mpw-006 / PDM Pad (scribe protect)

the PDM shapes of all of mpw-006

40 of 40 dies rendered.

4,170 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 120.3 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-006_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-006_PDM_reticle.png
the stitched reticle, full resolution
3.7 MB 823d854b837476b629254cf55bc3dd4f0830dc7f8bb227795cf9378fd744538e8ab8a0f8 dc30e897f8d8519136291f5dcc8951f0428ce18117bf0cebfdfece9dcb93795f
mpw-006_PDM_reticle_overview.png
the same image scaled to fit 4096 px
68.3 kB e6c50db3885b1c8e8684c7083feb2e0c9e15ca5f47da95ca89528b586333873388ee6c92 49e340e6d7d5cc2217a735c75c0abf22da8a54d24158ae67811cb90f620b3f57
mpw-006_PDM_tiles.json
where every tile belongs, and its checksum
13.6 kB 97b9b337ce83cfdaf34b8d9c204277ac7e8750013b5213f49917f5b89a464c8cf1bfd893 484599850ab962d5059d88bed1f2844f356b44f667b2f349d0808fbf9aba858b
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 free_and_open_source_silicon_implementation_of_aes 7576×107760, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A2 microwatt_mpw6 7576×107767576, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A3 hack_soc_-_mpw-6 7576×1077615152, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A4 riscduino-dcore_d3_ 7576×1077622728, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A5 riscduino-qcore_q2_ 7576×1077630304, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A6 riscduino-score-s4-2 7576×1077637880, 0 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 sonaronchip8 7576×107760, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B2 ft8_receiver_test 7576×107767576, 10776 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
B3 azadi_iii_dft 7576×1077615152, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B4 sramtestvehiclesequel 7576×1077622728, 10776 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
B5 isa_16_bit_microprocessor 7576×1077630304, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B6 asicle-ro 7576×1077637880, 10776 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
B7 10b_adc_and_analog_support 7976×1077645456, 10776 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
C1 yonga-modbus_controller 7576×107760, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C2 christmastreecontroller__mpw5_rerun_ 7576×107767576, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C3 openram_test_design 7576×1077615152, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C4 pwm__resubmission_from_mpw-5_ 7576×1077622728, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 hyperram_interface 7576×1077637880, 21552 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
C7 adaptive_cordic-based_32-point_dct 7976×1077645456, 21552 116.3 kB0b6fc7317dd24588d7de08fcf82c35ec8f3362ec3dddf7d84d8d9d1ec2101a8a
D1 cmos_cascode_dynamic_comparator 7576×107760, 32328 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
D2 cmos_high_speed_dynamic_comparator 7576×107767576, 32328 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
D3 order_prga_mpw6 7576×1077615152, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D4 temporal_runtime_monitoring_component 7576×1077622728, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D5 large_memory_micro 7576×1077630304, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D6 rng_chaos_scroll 7576×1077637880, 32328 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
D7 mixed_signal_circuits_mpw6 7976×1077645456, 32328 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
E1 mixed_signal_circuits_v2 7576×107760, 43104 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
E2 direct_conversion_receiver_mpw6 7576×107767576, 43104 112.2 kBb6b1b59b7e20aa8249bc15b3302065eeea15899e2d361689a0258a0a22027ae4
E3 floating_point_halfprecision 7576×1077615152, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E4 floating_point_unit_bfloat16 7576×1077622728, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E5 floating_point_unit_single_precision 7576×1077630304, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E6 experiar_soc 7576×1077637880, 43104 112.4 kB8b3e83c7e04f25e37ce8731f3e507e85669fdbcd354dc0366c6cdf779748cd98
E7 my_caravel_analog_project 7976×1077645456, 43104 116.0 kB8511ad9b300cfe6515a8d884f050d1d00916a83b64539b1b7d01c4bb4b071768
F1 efabless_mpw6_riscduino 7576×111760, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F2 motius_pong 7576×111767576, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F3 soc_now 7576×1117615152, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F4 ORDER_PRGA_MPW6_v2 7576×1117622728, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F5 optimised_strong_arm_latch 7576×1117630304, 53880 116.0 kB39cc973b528f3895b0fe86d4de77f89d848fb1d8bb93f01d3de2afd566e2bddd
F6 riscduino_qcore_folk 7576×1117637880, 53880 116.2 kBd10962219cbe861e700172c53f7c02735c4bdafa504055669e433e36532e4e5d
F7 tensor_calculation_using_nngen 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-006

Resolved: reticle 5CS8014AC, run mpw-006, 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-006 — SKY130 MPW-6

Foundry product
EF MPW#6 (+ 'With ReRAM' split lot)
Reticle set
5CS8014AC
Run date
2022-04-11
Submissions closed
2022-06-08
Projects
85
Fab lot
Identification
confirmed — Lot records: EF MPW#6 ('Held pre-mask' in late 2022; MPW-6 taped out 2022-12)
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-6 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-006/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.