#!/usr/bin/env python3 """Would letting the HD63450 paint the spans beat letting the 68000 do it? python3 tools/analysis/14_dmac_chain.py [container.dlx] [--bus 488] [--dma-px-bus 2] [--disk-bus-byte 1] FINDINGS 29.6 called this the one lever that could move the CPU budget without spending a byte, and left it uncosted. FINDINGS 30 measured the alternative -- the 68000 painting spans itself, 43.7 cycles per span + 9.152 per pixel. This prices the two against each other, and the answer turns on a resource neither section costed: the 68000's own LOCAL BUS. FINDINGS 29's "the bus has 4x the headroom the CPU has" is about the SCSI pipe, 110 KB/s of 488. That is a different bus. The 68000's memory bus runs one 4-clock cycle at a time and carries instruction prefetch as well as data, and tools/analysis/15_bus_occupancy.py measures the decoder using 86.7% of it. THE TWO DESIGNS ARE THE SAME CONTAINER. v6's record is {u32 absolute GVRAM address, u16 jump displacement} = 6 bytes; an MC68450/HD63450 array-chaining entry is {u32 memory address, u16 transfer count} = 6 bytes. Set the channel to dual-address, direction device->memory, Sequence Control counting both addresses up: MAR reloads per entry (the GVRAM destination), DAR walks the stream buffer, MTC is the span's word count. The chain array IS the span table. THE DMAC CONSTANTS ARE NOW SOURCED, and they killed the first answer. From the MC68450 manual (Motorola, Jul 1989, bitsavers), Fig 4-25 sheet 4: a dual-address WORD operand between two 16-bit ports is **9 clocks**, because note 2 gives the DMAC 4-clock reads and **5-clock writes**. The 68000 writes in 4. So: DMAC 9.000 clocks/pixel (datasheet) v6 9.152 clocks/pixel (measured, FINDINGS 30) A 1.7% difference. Session 10's first pass guessed 2 bus cycles = 8 clocks from bus arithmetic and was 12% optimistic; the extra clock on every DMAC write is the whole story. Per span, sequential array chaining costs 36 clocks (Fig 4-25 sheet 1) against v6's measured 43.7 -- the DMAC's one real edge, and it is small. AND DMA DOES NOT OVERLAP. The 68000 has no cache and a two-word prefetch queue, so it stalls as soon as another master takes the bus. Frame time is therefore CPU + DMA, additive. Session 10's first pass used max(CPU, bus) and got 53/120 where the additive model gives 84/120; FINDINGS 35's flat debit was right. So the only material difference left is v6's 24-pixel padding quantum -- and that is a property of v6's unrolled chain, not of the CPU. The `v7 fine tail` column prices fixing it in software instead, and as of session 11 that column is MEASURED on the 68000 (blit.s v7, tools/bench/span.sh, FINDINGS 40) rather than derived: 66.0 clocks per span + 9.143 per coarse pixel + 9.978 per fine pixel, with a 2-pixel quantum that a run of 4x4 blocks pads to exactly. """ import sys, os, argparse sys.path.insert(0, "tools/encoder") sys.path.insert(0, "tools/analysis") import numpy as np from dlx import DLX import buscost as B FRAME_CYC = 833333.0 AUDIO_KBPS = 7.8 import vq_hybrid as _H C_V1, C_V4, C_RAW = _H.C_V1, _H.C_V4, _H.C_RAW # FINDINGS 28.2 (MEASURED) # 45.0 until session 12 measured it at 55.0 (FINDINGS 41.5) -- imported now, so # the correction cannot