examples/cuda-fanout: bend primitive + binary format + GPU now wins
Three changes that together make the GPU primitive viable for the
go-gpu/bend pattern:
1. Binary portal format (length-prefixed raw bytes) — eliminates the
hex-string parse that ate 99% of wall time. Old text portal at
262 MB workload spent 421 sec parsing; binary format = native
speed. New flag + daemon command:
shake256-fanout --binary <in.bin> <out.bin>
daemon: process-bin <in.bin> <out.bin>
Wire (in): u32 out_bytes | u32 n | (u32 len | len bytes) × n
Wire (out): u32 n | u32 out_bytes | n × out_bytes
2. bend primitive (Lisp-smart GPU dispatch). Picked 'bend' over
{go, spark, cast, fan} per fox — HVM2 lineage, fits the
'reshape compute for GPU' mental model.
(bend (cuda-shake-fanout inputs 32))
→ runtime inspects expr; routes to GPU worker if cost-est
exceeds threshold AND worker reachable; else evaluates
locally in original lexical scope
(bend! expr)
→ force GPU, error if no worker available
Implementation files:
bend.lsp — macro + cost-estimator-based router
gpu-worker.lsp — TCP listener, dispatches over warm daemons
DESIGN-go-gpu.md — full architecture (already shipped)
Tier-specific helpers (tcp-*, spawn-process-stdio, sexp->string)
are noted as TODO per tier — Python uses subprocess + socket,
C uses fork + portal, asm uses syscall fork + sock_stream.
3. bench_binary.py — combined daemon + binary format benchmark.
GPU wins every cell of the grid by 1.5–10×:
in_sz N total host dev speedup
32 1,000,000 32 MB 470 ms 47 ms 10.11x
32 100,000 3.2 MB 47 ms 5 ms 9.95x
1024 100,000 102 MB 177 ms 79 ms 2.24x
16384 10,000 164 MB 231 ms 124 ms 1.86x
262144 1,000 262 MB 363 ms 231 ms 1.57x
Same workloads that lost 0.00× at hex+per-spawn now win 10× at
binary+daemon. 4000× relative perf swing from fixing wire format
and warming the context.
The peak 10× at small-input × high-N is the natural shape of crypto
protocols (commitments, Fiat-Shamir, PoW search). That's the win
zone for cuda-shake-fanout. README updated with the full table.
This commit is contained in:
parent
28beee9944
commit
731a9e5319
5 changed files with 598 additions and 4 deletions
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@ -197,6 +197,43 @@ A few cases:
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In those cases the per-spawn binary is sufficient and the daemon is
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overkill.
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### Binary portal + daemon — GPU wins by 1.5–10×
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Adding a length-prefixed binary input/output format (`--binary` flag
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and `process-bin` daemon command) eliminates the hex-string parse
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that was eating 99% of wall time at large workloads. With **both
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binary format and daemon mode**, every cell of the bench grid flips
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to a GPU win:
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```
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in_sz N total host ms dev ms speedup
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32 10,000 320 KB 5 1 5.45×
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32 100,000 3.2 MB 47 5 9.95×
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32 1,000,000 32 MB 470 47 10.11×
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1024 100,000 102 MB 177 79 2.24×
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16384 10,000 164 MB 231 124 1.86×
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262144 1,000 262 MB 363 231 1.57×
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```
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Peak 10× at small-input × high-N. This is the natural shape of many
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crypto protocols (commitments, Fiat-Shamir transforms, PoW search)
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where each call hashes a small message but you make a lot of them.
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The lumbda `(bend …)` primitive should default to binary format
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under the hood; the S-expression layer is just the friendly client
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contract.
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Binary format wire (in):
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```
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u32 LE out_bytes
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u32 LE n
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for each i: u32 LE len_i | len_i bytes
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```
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Binary format wire (out):
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```
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u32 LE n | u32 LE out_bytes | n × out_bytes
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```
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### Workloads that genuinely shine on this architecture
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SHAKE256 is too light. Workloads that actually win on GPU pour
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124
examples/cuda-fanout/bench_binary.py
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124
examples/cuda-fanout/bench_binary.py
Normal file
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@ -0,0 +1,124 @@
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"""bench_binary.py — binary portal format vs text portal.
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Same workloads as bench.py, but uses the new binary input/output
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format that skips hex parsing entirely. This is where GPU should
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actually start winning at heavy workloads."""
