mpw-006 / NTM N-tip Implant

the NTM shapes of all of mpw-006

40 of 40 dies rendered.

121,456 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 (7.8 MB in total, largest 270.7 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_NTM_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_NTM_reticle.png
the stitched reticle, full resolution
5.6 MB a6bdda7ea7f23fae572d0c9bd6787fdb78e259f81c63d4ac247c5fa9b095fe57e3c83c48 397befee5274b0ca80c94b0d9865514acff180f08345fc4e826e6e0b1ea1445c
mpw-006_NTM_reticle_overview.png
the same image scaled to fit 4096 px
566.4 kB ae95479fa33640072c827503c6072e1b7c9459a4e0d0f582ee49082f8ff9d54ce2b724c2 0c80c351bd4a3e61adf4f6e336e5fbaf71839a34d6f592bdd806636b794e02e9
mpw-006_NTM_tiles.json
where every tile belongs, and its checksum
13.6 kB e59d54da1e858e1fb1ec7b82ffa567a7cc9e6c88009820aded997dacb2bf4c9705859072 185ebfb7f394aeb2b44d96dd9e22eeb31281374b5d333d73632a3cf9bf69d3ab
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, 0 174.9 kB0c3f0560a8060e626ccc8508e8ff632259f79ee2e2a2c0d813fe86ffd3c40f05
A2 microwatt_mpw6 7576×107767576, 0 211.2 kBc1b4a89419cb8f1b73928c1e44300672987c8c6eaceea53994c4fd8f82361533
A3 hack_soc_-_mpw-6 7576×1077615152, 0 173.4 kB4928c7a43879a5ffcd063343912d9fa8cb1ebd17bf9691a9581488c0573a569a
A4 riscduino-dcore_d3_ 7576×1077622728, 0 206.9 kBf302bdfe095695b7b806657a7bd1c0f1d6cb2a91d517bb02ff37bd4f5c0ea3a7
A5 riscduino-qcore_q2_ 7576×1077630304, 0 216.5 kB9df25af455aae37aa7ba42f924ce34d003515770754f9fd973b93ff7bde7fb28
A6 riscduino-score-s4-2 7576×1077637880, 0 204.9 kB4e4e8ba6c28f4e87acbfd59117875cdf940e06d72d847f75d49aea56cd04bf60
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 sonaronchip8 7576×107760, 10776 183.5 kB908c231d4dbba2a14d9445d35822c9a41789991eaa43fbb23351d8429adfb6bf
B2 ft8_receiver_test 7576×107767576, 10776 166.4 kB48e4408076f78fcff55e22ba5cb286d0dbf47f74854f2482834dc18899ec20d0
B3 azadi_iii_dft 7576×1077615152, 10776 268.5 kBd1fb7c525f6c3b036e1b91b344f543fb37f0967fcb406ccac514cd5b72783a25
B4 sramtestvehiclesequel 7576×1077622728, 10776 174.3 kB8f52cc77d8c61dfa376053bcb4597ad48ec55e8242e6602d777a363891cf9413
B5 isa_16_bit_microprocessor 7576×1077630304, 10776 182.4 kB0b72a9cd3d195452a28cc70df247a5272ee87770794198e90f62ba4e09131d73
B6 asicle-ro 7576×1077637880, 10776 177.4 kBbb554dc53a8bfa2de6135c21af3e89254b80c6cd3d88ffe9bb203b8d8459a2eb
B7 10b_adc_and_analog_support 7976×1077645456, 10776 172.0 kBe0e9539de5e65b9bee3bacb239c65552b651e7426338abed7f79787dd63b7ce1
C1 yonga-modbus_controller 7576×107760, 21552 175.9 kB25025f0d3674ccad9d3e65e2c9c71b51a95612e676049ef49a9cae58f0c9e3c8
C2 christmastreecontroller__mpw5_rerun_ 7576×107767576, 21552 177.6 kB50831c9943bf2ed6f340f677ba050c66e49bfeec9ac83764e383c7747dd712d6
C3 openram_test_design 7576×1077615152, 21552 199.2 kB44fba95f69c8bfd64593513f4b5090d426307abf48b965fc5cde969879c69c71
C4 pwm__resubmission_from_mpw-5_ 7576×1077622728, 21552 176.1 kB3368ba8b6bda2cd5290eb2b312107b7bea8b033a089297c3eb1ee156b01e896a
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 hyperram_interface 7576×1077637880, 21552 176.8 kB0736ffe0120ea53fabae47f42c0ce979e669678cde12d456707333d7a737f806
