mpw-005 / PDM Pad (scribe protect)

the PDM shapes of all of mpw-005

40 of 40 dies rendered.

5,547 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 (4.8 MB in total, largest 120.3 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-005_PDM_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-005_PDM_reticle.png
the stitched reticle, full resolution
3.7 MB e390747a8129dafa842bc732e0b14443bf1bb30dfa2b27cd4f8bb0a4657733b5ad11de98 87b65e4a96a418ce2125ea0e523d570624ddfdc32e6ab649f2a1c2126c22ce31
mpw-005_PDM_reticle_overview.png
the same image scaled to fit 4096 px
89.4 kB ef9729bc456fc8aa7a5b62f0077922ee721919b5260e97cc64143ec48f9ccc62d5f43d33 52df1ac4b49d2deb68f3802c7623eba69c381a8b7e82c1eae23acc9a16ba1f59
mpw-005_PDM_tiles.json
where every tile belongs, and its checksum
13.5 kB 285ee04edc3a997432506384fa89106091a6530c95674e87f95206b7fc74c6b8d4a60b20 b3a17d83f9f28ae76e7cf62542795a7964397b937d9c6efb47e4910330001718
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 pll-based_capacitance-to-digital_converter_mpw4 7576×107760, 0 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
A2 mpw5_cache 7576×107767576, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A3 zero_to_asic_course_group_submission_mpw5 7576×1077615152, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A4 zero_to_asic_mpw2_rerun_on_mpw5 7576×1077622728, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A5 zero_to_asic_mpw3_rerun_on_mpw5 7576×1077630304, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A6 zero_to_asic_mpw4-rerun 7576×1077637880, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 actuatorcontroller 7576×107760, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B2 microwatt_mpw5 7576×107767576, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B3 armleo_gpio_mpw5 7576×1077615152, 10776 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
B4 fabulous_efpga 7576×1077622728, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B5 i2c_controller 7576×1077630304, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B6 lbist-mbist 7576×1077637880, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B7 riscduino-dual_core__rd0_ 7976×1077645456, 10776 116.3 kB0b6fc7317dd24588d7de08fcf82c35ec8f3362ec3dddf7d84d8d9d1ec2101a8a
C1 riscduino-qcore__q0_ 7576×107760, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C2 high_speed_vco 7576×107767576, 21552 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
C3 openfasoc-cryo-gen 7576×1077615152, 21552 117.5 kB1b611196cbb1caf182e8811a3b9fb76f3940a9f2d650c9fda523c73cab1ada55
C4 microwave_signal_generator 7576×1077622728, 21552 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 pico_design_resubmission_mpw5 7576×1077637880, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C7 ask_modulator_and_impedance_transformer 7976×1077645456, 21552 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
D1 baseband_inductorless_automatic_gain_control 7576×107760, 32328 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
D2 azadi_iii 7576×107767576, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D3 tia_for_physic_experiments 7576×1077615152, 32328 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
D4 qf105 7576×1077622728, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D5 coriolis_test_soc_-_mpw5_vexriscv 7576×1077630304, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D6 junga_soc_mpw5 7576×1077637880, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D7 nand_flash_mpw-5 7976×1077645456, 32328 116.3 kB0b6fc7317dd24588d7de08fcf82c35ec8f3362ec3dddf7d84d8d9d1ec2101a8a
E1 kasirga-c0-mpw-5 7576×107760, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E2 delta-sigma_audio_dac__mpw5_ 7576×107767576, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E3 wirelessenergyharvesting 7576×1077615152, 43104 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
E4 caravel_raster_engine 7576×1077622728, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E5 DDR3_SSTL_TEST 7576×1077630304, 43104 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
E6 accelerated_risc-v_cpus 7576×1077637880, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E7 alu 7976×1077645456, 43104 116.3 kB0b6fc7317dd24588d7de08fcf82c35ec8f3362ec3dddf7d84d8d9d1ec2101a8a
F1 4ft4 7576×111760, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F2 rng_chaos 7576×111767576, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F3 uetrv-ecore 7576×1117615152, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F4 systolic_array 7576×1117622728, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F5 reram_test 7576×1117630304, 53880 116.0 kB39cc973b528f3895b0fe86d4de77f89d848fb1d8bb93f01d3de2afd566e2bddd
F6 secure_memory 7576×1117637880, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F7 asynchronous_fibonacci_counter_testfix 7976×1117645456, 53880 120.3 kBf969326ccac88723beaad009063417ca0ebce161dbe2e02c20cc92fa4c1e36ff

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 PDM on mpw-005

Resolved: reticle 5CS8011AC, run mpw-005, mask PDM

Mask layer
PDM — Pad (scribe protect)
Process step
168 — Pad mask
Drawn layer
76:20
Layer on the mask-layer GDS
37:0
Variants
Pad (scribe protect), Pad (scribe unprotect)
Detail
PDM = pad OR (cpmm AND areaid.mt) sized by cpdm.4
Used in SKY130
yes

mpw-005 — SKY130 MPW-5

Foundry product
EF MPW#5 (+ 'With ReRAM' split lot)
Reticle set
5CS8011AC
Run date
2022-03-21
Submissions closed
2022-03-21
Projects
74
Fab lot
4229389
Identification
confirmed — Lot records: EF MPW#5, lot 4229389 = 'SKY130 MPW 5'
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-5 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-005/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.