mpw-006 / MM1 Metal 1

the MM1 shapes of all of mpw-006

40 of 40 dies rendered.

665,431,305 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 (305.5 MB in total, largest 12.9 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-006_MM1_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_MM1_reticle.png
the stitched reticle, full resolution
155.7 MB 969c1f5e9b34a87d8a368dfdaa8c50a4c841a6e8e538aa45187031080c30b6de757c994a 1d24e4d7cbd0751c5b8a63de013edbe59b4932909d0f01f443d4b300f4f71cdb
mpw-006_MM1_reticle_overview.png
the same image scaled to fit 4096 px
5.0 MB bc3108a20afe7d2c3066dc7d425b821d5a1d98df63c845a829bbb5e6f19ad0008d79a201 ea3a1ec244ea287c702272896a7768103c7b137c3ea1a6ec8640e58fb76d484c
mpw-006_MM1_tiles.json
where every tile belongs, and its checksum
13.6 kB f477dc0b578213a7f2db77701e9e47c54ec12ca7f1006350a487bf7eeac031ca8c239a47 d4458d066ddba24b708a736d2af82f197cef76d32af1fbe415ac8eda69c77f86
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 6.1 MB1d18217905c8bfb51915febe6a4dcc20ac743f433bad50c8b262d6ad79c8594a
A2 microwatt_mpw6 7576×107767576, 0 12.9 MB91f74943da1e44e55fca234de44a79a3e190aa17959c08f8afd7ec51aec2d9d0
A3 hack_soc_-_mpw-6 7576×1077615152, 0 5.9 MBf87576e78cf498ca9537e352aa287e212d01170a96988d1b4799db5f040c89e7
A4 riscduino-dcore_d3_ 7576×1077622728, 0 10.9 MB075d5983284dd139216af22d34ed9a2fa6516deb7cd785733241415ff5579d77
A5 riscduino-qcore_q2_ 7576×1077630304, 0 12.5 MBeb22c3b084df08c8eda6a6869bace1cd1860f4bd13e073c414c59db7c11d197a
A6 riscduino-score-s4-2 7576×1077637880, 0 10.0 MBc45bbb65a965f1caf455454bd6b80c01837998abb62372ab5d349a4959077dd2
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 sonaronchip8 7576×107760, 10776 8.0 MBdcb141fc488e6acbb2615c77774872cb2d14b72f5f30f89d4de8060b91b0f5af
B2 ft8_receiver_test 7576×107767576, 10776 5.6 MB9822e9a85ef66115d5eca3367ca8ad86c0d98bdc63e236e8601ca71f9a5bf197
B3 azadi_iii_dft 7576×1077615152, 10776 9.3 MBb863b973f765325e77930013f39f79d0fc6c660f1e7ba3cbb2cb6d470b71d259
B4 sramtestvehiclesequel 7576×1077622728, 10776 5.9 MB1d0b91e22a27728491ba93903d1f0e479ae00c62536ed554c72306f603807e59
B5 isa_16_bit_microprocessor 7576×1077630304, 10776 6.8 MB301d84df55af8550a9bf6dd29ef152095c4cf4d6045a99fde608f4d01d7a4b6f
B6 asicle-ro 7576×1077637880, 10776 8.4 MBc0b3c5d322280c38a0a52dcb5c1c6b7de8017745ebb096c5e117c7e174a80338
B7 10b_adc_and_analog_support 7976×1077645456, 10776 5.6 MB8450869b97a3c8df648e40fd74872e687867aeb8de6a1fa670a14cd45926d75d
C1 yonga-modbus_controller 7576×107760, 21552 6.3 MB2b8c3f1b45390409997ee67bff8910cebc3a3e3b0129f2cd8621f775f0781403
C2 christmastreecontroller__mpw5_rerun_ 7576×107767576, 21552 6.3 MBae731532dfc3e82588dca17a45d9cd2ec961fc12279f2c0c570ce4e5c23179d0
C3 openram_test_design 7576×1077615152, 21552 6.6 MB22d48a8bf19e155e165b3ebde1a777a9640af32fe0ab876dad86045782aaf7a9
C4 pwm__resubmission_from_mpw-5_ 7576×1077622728, 21552 6.3 MB4dda210a8265379d9663182cac86d1780094351536605f0f383c3383eab1a3ee
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 hyperram_interface 7576×1077637880, 21552 6.0 MB0013fdde081d27f55c84d5ecbee3f3378ae300bc122bbec7bd54a94dd95ffef6
