mpw-006 / NCM N-Core Implant

the NCM shapes of all of mpw-006

40 of 40 dies rendered.

115,413 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 (6.9 MB in total, largest 245.9 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_NCM_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_NCM_reticle.png
the stitched reticle, full resolution
5.2 MB afac9588587c37a1f027d24dc1577b0a8ef426b8bf6be84d572c0192a8b3da90a28694b1 649e8ccf3f2f6476f475d943d98af9dab6e02d4c751e0d7baf3b5bab75d45610
mpw-006_NCM_reticle_overview.png
the same image scaled to fit 4096 px
448.1 kB 50aa711d12d68f59108aa67357f7ff96993b904c06a86c707993cc49ae149c81a0590752 c5b6160f10238be4a87cc188e0f42cb22abd1578426fa2e29543dc58e1e45df3
mpw-006_NCM_tiles.json
where every tile belongs, and its checksum
13.6 kB 247d16835a10eea540ddfa3b8704b95e9f8dcc0028a69c192fdb99737a082bc7242c3aa4 58e8625f3e2b98f1ac0918ba4769bdc998df679660f8f18ea12443a608e05580
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, 0 150.5 kB181a4531fb23b13b096ebe8a5df3058ecde1b31cbfb765bf5c0f0900e7588e59
A2 microwatt_mpw6 7576×107767576, 0 186.6 kB01fd3725aeccab6df4a5d413649b4e12d6576dcc5b0220dc5706e30d4d7d0232
A3 hack_soc_-_mpw-6 7576×1077615152, 0 149.1 kB1e5d8ea6c5bc15d527e505e5e16ea3bff8be6fb4c12e84736a4e32e2667e391c
A4 riscduino-dcore_d3_ 7576×1077622728, 0 182.5 kBbbccf3ff3208c707f9bca40a5de5c71bdbcbda30467f1016d7065e599d2b4f6f
A5 riscduino-qcore_q2_ 7576×1077630304, 0 192.3 kBeb4c4e2ef68b8b4310008b3857dacbd96ff57788cf593ccf36ff862bfded7a51
A6 riscduino-score-s4-2 7576×1077637880, 0 180.6 kBef0660de45f62599172a05ab48e0715eafddb699c19a9fb53a9c7aa3d2e3f2aa
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 sonaronchip8 7576×107760, 10776 159.2 kBdb1a413359e024cd3fe5deea7d9632e29b27cda67b400caa38712e12a7e3e658
B2 ft8_receiver_test 7576×107767576, 10776 145.4 kBa84e96022aa10926868f88ec8a65a61cb80beba14d6eba3f7ea594b840af1b4e
B3 azadi_iii_dft 7576×1077615152, 10776 244.0 kB3ab3b42e23fb04c317cf9f3a49bd7975a8c98b0d090984dfdc74c7574880469b
B4 sramtestvehiclesequel 7576×1077622728, 10776 153.2 kB3902eb214911c5e9062d642ce9ad3cace9eb790bd59453be0f26fbdde4994b34
B5 isa_16_bit_microprocessor 7576×1077630304, 10776 158.2 kB53e12010eac614543deeeb74b0c4fbe1d7f08f55568e5bd2c06259c9fb85bd6c
B6 asicle-ro 7576×1077637880, 10776 152.9 kBabbd5ad8876b3396367525596b96223de1d4a39feea1b8e8169443fa2c343ae6
B7 10b_adc_and_analog_support 7976×1077645456, 10776 153.5 kB0e8955e65b065b92a134a76ee11a7b9faa357c4cff475c59912515329f8d8ee7
C1 yonga-modbus_controller 7576×107760, 21552 151.5 kB3d58b767dd3b2f9f888e1aad48de02a868667251db6f7706a23ec5a0f60de358
C2 christmastreecontroller__mpw5_rerun_ 7576×107767576, 21552 153.2 kB3403ddf1d5fe161a859405388a164018b5d14e90c97536f59518dccc6607fc5f
C3 openram_test_design 7576×1077615152, 21552 174.9 kB6b8655506cbfb9f57e56d86ff72bb7363fee93b3a2ba639d3b98ff47f5c78375
C4 pwm__resubmission_from_mpw-5_ 7576×1077622728, 21552 151.6 kB17e4a9d05a6c865e2d9cdc58c64d57af1bf827b18093f203292fa131cf93c1c5
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 hyperram_interface 7576×1077637880, 21552 152.5 kB50ed838853b9674a61b57edb9df63f36f1ee25b318e72112512a7615088ae697
