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3
Commits
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c419251266 |
Put the frame clock on the 68000, and find that the 12 fps frame does not exist
ROADMAP P3 said "needs MFP timer or VBL" and neither can do it. The MFP's timer clock is 16 MHz/4, its prescalers stop at 200 and its data register is 8 bits, so the slowest tick any single timer can make is 78.125 Hz -- 6.5x faster than a frame -- and 4e6/12 is not an integer, so no setting reaches 12 Hz at all. The raster has no whole divide near 12 either: 4 refreshes is 13.86 fps and 5 is 11.09. tools/analysis/23_frame_clock.py walks all 7x256 timer settings rather than asserting it. src/player/clock.i takes the V-DISP falling edge on MFP GPIP4 -- the start of vertical blanking, which is when a player would present -- and adds fps*VTOTAL per edge to a 16-bit accumulator, emitting a tick at 31,500 and keeping the remainder. The long-run rate is fps*VTOTAL/VTOTAL = 12.000000 fps exactly, and both constants are read out of the CRTC at init, so the clock is derived from the registers that generate the raster it counts. Measured over 3,000 refreshes: 3,000 interrupts, 649 ticks where 649.1429 were due. It costs 181.35 clocks per V-DISP, 838 per frame, 0.1006% of the budget -- timed by the 68000 itself, because the host's granularity is 17.64 ms and the interrupt is microseconds. The loop's own cost was calibrated rather than looked up and landed on 38.000002 clocks, which both licenses the subtraction and confirms buscost.py's model; the 181.35 then decomposes exactly, leaving 43.99 clocks for the interrupt exception -- the textbook 44, measured. THE ONE THAT MOVES SOMETHING: 12 fps on a 55.4577 Hz raster is 4.6215 refreshes, so a frame is shown for 4 refreshes (72.13 ms) or 5 (90.16 ms), 37.9% of them short. The 833,333-clock budget every figure in this project is priced against is the MEAN slot, and the short one is 13.4% under it. The cadence was already in the tree unnamed: stream.lua's tick is sampled at frame boundaries, so its gaps were always 4 or 5, and every host-paced result in FINDINGS 49/51 carried it. P3 moved who produces it onto the machine and made it visible. It is not a dropped frame -- the pace gate lets an overrun eat the next frame's idle -- and on the gate container it costs 4 frames of 120 their idle against 1 for the nominal model, most of that the frame-0 transient at 111% of budget. stream.s counts it now, and the rig matches an offline model of the divider exactly. Also struck: MAME's raster runs 2.22% fast. refresh_mode() builds the frame period from scr.max_x*scr.max_y with scr.max_x = m_htotal - 8, one character cell short and an inclusive bound used as a count, so it runs at 56.6901 Hz where the registers say 55.4577 -- agreeing to six digits with the arithmetic. Every "1/55.46 s granularity" note in this tree was wrong and is 1/56.69 s, corrected in six files with the derivation put once in crtc_mode.lua. No conclusion changes and no 68000 cycle figure moves; the CPU clock is unrelated to the screen. But anything paced by the raster runs fast under MAME, so the rig reports both rates and prices the interrupt against the hardware's. decode.s and frame.i are unchanged; decode.bin is still 1,296 B at the same MD5. The pace gate's wait loop is byte-for-byte the one FINDINGS 51 measured and the free-running path executes none of the new code. check.sh gains two stages: the clock's own measurement, and 120 frames decoded pixel-exact with nothing outside the machine deciding when a frame may start. Claude-Session: https://claude.ai/code/session_01194oWYW8DQXK1SZ2DnChW6 |
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06b98d4b47 |
Price cycles in the mode decision: 37 misses become 1, for 0.26 dB
The decoder has been CPU-bound since FINDINGS 28 while the mode decision
minimised D + lam*R -- distortion against BYTES. decide() now minimises
D + lam*bytes + mu*cycles, and ratectl bisects mu per frame against the
833,333-cycle budget with the lam bisection nested inside it. On the worst
sustained window:
sasi 27.22 -> 26.95 dB, 109.5 -> 109.4 KB/s, 37/120 misses -> 1
scsi 29.90 -> 29.27 dB, 280.0 -> 278.6 KB/s, 51/120 misses -> 1
Bitrate does not move: the byte controller still binds, and mu changes WHICH
modes are bought. V4 is what it stops buying -- 25.2 -> 20.3% of blocks at sasi
and 15.0 -> 5.3% at scsi, where RAW takes it. That is 28.8's inversion in
practice: RAW is dearer in bytes and cheaper in cycles, so only the byte-rich
profile can buy its way out of V4.