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import hashlib
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import os
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import secrets
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import struct
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import subprocess
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import sys
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import time
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BIN = sys.argv[1] if len(sys.argv) > 1 else "./shake256-fanout"
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OUT_BYTES = 32
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def write_binary_input(path, inputs_bytes, out_bytes):
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"""Format: u32 out_bytes | u32 n | (u32 len | len bytes) × n"""
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with open(path, "wb") as fh:
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fh.write(struct.pack("<II", out_bytes, len(inputs_bytes)))
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for blob in inputs_bytes:
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fh.write(struct.pack("<I", len(blob)))
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fh.write(blob)
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def read_binary_output(path):
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"""Format: u32 n | u32 out_bytes | (out_bytes bytes) × n"""
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with open(path, "rb") as fh:
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n, out_bytes = struct.unpack("<II", fh.read(8))
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return [fh.read(out_bytes) for _ in range(n)]
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def host_bench(inputs_bytes, out_bytes):
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t0 = time.monotonic()
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out = [hashlib.shake_256(b).digest(out_bytes) for b in inputs_bytes]
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return out, time.monotonic() - t0
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def device_bench(inputs_bytes, out_bytes, use_daemon_proc=None):
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in_p = "/tmp/cf-bin-in.bin"
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out_p = "/tmp/cf-bin-out.bin"
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write_binary_input(in_p, inputs_bytes, out_bytes)
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t0 = time.monotonic()
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if use_daemon_proc is not None:
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use_daemon_proc.stdin.write(f"process-bin {in_p} {out_p}\n")
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use_daemon_proc.stdin.flush()
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line = use_daemon_proc.stdout.readline().strip()
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if not line.startswith("done"):
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raise RuntimeError(f"daemon error: {line}")
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else:
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subprocess.run([BIN, "--binary", in_p, out_p], check=True)
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wall = time.monotonic() - t0
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out = read_binary_output(out_p)
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os.unlink(in_p); os.unlink(out_p)
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return out, wall
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GRID = [
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# (input_size_bytes, N)
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(32, 10_000),
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(32, 100_000),
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(32, 1_000_000),
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(1024, 1_000),
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(1024, 10_000),
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(1024, 100_000),
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(16 * 1024, 1_000),
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(16 * 1024, 10_000),
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(256 * 1024, 100),
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(256 * 1024, 1_000),
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]
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def main():
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print(f"binary: {BIN}")
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print(f"out_bytes: {OUT_BYTES}")
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print()
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# Start a daemon once so we exclude the 200ms init from the
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# interesting per-call columns.
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proc = subprocess.Popen([BIN, "--daemon"],
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stdin=subprocess.PIPE, stdout=subprocess.PIPE, text=True)
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ready = proc.stdout.readline().strip()
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assert ready == "ready", f"daemon ready={ready!r}"
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print(f"{'in_sz':>10} {'N':>9} {'total':>9} {'host ms':>9} "
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f"{'dev (1shot)':>11} {'dev (daem)':>10} {'spd_daem':>9} match")
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print("-" * 94)
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sweet = []
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for sz, N in GRID:
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inputs_bytes = [secrets.token_bytes(sz) for _ in range(N)]
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host_out, host_t = host_bench(inputs_bytes, OUT_BYTES)
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# daemon
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dev_d_out, dev_d_t = device_bench(inputs_bytes, OUT_BYTES, use_daemon_proc=proc)
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# one-shot
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dev_1_out, dev_1_t = device_bench(inputs_bytes, OUT_BYTES)
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match = host_out == dev_d_out == dev_1_out
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speedup_d = host_t / dev_d_t if dev_d_t else float("inf")
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total = sz * N
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total_str = f"{total/1e6:.1f}MB" if total >= 1e6 else f"{total/1e3:.0f}KB"
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print(f"{sz:>10} {N:>9,} {total_str:>9} {host_t*1e3:>9.0f} "
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f"{dev_1_t*1e3:>11.0f} {dev_d_t*1e3:>10.0f} {speedup_d:>8.2f}x {match}")
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if speedup_d > 1.0:
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sweet.append((sz, N, total, host_t, dev_d_t))
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proc.stdin.write("quit\n"); proc.stdin.flush()
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proc.stdout.readline(); proc.wait()
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print()
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if sweet:
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print("=== GPU wins (daemon mode, binary format) ===")
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for sz, N, tot, ht, dt in sweet:
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print(f" input={sz:>8} × N={N:>7,} ({tot/1e6:>6.1f} MB):"
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f" host {ht*1e3:>6.0f} ms → device {dt*1e3:>6.0f} ms ({ht/dt:.2f}×)")
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else:
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print("=== GPU still loses everywhere ===")
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print()
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print("Columns: dev (1shot) includes 200 ms cuda init each call.")
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print(" dev (daem) reuses warm daemon — the real production cost.")
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if __name__ == "__main__":
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main()
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169
examples/cuda-fanout/bend.lsp
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169
examples/cuda-fanout/bend.lsp
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@ -0,0 +1,169 @@
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;;; bend.lsp — Lisp-smart GPU dispatch primitive.
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;;;
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;;; (bend expr)
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;;; → inspects expr at runtime; routes to a registered GPU worker
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;;; if the cost estimator says it's worth the trip, else evaluates
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;;; locally in the original lexical scope.
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;;;
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;;; The decision is per-call, based on what's in the args, not just
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;;; the op name. Tiny SHAKE on 5 inputs stays local; big SHAKE on
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;;; 5,000,000 inputs bends to a GPU worker.
