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AUTO_MEMORIES: generated memory macros

Experimental. AUTO_MEMORIES detects memories in a design's RTL before synthesis and generates abstract .lib/.lef macro views for them, so an existing design gets macro-based synthesis and physical design results β€” including RTL-MP macro placement β€” without a memory compiler or hand-maintained fakeram files.

The intended audience is flows built on top of ORFS (for example bazel-orfs based in-house flows) that need early, reasonable physical results on designs whose memories exist only as behavioral RTL. Support posture: if it works for you, great; if it needs fixing, the report is itself a welcome signal that someone is using it.

What it does

With AUTO_MEMORIES=1, a pre-synthesis step runs scripts/memories/gen_memories.py over VERILOG_FILES and writes:

File Content
$(RESULTS_DIR)/memories.json Inventory of every detected memory: geometry, full pin list with pin functions, behavioral model, and whether it was converted (idiomatic) with a reason.
$(RESULTS_DIR)/memories/<m>.lib Generated Liberty view per converted memory.
$(RESULTS_DIR)/memories/<m>_pre_layout.lib Ideal-clock (zero clock-tree insertion) variant for pre-CTS consumers that select lib files themselves. The Makefile flow uses <m>.lib throughout.
$(RESULTS_DIR)/memories/<m>.lef Abstract LEF per converted memory.
$(RESULTS_DIR)/memories/blackboxes.txt Names of the converted modules β€” what synthesis blackboxes.

Synthesis (canonicalization) blackboxes the converted modules so the liberty view wins over their behavioral bodies; floorplan through final read the generated .lib/.lef alongside ADDITIONAL_LIBS/ ADDITIONAL_LEFS. Everything downstream keys off the files above β€” nothing else passes between the generator and the flow. That file-based handoff is what lets build systems (e.g. bazel-orfs) declare the generated artifacts as ordinary stage outputs and transitive dependencies of the remaining stages.

Memories that are not converted stay in the netlist and synthesize to flip-flops, like any other RTL.

How memories are detected

Detection is a fast Python scan (scripts/memories/detect.py) for modules whose entire port list follows the firtool (CIRCT) memory port convention: every port named <R|W|RW><n>_<function>, e.g. R0_addr, W0_en, RW0_wdata, including the subword-split forms RW0_wdata_3 / W0_mask_2. This is what Chisel/firtool emits for module-separated memories, and what the rocket-chip generation of Chisel emitted (the in-tree tinyRocket design).

Two consequences, documented as deliberate scope:

  • Module boundary only. A memory embedded inside a larger module (a bare reg [7:0] mem [0:255] next to other logic) is not detected. Yosys's memory-inference pass sees those; FPGA tools extract them into block RAMs. Wiring yosys up as the detector β€” or growing such a pass in OpenROAD SYN, which currently has no memory inference and therefore cannot be leaned on here either β€” is future work; this feature punts on it with the simple scanner.
  • No banking. Each detected memory maps to exactly one macro. A memory too wide, too deep, or too ported for a single sensible macro is not decomposed across several macros β€” a future extension.

The idiomatic gate

Not every detected memory should be a macro. scripts/memories/ idiomatic.py applies simple floors (minimum depth 16, minimum capacity 256 bits, at most 4 ports); memories below them are cheaper as flip-flops than as a macro paying the fixed control/decode/sense-amp floor. Rejected memories are kept in memories.json with "idiomatic": false and a reason.

To overrule the gate, list a .memories file in ADDITIONAL_MEMORIES:

{
  "version": 1,
  "memories": [
    {
      "name": "tag_array",
      "idiomatic": true,
      "reason": "forced: the RTL provides no behavioral fallback"
    }
  ]
}

Entries merge by name onto the detected set: fields the override carries win, everything else (geometry, pins) is kept from detection. A .memories entry naming a module the scanner never found is taken whole β€” it must then describe its pins itself. The designs/asap7/tinyRocket design demonstrates the forced-conversion case: its tag_array wrapper is 4 entries deep (rejected by the gate) but instantiates a module the sources never define, so flops are not an option and the design forces conversion.

Generated views

The .lib mirrors the structural shape OpenROAD's abstract writer produces for hardened blocks: bus() groups with per-bit pin() records (a bus without per-bit siblings makes yosys silently drop bit connections at parent instances), per-port clock pins with min/max_clock_tree_path arcs, setup/hold constraints on inputs, clock-to-out arcs on outputs, and internal_power() records under a power_lut_template so SAIF-driven power reporting is non-zero.

The .lef is an abstract following the conventions of the platform's fakeram abstracts: CLASS BLOCK, per-bit signal pin pads stacked along the macro edge, interleaved horizontal power/ground straps the platform's PDN macro grid connects to, and a full-footprint multi-layer OBS.

Timing and area come from simple parametric models (scripts/memories/liberty.py, scripts/memories/sram_area_model.py): log2(rows) decode depth and √bits bit-line scaling for timing; an area model anchored to published 7 nm SP-SRAM figures (Suzuki et al., ISSCC 2018). These are budgetary models β€” good enough to make floorplanning, placement, and timing behave representatively; not sign-off numbers.

Platform support

asap7 only. The emitters are split into general structure (liberty.py, lef.py, parameterized by a PdkParams) and platform constants (pdk_asap7.py: pins and power straps on M4 β€” where the platform's PDN macro grid connects β€” pin pad/pitch, strap geometry, OBS layers, nominal voltage). Generalizing to other PDKs means providing their PdkParams β€” the code seam exists, the calibration work does not. AUTO_MEMORIES=1 on any other platform fails with a clear error.

Trying it

# Unit tests (fast, no EDA tools):
bazelisk test //flow:memories_tests

# The demo design:
make DESIGN_CONFIG=designs/asap7/tinyRocket/config.mk synth floorplan

The generator can also be run standalone to inspect what it would do:

python3 flow/scripts/memories/gen_memories.py \
  --platform asap7 --out-dir /tmp/mems --json /tmp/memories.json \
  --verilog flow/designs/src/tinyRocket/freechips.rocketchip.system.TinyConfig.v

Consuming from bazel-orfs

Everything downstream keys off generated files, so a build system can declare them as ordinary stage outputs and transitive dependencies. In bazel-orfs each stage runs in a sandbox where only declared outputs survive, so it additionally needs to declare memories.json plus the memories/ directory (a directory artifact β€” the per-memory file names are only known at run time) as canonicalize outputs and stage them into every downstream stage's sandbox. The bazel-orfs change that does this is carried alongside this feature as flow/scripts/memories/bazel-orfs-auto-memories.patch, to be upstreamed to bazel-orfs once the feature lands here.

Variables