bd3a2759b59f0218af6
E3 caravel_aes 7576×1077615152, 43104 709.2 kBf534da567f272b87aa9a5d0cf7025813998b5b3b2d66cd045ebe7ad0a6731057
E4 Caravel-OpenFPGA-EF 7576×1077622728, 43104 719.4 kB21fb727742fe2ceec87c22f70d9bf5b12291fb74f0908ef35b6d8fb833b033a8
E5 Caravel_Chameleon_SoC 7576×1077630304, 43104 696.5 kBa65132a14540c9c33014dd92077290d4efc37846b7facef236d733d05d832d60
E6 Caravel_N5_SoC 7576×1077637880, 43104 700.0 kB6fc5ffd97650014e166cea54027fcf1a20a01a5c832a666f682dc3fd64324f33
E7 caravel_linsorter 7976×1077645456, 43104 729.6 kB2b8f6642d0b9495af5a1deb96610c54e464706f9787b9d116dad71dfb7e4ff82
F1 caravel_fpga250 7576×111760, 53880 707.2 kB82316bf789b2a7d5b3c5a78fa6568bcf23699d3e1df4348cb507c6733906f1cf
F2 crypto-accelerator-build 7576×111767576, 53880 729.0 kBdb33b3529f27ff4a9eaa4bc339613a0bdc327bd78da94118c6cfad440a9c8767
F3 Caravel-QLSOFA-HD 7576×1117615152, 53880 784.0 kBa09ea09255a5d1e835a56e1a00954a31e8d8122fa15ad9d18994e9d77d9abc19
F4 G_Skywater130nm_1stTO 7576×1117622728, 53880 760.4 kB0b33c31f863ee12b748c5b3e3ca61edbc28af48600a011be96642963e87f201a
F5 caravel_DSP48_DAC 7576×1117630304, 53880 724.3 kB0aafb4c24b628579f307feab98e3241a10900051a55d8a6b3295a26e946f1042
F6 Caravel-SOFA-CHD 7576×1117637880, 53880 808.8 kB8b4c6c62d6b3caf4e0c0f2075de69c7d1d18d31588325cbe8305a7c89d1b74ee
F7 caravel_riscv_osu 7976×1117645456, 53880 734.1 kB05ebb2b51ef9a5fc5852a625d678c5f75fff70bd7fb622b9eb1be857e76f746c

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 VIM4 on mpw-001

Resolved: reticle 7CS8M06AC, run mpw-001, mask VIM4

Mask layer
VIM4 — Via4
Process step
159 — Via pad mask
Drawn layer
71:44
Layer on the mask-layer GDS
58:0
Also
Via 4 (M4→M5)
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.