Three things worth knowing beyond the headline:
- The one frame that still misses, at both profiles, is FRAME 0 -- no previous
reconstruction, so 100% changed by definition, which is also what a scene
cut is. It comes out at the all-V1 floor of 110.6% and is emitted late on
purpose. Freezing a cut to make a deadline is the worse failure.
- 28.7's "11 frames are impossible" was too pessimistic. That floor held the
SKIP set fixed and asked how cheaply the drawn blocks could be drawn; the
real decision can also MOVE a block to SKIP, which above ~90% non-SKIP is
the only lever left.
- SKIP's price depends on its neighbours (13.25 cycles clustered, 45 mixed),
which a per-block lagrangian cannot see. The way out is that the two uses
need not share a cost function: a ranking constant inside decide(), the
exact clustered rule for the frame-level bisection. vq_hybrid.cycles() is
now the one definition of that rule and 11_cpu_budget.py imports it.
Gated: 09_ratectl_drift.py runs both controllers, both 0/120 drifting frames.
The cost-aware container decodes pixel-exact on the 68000 (120 frames). ON by
default in encode.py; --no-cpu-fit restores session 7. check.sh ALL GREEN.
Still a model, not a measurement, for THIS container: FINDINGS 31's cycle
figures come from vq_hybrid.cycles (within 1 point of the 68000 on four frames
of the session-7 container). Timing this one on the machine is step 1 of the
next session -- it was started and killed for time, and it is slow.
FINDINGS 31. tools/analysis/13_cpu_ratectl.py.
Claude-Session: https://claude.ai/code/session_01194oWYW8DQXK1SZ2DnChW6
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e1aa26bb57 |
The 68000 decoder draws pixel-exact frames, and does not fit
src/player/decode.s parses DLX1 and decodes straight into GVRAM. Verified pixel-exact over a 120-frame sequential run of the worst sustained window on the disc -- all four block modes, full temporal recursion, so the last frame is only right if all 120 were. In check.sh. It costs a mean of 81.7% of a 12fps frame budget, and 31% of frames exceed 100% (42% at scsi). CPU is now the binding constraint. FINDINGS 28. Three things that were believed and are not true: - The dual-display-path plan of FINDINGS 24.5/25.6 is incoherent. The compose path needs a RAM copy of the previous reconstruction; the direct path's selling point is that it keeps none. Mixing them shows stale pixels on 70 of 120 frames, worst frame 18.8% of the screen. Every coherent repair is dearer than not mixing, and 24.5's two figures were both copies with no decode in either, so there was never a crossover to find. One path ships, and the 96KB reference frame is gone. tools/analysis/10_pathmix_drift.py keeps the counterexample runnable; check.sh asserts it still reproduces. - The four block modes do not cost the same. V1 300, V4 448, RAW 400 cycles against the old model's flat 207.8. V4 is 25% of blocks and 50% of the cycles, and the mode decision charges it bytes it does not charge cycles for. tools/analysis/11_cpu_budget.py reproduces all four frames timed on the 68000 to within 1 point. Hand-derived timings agree to 0.5% on V1. - The container is big-endian but not aligned. Variable-length records laid end to end put frame 1's length field at an odd address, and move.l (a0)+ there is an address error: frame 0 decoded perfectly and then vectored into the IPL for 59 emulated seconds looking like a hang. Found by dumping PC, not by reading the source. Also: an all-V1 frame, the cheapest possible full redraw, is 110.5% of budget. No mode assignment fits a scene cut at 12fps. That one needs a decision, not a measurement. Next: charge cycles in the mode decision and bisect against 833,333 per frame, the way session 6 bisects lam against bytes -- but with no bucket, because a late frame cannot be banked. Claude-Session: https://claude.ai/code/session_01194oWYW8DQXK1SZ2DnChW6 |