be undone by a stale copy. C_SKIP_CLUSTERED, C_SKIP_MIXED = _H.C_SKIP_CLUSTERED, _H.C_SKIP_MIXED SPAN_BYTES_PX, SPAN_HDR = 2, 6 ap = argparse.ArgumentParser() ap.add_argument("container", nargs="?", default="tmp/rc_fr_singe_scsi_cpufit.dlx") ap.add_argument("--bus", type=float, default=488.0, help="SCSI pipe, KB/s") ap.add_argument("--fps", type=float, default=12.0) ap.add_argument("--dma-px-clk", type=float, default=B.DMA_PX_CLK, help="clocks the DMAC spends per pixel, dual-address word " "between two 16-bit ports. 9 is the DATASHEET figure " "(MC68450 Fig 4-25 sheet 4).") ap.add_argument("--disk-clk-word", type=float, default=8.0, help="clocks the SCSI DMA steals per word. The datasheet " "brackets it at 5 (DMAC holds the bus) to 12 (arbitrates " "per word); FINDINGS 5's estimate of 8 is the midpoint.") a = ap.parse_args() if not os.path.exists(a.container): sys.exit(f"missing {a.container}") BYTE_BUD = (a.bus - AUDIO_KBPS) * 1024 / a.fps BUS_SLOTS = FRAME_CYC / B.BUS_CLK d = DLX(a.container) BLK_C = {1: C_V1, 2: C_V4, 3: C_RAW} BLK_B = {1: 1, 2: 4, 3: 16} def runs(m, by): dirty = m[by] != 0 i = 0 while i < d.nbx: if not dirty[i]: i += 1; continue j = i while j < d.nbx and dirty[j]: j += 1 yield i, j i = j def span_cost(design, L): """(pixels carried, clocks charged to the frame) for a run of L blocks, as 4 rows of 4L pixels. Every design is charged additively: the 68000 cannot execute while the DMAC owns the bus.""" if design == "v6": px = B.pad24(4 * L) return 4 * px, 4 * (B.V6_SPAN_CYC + px * B.V6_PX_CYC) if design == "v7": px, c = B.v7_span(4 * L) return 4 * px, 4 * c px = 4 * L return 4 * px, 4 * (B.DMA_CHAIN_CLK + px * a.dma_px_clk) def score(design): """Greedy, as 12_span_tradeoff.py: buy the best clocks-saved per byte spent until the frame's byte budget is gone. Unlike 12, a spanned block still pays its mode-map dispatch, which FINDINGS 30.7 flagged as uncounted.""" out = [] for f in range(d.nframes): m = d.modes(f).reshape(d.nby, d.nbx) byt = d.mode_bytes + sum(BLK_B.get(int(x), 0) for x in m.ravel()) spanned = np.zeros_like(m, bool) span_clk = 0.0 cand = [] if design != "none": for by in range(d.nby): for i, j in runs(m, by): L = j - i cur_c = sum(BLK_C[int(b)] for b in m[by][i:j]) cur_b = sum(BLK_B[int(b)] for b in m[by][i:j]) px, sc = span_cost(design, L) sc += L * C_SKIP_MIXED # the dispatch still happens # v7 carries a second u16 (the fine displacement) per span. hdr = B.V7_SPAN_HDR if design == "v7" else SPAN_HDR span_b = 4 * hdr + px * SPAN_BYTES_PX if sc < cur_c: cand.append((cur_c - sc, span_b - cur_b, by, i, j, sc, L)) cand.sort(key=lambda s: -(s[0] / max(s[1], 1))) for dc, db, by, i, j, sc, L in cand: if byt + db <= BYTE_BUD: byt += db spanned[by][i:j] = True span_clk += sc - L * C_SKIP_MIXED g = m.copy() g[spanned] = 0 gg = g.reshape(-1, 4) allskip = (gg == 0).all(1) cpu = allskip.sum() * 4 * C_SKIP_CLUSTERED mm = gg[~allskip] cpu += (mm == 0).sum() * C_SKIP_MIXED for k, c in BLK_C.items(): cpu += (mm == k).sum() * c pref, data = B.block_bus(m, spanned) disk = byt / 2.0 * a.disk_clk_word # additive: CPU work, then span painting, then the disk stealing the bus out.append((cpu + span_clk + disk, (pref + data) * B.BUS_CLK, byt, spanned.sum())) return np.array(out).T DESIGNS = [("today", "none"), ("v6 span", "v6"), ("v7 fine tail", "v7"), ("DMAC chain", "dmac")] res = {n: score(k) for n, k in DESIGNS} print(f"{a.container}: {d.nframes} frames, {d.nb} blocks, {a.fps:g} fps") print(f"SCSI pipe {a.bus:.0f} KB/s -> {BYTE_BUD:,.0f} B/frame; " f"68000 bus {BUS_SLOTS:,.0f} cycles/frame; CPU {FRAME_CYC:,.0f} clocks\n") print("PER PIXEL AND PER SPAN -- datasheet against measurement") print(f" DMAC dual-address word, two 16-bit ports {B.DMA_PX_CLK:.3f} clocks " f"MC68450 Fig 4-25 sheet 4") print(f" v6 movem chain {B.V6_PX_CYC:.3f} clocks " f"MEASURED, FINDINGS 30") print(f" -> the DMAC is {100*(B.V6_PX_CYC-B.DMA_PX_CLK)/B.V6_PX_CYC:+.1f}% per pixel. " f"The 68000 writes in 4 clocks; the DMAC takes 5.") print(f" per span: DMAC array chaining {B.DMA_CHAIN_CLK} clocks against v6's " f"{B.V6_SPAN_CYC:.1f}\n") w = 15 print(f"{'':<26}" + "".join(f"{n:>{w}}" for n, _ in DESIGNS)) def row(label, fmt, get): print(f" {label:<24}" + "".join(f"{fmt(get(res[n])):>{w}}" for n, _ in DESIGNS)) row("bitrate KB/s", lambda v: f"{v:.1f}", lambda r: r[2].mean() * a.fps / 1024) row("frame, median", lambda v: f"{v:.1f}%", lambda r: 100*np.median(r[0])/FRAME_CYC) row("frame, worst", lambda v: f"{v:.1f}%", lambda r: 100*r[0].max()/FRAME_CYC) row("frames missing", lambda v: f"{v}/{d.nframes}", lambda r: int((r[0] > FRAME_CYC).sum())) row("blocks spanned/frame", lambda v: f"{v:,.0f}", lambda r: r[3].mean()) print(f"\n ADDITIVE: frame = CPU + span painting + disk DMA. The 68000 has no" f"\n cache and a two-word prefetch queue, so it stalls the moment another" f"\n master takes the bus. Disk debited at {a.disk_clk_word:g} clocks/word.") # What is left of the case, isolated. v6m = int((res["v6 span"][0] > FRAME_CYC).sum()) finem = int((res["v7 fine tail"][0] > FRAME_CYC).sum()) dmam = int((res["DMAC chain"][0] > FRAME_CYC).sum()) print(f"\nWHAT THE DMAC ACTUALLY BUYS, decomposed") print(f" v6 as built {v6m}/{d.nframes} frames over") print(f" v7, a finer chain tail (MEASURED) {finem}/{d.nframes}") print(f" DMAC chain {dmam}/{d.nframes}") print(f" -> of the gap between v6 and the DMAC, " f"{100*(v6m-finem)/max(v6m-dmam,1):.0f}% is the 24-pixel padding") print(f" quantum, which is a property of v6's unrolled chain and fixable") print(f" in software. The rest is 1.7% a pixel and 7.7 clocks a span.") # The additive model here IS FINDINGS 35's flat debit, and reproduces its # 84/120 exactly in the "today" column. Session 10's first pass replaced it with # max(CPU, bus) and got 53/120; that was wrong, because a 68000 cannot execute # while the DMAC holds the bus. print(f"\nbreak-even against all-V1 ({C_V1:.1f} cycles/block), clocks per block") print(f" {'L':<16}" + "".join(f"{L:>8}" for L in (1, 2, 3, 4, 8, 16, 64))) for nm, dz in (("v6 as built", "v6"), ("v7 fine tail", "v7"), ("DMAC chain", "dmac")): print(f" {nm:<16}" + "".join(f"{span_cost(dz, L)[1]/L:>8.0f}" for L in (1, 2, 3, 4, 8, 16, 64))) for nm, dz in (("v6 as built", "v6"), ("v7 fine tail", "v7"), ("DMAC chain", "dmac")): brk = next((L for L in range(1, 65) if span_cost(dz, L)[1] < L * C_V1), None) print(f" {nm:<16} beats all-V1 from L={brk} blocks up")