mpw-007 / VIMC Via 1 top, RRAM tier

the VIMC shapes of all of mpw-007

40 of 40 dies rendered, 34 with nothing on this mask.

76,864 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
C6 slot-018 tile
soomrv
(empty)
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 (4.4 MB in total, largest 125.8 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-007_VIMC_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-007_VIMC_reticle.png
the stitched reticle, full resolution
3.5 MB 92b4f51eaff9cbc89dee5c57debb38b93caf9e99cc2674326b6e77ee7900b140a5e8c952 059f1b67b36a287e78122e68e528cbb61d7c253cfba5ce3bd27f22418a38ba76
mpw-007_VIMC_reticle_overview.png
the same image scaled to fit 4096 px
14.4 kB 10a75d7fd0d686ae12dc9ab373b82c5f67e30d292895336d61e51b7b03f0241a776a533a 398192600480e32381f8880bfb292a5e9da308ceaf73e29305d916b20ae1b8bd
mpw-007_VIMC_tiles.json
where every tile belongs, and its checksum
13.5 kB b5b45dd7693c2bfcbff656ce76bd8a2f0fd8e9fed9f81f4e2103cc02565dcc27387c1e36 082fdc4b672bdc0042d37c601e4ef18fd91943f65bf63b6b945953dbe61e30ae
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 tinytapeout 7576×107760, 0 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
A2 zero_to_asic_course_group_submission_mpw7 7576×107767576, 0 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
A3 microwatt_mpw7 7576×1077615152, 0 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
A4 yonga-can_controller 7576×1077622728, 0 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
A5 rocketalpha 7576×1077630304, 0 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
A6 riscduino-dcore_d3_3 7576×1077637880, 0 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
A7 SkyWater test structures 7976×1077645456, 0 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
B1 riscduino-qcore_q2_3 7576×107760, 10776 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
B2 riscduino-score-s4-3 7576×107767576, 10776 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
B3 nanofabrication_project_using_openfasoc 7576×1077615152, 10776 103.2 kBa6ee9995cce836a8d4a070492b8fb5f2d99b3a0d6a0e2710f16736c487464748
B4 sramtestvehicleg3 7576×1077622728, 10776 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
B5 analog_frontend_for_particle_detection_resubm 7576×1077630304, 10776 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
B6 isa_16-bit_microprocessor 7576×1077637880, 10776 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
B7 reram_crossbar 7976×1077645456, 10776 111.5 kB94e1f34e1e0744e363eeb77b78fe06511ecccb84c69ae7c29cbed8df8d5e03d4
C1 trainable-nn 7576×107760, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C2 10b_adc_and_analog_support_-_update 7576×107767576, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C3 bitcoin_mining_asics 7576×1077615152, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C4 yonga-mcu 7576×1077622728, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C5 SkyWater test structures 7576×1077630304, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C6 soomrv 7576×1077637880, 21552 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
C7 marmot_risc-v_asic_for_motor_control 7976×1077645456, 21552 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
D1 mixed_signal_circuits-jun13 7576×107760, 32328 102.9 kB041f106965e8aeb8f9545cca46402afeec18c3b0a9c3980d23720779732136cd
D2 fpga_programming_management_unit 7576×107767576, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D3 warp-v 7576×1077615152, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D4 leaf__mpw7_ 7576×1077622728, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D5 in_memory_computing_sram 7576×1077630304, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D6 rng_based_on_a_figaro_oscillator 7576×1077637880, 32328 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
D7 reram-controller-mpw7_v2 7976×1077645456, 32328 125.8 kB928a6a4bf0ccb7a00467c7a4367b9062754de1a2b58a3d82b168a636da7c4198
E1 enhanced_chaotic_oscillator_design 7576×107760, 43104 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
E2 in_memory_computing_rram 7576×107767576, 43104 103.5 kB970ab7e5a64a2d31323fce5de3a4e8a245df72d4bca6f9a9f56825d7fef4919a
E3 rram_imc_v2_flat 7576×1077615152, 43104 103.5 kB970ab7e5a64a2d31323fce5de3a4e8a245df72d4bca6f9a9f56825d7fef4919a
E4 topmetalse-dps 7576×1077622728, 43104 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
E5 chaos_automaton 7576×1077630304, 43104 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
E6 hehecore_resubmission 7576×1077637880, 43104 102.7 kB404d2b68827b8f64404c8d26b19179b934888b57260a33a16e25162769e85650
E7 waveform_generator 7976×1077645456, 43104 106.8 kB56c5b78f9b86a53fdb64304acc12fba53d045b0526cc20ac1552594029f8a19a
F1 rift2core 7576×111760, 53880 106.5 kBe0080bf93247638505ac8cbca0ff50d5edfb396bd4199cc28c584a06ab77ed95
F2 rift2go_2300 7576×111767576, 53880 106.5 kBe0080bf93247638505ac8cbca0ff50d5edfb396bd4199cc28c584a06ab77ed95
F3 sloci_resubmission 7576×1117615152, 53880 106.5 kBe0080bf93247638505ac8cbca0ff50d5edfb396bd4199cc28c584a06ab77ed95
F4 systolic_array_matrix_multiplier 7576×1117622728, 53880 106.5 kBe0080bf93247638505ac8cbca0ff50d5edfb396bd4199cc28c584a06ab77ed95
F5 crypto_aes128 7576×1117630304, 53880 106.5 kBe0080bf93247638505ac8cbca0ff50d5edfb396bd4199cc28c584a06ab77ed95
F6 graphics_controller 7576×1117637880, 53880 106.5 kBe0080bf93247638505ac8cbca0ff50d5edfb396bd4199cc28c584a06ab77ed95
F7 prga-test 7976×1117645456, 53880 110.7 kB4819853e853378d6bf252c7d9d89c4caedfec9d3b73e01c973cd666bce8783c6

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 VIMC on mpw-007

Resolved: reticle 5CS8016AC, run mpw-007, mask VIMC

Mask layer
VIMC — Via 1 top, RRAM tier
Drawn layer
68:44
Derived from drawn layers as
68:44 AND 201:20
Detail
the second via1 mask of the sky130B RRAM tier (r1v). The RRAM splits via1 in two: the designer draws one 'via' shape, and mask generation separates it into via_bot (cviam = VIM) and via_top (r1v) wherever the via is enclosed by r1c. Rendered as via AND r1c. NOT CTM1/mcon, as once assumed: 8016/17/18 each carry a separate CTM1 plate (400), and 455 sits above MM1 (450) while mcon is below met1
Also
sky130B RRAM tier; r1v, the upper half of the split via1
Used in SKY130
no

mpw-007 — SKY130 MPW-7

Reticle set
5CS8016AC
Run date
2022-07-08
Submissions closed
2022-09-12
Projects
106
Identification
inferred — Sequence after 5CS8014AC=MPW-6 (8018 is the re-made MPW-4 set); packing list 2026-08-25
Shuttle page
archived copy of https://platform.efabless.com/shuttles/MPW-7 — the platform that hosted it is gone
Foundry data
third_party/shuttle/sky130/mpw-007/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.