mpw-006 / LVOM Low Voltage Oxide

the LVOM shapes of all of mpw-006

40 of 40 dies rendered.

2,002,582 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 (5.5 MB in total, largest 140.0 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_LVOM_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_LVOM_reticle.png
the stitched reticle, full resolution
4.0 MB 79964bcdc8b01cbbd4e32725432c558c796967050a2d814be0aed09dac2542ca9b827e7b 0a6ac0c1af400eb0b2505662d362db68529f4cae59370ae36a0789882e9421d5
mpw-006_LVOM_reticle_overview.png
the same image scaled to fit 4096 px
210.7 kB 8877a71a99703aebc03911b24f92f001c0bd16bc33cc7886d7c0eaf601af890dcc5d27a7 704c60977839538d90e0d5bfeeb0d9f2a303fadc7f7f1b9a59fe3b1b938a7d9c
mpw-006_LVOM_tiles.json
where every tile belongs, and its checksum
13.6 kB ae164afaa16e77db07aa84ccf3c83606b6ae6f5e01f2ed41a0840543aba431a03aafdabd 462df19ad74a6faeb7a31fc5c28fb59f83ad57e5ba22de6ab97e508407769626
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, 0 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
A2 microwatt_mpw6 7576×107767576, 0 131.9 kB60a722bf68b55a937f2d33d092841dfd07483357173848d6ce9395fca612967a
A3 hack_soc_-_mpw-6 7576×1077615152, 0 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
A4 riscduino-dcore_d3_ 7576×1077622728, 0 131.7 kBe28b8353093c414822e78b6ce936b3fd6a91d2dbcd77c5540bdad1391a1b88ba
A5 riscduino-qcore_q2_ 7576×1077630304, 0 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
A6 riscduino-score-s4-2 7576×1077637880, 0 131.5 kB932e9f0f0906f947025ab412a91a5696d1a179dd6b4ab0755adf395ba15d6360
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 sonaronchip8 7576×107760, 10776 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
B2 ft8_receiver_test 7576×107767576, 10776 128.4 kBa65b18a03b9308e9141e387939bf0a9899a78b9ff6f5aed9d95e9d529d472578
B3 azadi_iii_dft 7576×1077615152, 10776 131.9 kB60a722bf68b55a937f2d33d092841dfd07483357173848d6ce9395fca612967a
B4 sramtestvehiclesequel 7576×1077622728, 10776 128.4 kB605e988482122075bb17ccc4bf5bdf5c56aa179e571b749636bf5329568deebc
B5 isa_16_bit_microprocessor 7576×1077630304, 10776 132.1 kB99a21864ffb99569081f3bd86cac5d0cdb1dc41378f4c8b2bae13178e66e7d88
B6 asicle-ro 7576×1077637880, 10776 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
B7 10b_adc_and_analog_support 7976×1077645456, 10776 132.0 kB067fd4bd4d8b54aad74a8ad06925e7716786bd06b56db7588d9f551b333ec5ed
C1 yonga-modbus_controller 7576×107760, 21552 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
C2 christmastreecontroller__mpw5_rerun_ 7576×107767576, 21552 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
C3 openram_test_design 7576×1077615152, 21552 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
C4 pwm__resubmission_from_mpw-5_ 7576×1077622728, 21552 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 hyperram_interface 7576×1077637880, 21552 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
C7 adaptive_cordic-based_32-point_dct 7976×1077645456, 21552 135.7 kB63d544acd3d99ebd7d6e499fc74bbecf8cbb9cfb01dd2ffe0240f9b0b14a881f
D1 cmos_cascode_dynamic_comparator 7576×107760, 32328 128.4 kB0bbf379fabb4491e059879933bde7dd45864e2325ec686189b75009ff93b7287
D2 cmos_high_speed_dynamic_comparator 7576×107767576, 32328 128.0 kBadf1868c4aee2de8a558bab00653178c3411a5ad9656c9f6641a2b928f628f40
D3 order_prga_mpw6 7576×1077615152, 32328 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
D4 temporal_runtime_monitoring_component 7576×1077622728, 32328 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
D5 large_memory_micro 7576×1077630304, 32328 132.1 kBa78c3aebf8136e25c111588f91c5361922f0725aa5380df4f5919ac86de21308
D6 rng_chaos_scroll 7576×1077637880, 32328 132.1 kB896dbd27cdb1b729ca5fff94b9089b4306a3673571f773b2997dfe3f21f75fbe
D7 mixed_signal_circuits_mpw6 7976×1077645456, 32328 132.2 kB775f6ca0b55b037624edcd00e7c63a4d9a00ebc3b8126baf5a663cbd808339b8
E1 mixed_signal_circuits_v2 7576×107760, 43104 128.5 kB2c0c616fdb2161b5f7f94bcac75b5f543b6ac03efe04d851a08a79ed8837562e
E2 direct_conversion_receiver_mpw6 7576×107767576, 43104 128.0 kB49121c4f6509e9aac3ba63a41edfe6cd8f5347c43471aad54deb7d4075269493
E3 floating_point_halfprecision 7576×1077615152, 43104 131.7 kBe28b8353093c414822e78b6ce936b3fd6a91d2dbcd77c5540bdad1391a1b88ba
E4 floating_point_unit_bfloat16 7576×1077622728, 43104 131.7 kB19e626b0188afdce4e5a253bbc622d19861e7ded7ab5096ca8d4c582295b36eb
E5 floating_point_unit_single_precision 7576×1077630304, 43104 131.9 kB60a722bf68b55a937f2d33d092841dfd07483357173848d6ce9395fca612967a
E6 experiar_soc 7576×1077637880, 43104 131.5 kB49ba167dbd208b1ded7f04637b0a7fb12ceb1e07250ffcce328e93ae781ba67c
E7 my_caravel_analog_project 7976×1077645456, 43104 132.3 kBc0804bbc9aab87e2b85ce28bd68d12572b14d01fe13dd3bbbb1f877872f77eaa
F1 efabless_mpw6_riscduino 7576×111760, 53880 136.0 kB57dffdb4d5c60dca8424249b33cc6b69f49afa3b30d04f945055bdf3f427028a
F2 motius_pong 7576×111767576, 53880 136.0 kBdc9ba7a683ea6e5cba0490b4df40b9bdd34a660989d4076621684a1100c562e0
F3 soc_now 7576×1117615152, 53880 135.6 kB3e15858764f0d9b891fee0153d8a573ef4110af74765d1e05730322063b08943
F4 ORDER_PRGA_MPW6_v2 7576×1117622728, 53880 136.0 kB57dffdb4d5c60dca8424249b33cc6b69f49afa3b30d04f945055bdf3f427028a
F5 optimised_strong_arm_latch 7576×1117630304, 53880 132.3 kB02a764a37c3bafd59b3323fd847e9c1d4bbe6189559cf4ebc5e68206a7288507
F6 riscduino_qcore_folk 7576×1117637880, 53880 136.0 kB57dffdb4d5c60dca8424249b33cc6b69f49afa3b30d04f945055bdf3f427028a
F7 tensor_calculation_using_nngen 7976×1117645456, 53880 140.0 kB02d4020cdcee99f3e64eac48ffe7a22b318fcdd7603f57f937d49141a37e3fe5

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 LVOM on mpw-006

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

Mask layer
LVOM — Low Voltage Oxide
Process step
44 — Low voltage oxide mask
Drawn layers
75:20, 80:20
Layer on the mask-layer GDS
46:0
Detail
LVOM = hvi OR tunm and the SKY130 layer sheet
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.