C7 adaptive_cordic-based_32-point_dct 7976×1077645456, 21552 155.5 kB8f723ef5625f2f3f5d0b510a6853085389e2f5d73c2a06c39c9245bffe5b3b13
D1 cmos_cascode_dynamic_comparator 7576×107760, 32328 145.0 kBcf27e8420b8175cc5ed7f78c2fe327a4773243f03d196ce425648e25cbc52ac1
D2 cmos_high_speed_dynamic_comparator 7576×107767576, 32328 145.0 kBdceffc45324ffb90352f2a3969c94f43244bda5105c5f55b146ad783bbc1400a
D3 order_prga_mpw6 7576×1077615152, 32328 242.0 kB5663fc0675d877fdc7b8ca50f4397e87aaa36db1bf6dc73c0112cce378880b16
D4 temporal_runtime_monitoring_component 7576×1077622728, 32328 152.9 kB803b046099a47a31d42a05519d82e4576336c4235a27abdcc97afb246323024d
D5 large_memory_micro 7576×1077630304, 32328 174.9 kB04011e04ef4a918fe44433920999e31a91d7ceeebd752d03a46ef211a017491a
D6 rng_chaos_scroll 7576×1077637880, 32328 153.3 kBe0c303b5bea23faee807d76c4ea0995af2c42364092328ad87ffeb8c45b260e1
D7 mixed_signal_circuits_mpw6 7976×1077645456, 32328 148.8 kB98c43125e139092c2e5395396c19b95337fc5b516611eae0e2cb93f398ab0adb
E1 mixed_signal_circuits_v2 7576×107760, 43104 144.8 kBab1c1121ae40e2b65b527ceec4de2448b52c787720e9d62af1a44d8659d545d0
E2 direct_conversion_receiver_mpw6 7576×107767576, 43104 144.6 kB62f6cae0cfad82b8aaee261d822b00782ea13664ed1c3020996b0a81700f646d
E3 floating_point_halfprecision 7576×1077615152, 43104 153.6 kB00cce45dac9213bae6b1d9e737f8001984c4148af54709328f9d3048f814da3d
E4 floating_point_unit_bfloat16 7576×1077622728, 43104 152.7 kBb7b6dda3a6ce718864717db75b35aa61e40535f5c99c81b4cc40608445d34926
E5 floating_point_unit_single_precision 7576×1077630304, 43104 153.0 kB25cc22cd12d16f880c9663e3220dd6ece3a1cae794c8de347b99d338234521f4
E6 experiar_soc 7576×1077637880, 43104 188.0 kBc8546b528972937fe5329250f618b7208eb11cad2e58fad32a3d4e4482d6d00c
E7 my_caravel_analog_project 7976×1077645456, 43104 149.1 kB1469983b9a39746efe9fac2a25421a6ac93b356e33a240ee49b9d42f798fd612
F1 efabless_mpw6_riscduino 7576×111760, 53880 210.3 kBa2f8b5a5141fc60d2c87a6e3599b94463f9f1c0c7fb13d3dcbfec09628bea321
F2 motius_pong 7576×111767576, 53880 153.6 kB2996e1418366e61e4b95e5e506bf1455b1eb0ff7e9bcd8c266672936fa40fe14
F3 soc_now 7576×1117615152, 53880 160.7 kB94911d2888f5f35b419ddf3af5f9da01ee56047679c5dfe40db945a8b1f4bd48
F4 ORDER_PRGA_MPW6_v2 7576×1117622728, 53880 245.9 kB3f08d521b30072424b18ddad6f5064f74a8409600cce7fe5d30ea5ce776ba10b
F5 optimised_strong_arm_latch 7576×1117630304, 53880 148.9 kB1c79029860dff5afa66c78dfd24e24d38e4a55346d1f391d8ae07aba66431ef1
F6 riscduino_qcore_folk 7576×1117637880, 53880 193.8 kB38f86d92c2a3fe33ed3557d64d93469dd51c584b22967ad407670be4e9f8cc7a
F7 tensor_calculation_using_nngen 7976×1117645456, 53880 157.5 kBf25d149d0b8862bc3158b3555c9a09b754a7f8d49e47ccff20b4fdf0e2a7be34

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 NCM on mpw-006

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

Mask layer
NCM — N-Core Implant
Drawn layer
92:44
Derived from drawn layers as
92:44 OR ((64:20 NOT 75:20) NOT 125:44)
Layer on the mask-layer GDS
17:0
Detail
drawn ncm in the core plus a created periphery part like HVTPM; only the drawn part is rendered
Used in SKY130
no

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.