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perf(v2): word-level burst reads - 2.24-2.37x real wall-clock speedup (DEC-0015)

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Implements optimization #1 from the final benchmark campaign's own
recommendation: exploit psram_controller.v's already-implemented
page-mode support (confirmed present by direct inspection) by
fetching multiple bytes per real backend transaction instead of one
at a time.

Root cause addressed: int8_memory_access.v (the byte-level backend
prefetch_engine.v originally sat on) already converts every 8-bit
logical request into a full 16-bit PSRAM word access internally
(mem_addr <= addr >> 1), discarding half of every word it already
paid for. prefetch_engine.v/memory_manager.v now speak
memory_interface.v's own 16-bit word protocol directly, bypassing
int8_memory_access.v entirely - which remains untouched, still frozen
V1 (§1/§34); V2 simply reuses the lower layer of the same frozen
chain instead of the byte-splitting layer on top of it, the same
"reuse what fits" precedent slot_mem_arbiter.v already set.
slot_mem_arbiter.v and neural_multiprocessor.v widened to match
(lb_n/ub_n added, master port wired directly to memory_interface.v).

Real, measured results: M4's own single-job testbench shows 49-56%
fewer cycles (166->84, 446->204, 728->322, all still bit-exact). The
full final-benchmark campaign (24/24 workload/config combinations)
re-verified bit-exact with D-Stress's real wall-clock time (cycles /
real POST-P&R Fmax) improving 2.24-2.37x across every N_SLOTS tested,
against a small real Fmax cost (unchanged at N=1, -6.2% at N=2, -1.2%
at N=4).

tb_neural_multiprocessor.v (M8) and tb_benchmark_suite.v (final
campaign) needed zero changes - both treat neural_multiprocessor.v as
a black box. Only tb_memory_manager.v (M4, rewired to skip
int8_memory_access.v) and tb_dataflow_core.v (M7, behavioral model
widened to word-level) needed updates.

The "real parallel scaling is flat beyond N_SLOTS=2" finding (DEC-0014)
still holds - this optimization made the shared PSRAM port more
efficient per transaction, not multi-ported - so N_SLOTS=2 remains
the recommended default.

Logged: simulation/synthesis/timing/benchmark/decisions (DEC-0015)/
experiments (EXP-0015)/development.log.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013xXuuRUWZScuo1DeYJxs3v
This commit is contained in:
michele
2026-09-05 20:35:19 +02:00
co-authored by Claude Sonnet 5
parent 3cdaeaee35
commit e4a5540b6e
14 changed files with 489 additions and 168 deletions
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hardware/v2/logs/synthesis.log
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@@ -97,3 +97,18 @@ N_SLOTS=4: LUT4=7552 CCU2C=768 TRELLIS_FF=6495 MULT18X18D=32 DP16KD=0
(N_SLOTS=2 reference, EXP-0009: LUT4=4191 CCU2C=388 FF=3659 DSP=16 DP16KD=0)
CHECK: 0 problems on both, same benign warnings as every other
neural_processor instantiation since EXP-0001.
[2026-09-05] EXP-0015 -- neural_multiprocessor N_SLOTS=1/2/4 after the
word-level burst-read rewrite (DEC-0015), real standalone synthesis,
no harness needed
N_SLOTS=1: LUT4=1995 CCU2C=200 TRELLIS_FF=2217 MULT18X18D=8 DP16KD=0
N_SLOTS=2: LUT4=3166 CCU2C=388 TRELLIS_FF=3655 MULT18X18D=16 DP16KD=0
N_SLOTS=4: LUT4=5824 CCU2C=768 TRELLIS_FF=6529 MULT18X18D=32 DP16KD=0
CHECK: 0 problems on all three (same benign warnings as every prior
neural_processor instantiation since EXP-0001). Resource cost is
essentially unchanged from the pre-rewrite byte-level numbers
(EXP-0014: LUT4 2642/4191/7552, FF 2240/3659/6495) -- widening the
backend to 16-bit + lb_n/ub_n cost a small amount of LUT4 in some
configs and saved some in others (word-level control logic is
simpler than byte-indexing logic in prefetch_engine.v), net roughly
flat.