C7 adaptive_cordic-based_32-point_dct 7976×1077645456, 21552 6.9 MB3425a0e17640a15a28dceb90daaeb3fbe0b2ee726ec8603b93d5269bfe5e0b95
D1 cmos_cascode_dynamic_comparator 7576×107760, 32328 5.5 MBec15ecb05e316cbe6e79af1b472268af37dff74130d6f2b42bbb2266e98ff1d2
D2 cmos_high_speed_dynamic_comparator 7576×107767576, 32328 5.5 MBa3640db08524048c34f2dd27daf728ef31976b5283e57726ee62889d0eea3bcc
D3 order_prga_mpw6 7576×1077615152, 32328 11.8 MBe5da26d276c7ef37bf5ca6d1428f9eac32970b6cd42fe8e24701c597931ebee1
D4 temporal_runtime_monitoring_component 7576×1077622728, 32328 6.3 MBbd1d9a5f8b86030ab1a492d8c3fa2f09aa5d01e83179446207a1cd04afa7cf8f
D5 large_memory_micro 7576×1077630304, 32328 11.0 MB558ebe5d7af423366cd1cc29c7be363275240522ef0c605411f4a9dcd4483c7d
D6 rng_chaos_scroll 7576×1077637880, 32328 6.2 MB0fe9a28d834135dcbe458ab9f83878780916d8ebe5b87485034d6f11bc5ffeac
D7 mixed_signal_circuits_mpw6 7976×1077645456, 32328 5.6 MB7a87742efb6685e2f496f120ac003f2b98fcc183d76d02e512c089c94cb9711b
E1 mixed_signal_circuits_v2 7576×107760, 43104 5.5 MBfd3751b0ba807719c4fe31d33187d75a7bfc41e9e659ec2ad58796abd18939dc
E2 direct_conversion_receiver_mpw6 7576×107767576, 43104 5.5 MBea3c2fbe09de5d459f1c3e9fa54e9abcb3933f97255b6c175a2f39b328d5590b
E3 floating_point_halfprecision 7576×1077615152, 43104 6.5 MBb47995e694b1d5f193cc0e411927d9960deb2121eafd4aa1fea0a3b38e86f4f8
E4 floating_point_unit_bfloat16 7576×1077622728, 43104 6.5 MBeaec9be02ad4af31ed63f58076f258842e832d9a2dac840a2f7ae5d2b29dffcd
E5 floating_point_unit_single_precision 7576×1077630304, 43104 6.8 MBa170cb3b49e3a52220720e786b0cb12fed355f0d08a97bd5c3617da58810f9a6
E6 experiar_soc 7576×1077637880, 43104 10.0 MB75a14ceaff9481f8712de602b981fe27140a49a4ef6156b39003703df23d5c34
E7 my_caravel_analog_project 7976×1077645456, 43104 5.6 MB7e8a15639a9a00677cf53f75faa1b41a1ce8407f31878aa4d8bb75b6ec319aff
F1 efabless_mpw6_riscduino 7576×111760, 53880 12.9 MBc1d675b27888a9c8676a499f473191a59edcc803fc3e85449358b33c92af0252
F2 motius_pong 7576×111767576, 53880 5.8 MB63f4741102fc524bf496b9b4bb147a7d98310b0296789fc649954dd930bdaa85
F3 soc_now 7576×1117615152, 53880 6.5 MBfdd84cd1c5425fe60f43fed455334a64b7f72a9a0b7f11290ad4306369264bda
F4 ORDER_PRGA_MPW6_v2 7576×1117622728, 53880 11.8 MB7c899601d401f06f3b68a8f2029cd3dd021496b54fd0b58525ed3b8e2e5c3090
F5 optimised_strong_arm_latch 7576×1117630304, 53880 5.5 MB4ff37a2614eafe7b86d7202c563e9a9adb0002329f2783cadcc243eb34fc6f56
F6 riscduino_qcore_folk 7576×1117637880, 53880 12.1 MB3415a77ad61d85c3acb9096cf674bb3923da3601f0d1fcf91f61e2905cc766fb
F7 tensor_calculation_using_nngen 7976×1117645456, 53880 5.9 MBe04b91d1a5c8ef3c639bbe7a48965639c53cab81a6761dbe0af067b50e31f068

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 MM1 on mpw-006

Resolved: reticle 5CS8014AC, run mpw-006, mask MM1

Mask layer
MM1 — Metal 1
Process step
113 — Metal1 mask
Drawn layer
68:20
Layer on the mask-layer GDS
36:0
Fill layer
36:28
Also
Metal 1
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.