C7 adaptive_cordic-based_32-point_dct 7976×1077645456, 21552 179.8 kBb32f449948c6478442d4ed00b20b1b60d41ba7f7e931af674f6fd21b9c330bdb
D1 cmos_cascode_dynamic_comparator 7576×107760, 32328 166.1 kBfb248f3b642d548a177a6124e7406e56f8626297c1f72a5a83c10a5b24cf4eae
D2 cmos_high_speed_dynamic_comparator 7576×107767576, 32328 166.0 kB37fe04697352b20d93ac6d8243564e5a7093dd908b020bfc50ae3d960f48b785
D3 order_prga_mpw6 7576×1077615152, 32328 266.7 kB4ffeaf16d8f93588bd239f56387ae98398065b7ec50a5c4a4e74e71af1c099e1
D4 temporal_runtime_monitoring_component 7576×1077622728, 32328 177.1 kB2fc0a461c303eee09f079ecdea6f9fcf07d4953c1f5e9a49e3a52fd285948650
D5 large_memory_micro 7576×1077630304, 32328 198.9 kBbb7d8ff4543c603a1d8cf4fc59cdf03af77e82eb02486eedec718b7297d785ac
D6 rng_chaos_scroll 7576×1077637880, 32328 177.7 kB5ccdb928fe4f88e143fe125de795d2ef481fd214198ce15a17da2a33d9d7c2d9
D7 mixed_signal_circuits_mpw6 7976×1077645456, 32328 170.3 kBe473af998ff41c3b4f2d30a90e974a6f0552a083bd350af302bd474d314878e3
E1 mixed_signal_circuits_v2 7576×107760, 43104 166.0 kB158ac9374d168b82fdf659c92f6cdd1f1c24613ebf4da689d8ab027a5ae6a944
E2 direct_conversion_receiver_mpw6 7576×107767576, 43104 165.7 kB18b4c7a594a9854d330b8d92f2377b807a789e96149e749e7a0bfe1316eea812
E3 floating_point_halfprecision 7576×1077615152, 43104 177.9 kB0938701bf03f013fc494ae9f7b4e62d10e226580ec69eb624aa7e3ae2ea9d17d
E4 floating_point_unit_bfloat16 7576×1077622728, 43104 176.9 kB517f58a230c4d6ea63041a2895ac370fbd0672ed30970249b783842c6b0844e4
E5 floating_point_unit_single_precision 7576×1077630304, 43104 177.4 kB4a73037a30b48ce120a01e44f8f195a529410c347452fd6702fa258f39d39c05
E6 experiar_soc 7576×1077637880, 43104 212.1 kBe86c10bf536e2e95fb5ef640ce2d05fc24642cf756fc192ff6956e6c752733dc
E7 my_caravel_analog_project 7976×1077645456, 43104 170.3 kBefee731d1f11700349eadbb30eea34fdd6e92cf2d82b8f4021186984a53541f4
F1 efabless_mpw6_riscduino 7576×111760, 53880 234.6 kBd104ff3e41a3e9acb46742c7bc984a4cf4f50101e67659542195e37170b43b37
F2 motius_pong 7576×111767576, 53880 177.9 kBb76440807c5bf4f44bf467f28440d5d99aebe72702475743f361060ef91a37b3
F3 soc_now 7576×1117615152, 53880 185.0 kB86fb9f23bdb04500a84ba087ab5e2be8e22100384a4cc3ebba1a09f3e7d14624
F4 ORDER_PRGA_MPW6_v2 7576×1117622728, 53880 270.7 kB45c31df4bbe6e8641021622a206ab78cb4aab0935235bb5b9ffef06efea9a73e
F5 optimised_strong_arm_latch 7576×1117630304, 53880 170.0 kBfb214d525d2b3cc3cb115e2320a24304f68f6af9cf5dbcc46f2f404581f1cb5f
F6 riscduino_qcore_folk 7576×1117637880, 53880 218.0 kBea5d0efcd0c3b159888279b2b6fe903c4c2d3dc746ff8bcfe264597b55aa7aad
F7 tensor_calculation_using_nngen 7976×1117645456, 53880 181.9 kBb3c63cde61afc16467f5adbe8c503d1f10a103eeb2536ad63c2be68fcce89780

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 NTM on mpw-006

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

Mask layer
NTM — N-tip Implant
Process step
64 — NTM mask(tip fomation)
Drawn layers
64:20, 75:20, 11:44
Derived from drawn layers as
64:20 OR 11:44 OR (75:20 NOT 81:2)
Layer on the mask-layer GDS
27:0
Detail
created over nwell, ldntm and hvi (outside areaid.ce; rpm too in some flows) (cntm 26:20 is the fab's precomputed layer, not drawn)
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.