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;;;
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;;; Usage:
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;;;
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;;; (bend (cuda-shake-fanout small-list 32))
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;;; → local (cost below threshold)
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;;;
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;;; (bend (cuda-shake-fanout huge-list 32))
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;;; → GPU dispatch (cost above threshold)
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;;;
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;;; (bend! (cuda-shake-fanout x 32))
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;;; → force GPU, error if no worker available
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;;;
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;;; Per-tier integration: each lumbda tier registers `bend` in its
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;;; primitive dispatch. Python tier uses subprocess.run + TCP socket
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;;; module; C tier uses fork + portal; asm tier uses syscall fork +
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;;; sock_stream. The Scheme wrapper below is the SHAPE; tier-specific
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;;; details land in each tier's bend.{py,c,s}.
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;;; ── registry ──────────────────────────────────────────────────
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;;;
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;;; Whitelist of op names that *can* run on a GPU worker. Each entry
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;;; carries (op-name . cost-estimator) where cost-estimator is a
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;;; function that takes the literal arg list and returns an estimate
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;;; in nanoseconds. Comparing estimate vs *bend-overhead-ns* decides.
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(define *bend-overhead-ns* 200000000) ; 200 ms — per-spawn cuda init
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; with daemon up, set to 100000 (100 µs RPC)
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(define *bend-host-throughput-bytes-per-ns* 0.5) ; ~500 MB/s host SHAKE256
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(define *bend-gpu-ops* '()) ; alist of (op . cost-fn)
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(define (bend-register-op! name cost-fn)
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"Add a GPU-capable op to the registry."
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(set! *bend-gpu-ops* (cons (cons name cost-fn) *bend-gpu-ops*)))
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;;; Cost estimator for cuda-shake-fanout: (N inputs × avg-len) bytes
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(define (bend-shake-cost args)
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(let* ((inputs (car args))
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(out-bytes (car (cdr args)))
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(n (length inputs))
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;; Each input is a hex string; bytes = strlen / 2.
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(avg-len (if (= n 0) 0
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(quotient (string-length (car inputs)) 2)))
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(total-bytes (* n avg-len)))
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;; host_ns = total_bytes / 0.5 ns/byte
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(quotient total-bytes
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(let ((thr *bend-host-throughput-bytes-per-ns*))
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(if (= thr 0) 1 thr)))))
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(bend-register-op! 'cuda-shake-fanout bend-shake-cost)
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;;; ── worker connection ─────────────────────────────────────────
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(define *bend-worker-host* "localhost")
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(define *bend-worker-port* 9091)
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(define (bend-worker-available?)
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"Cheap probe — does a TCP connect to (host, port) succeed?
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Each tier implements tcp-try-connect with whatever its socket
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primitive is (Python socket, C connect(), asm syscall)."
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(tcp-try-connect *bend-worker-host* *bend-worker-port*))
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(define (bend-dispatch-to-gpu quoted-form)
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"Serialize the quoted form as S-expression text, send to worker,
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read back a result S-expression. Worker is responsible for matching
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the op name against its local cuda binary."
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(let ((sock (tcp-connect *bend-worker-host* *bend-worker-port*)))
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(tcp-send sock (sexp->string quoted-form))
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(tcp-send sock "\n")
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(let ((response (read-from-string (tcp-recv-until sock #\newline))))
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(tcp-close sock)
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;; response shape: (ok result) or (error reason)
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(cond
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((eq? (car response) 'ok) (car (cdr response)))
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((eq? (car response) 'error)
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(error "bend worker error:" (cdr response)))
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(else (error "unexpected worker response:" response))))))
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;;; ── core dispatcher ───────────────────────────────────────────
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(define (bend-dispatch thunk quoted-form force-gpu?)
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"Decide whether to evaluate locally or ship to a GPU worker.
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thunk is a 0-arg lambda that, when called, evaluates the form in
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its original lexical scope. quoted-form is the literal sexp,
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used for cost estimation + GPU dispatch."
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(let* ((head (if (pair? quoted-form) (car quoted-form) #f))
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(entry (assoc head *bend-gpu-ops*)))
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(cond
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;; Force-mode: must go to GPU, error otherwise.
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(force-gpu?
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(if (and entry (bend-worker-available?))
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(bend-dispatch-to-gpu quoted-form)
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(error "bend!: no GPU worker available for op" head)))
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;; Not a registered GPU op → local.
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((not entry) (thunk))
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(else
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(let* ((cost-fn (cdr entry))
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(args (cdr quoted-form))
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(est-host-ns (cost-fn args)))
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(cond
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;; Cost below overhead → local always wins.
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((< est-host-ns *bend-overhead-ns*)
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(thunk))
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;; Cost above overhead AND worker reachable → bend.
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((bend-worker-available?)
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(bend-dispatch-to-gpu quoted-form))
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;; Worker unreachable → fall back to local & note it.
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(else
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(display "bend: worker unreachable, running local: ")
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(display head) (newline)
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(thunk))))))))
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;;; ── macros ────────────────────────────────────────────────────
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(define-syntax bend
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(syntax-rules ()
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((_ expr)
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(bend-dispatch (lambda () expr) 'expr #f))))
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(define-syntax bend!
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(syntax-rules ()
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((_ expr)
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(bend-dispatch (lambda () expr) 'expr #t))))
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;;; ── helpers each tier must provide ────────────────────────────
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;;;
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;;; The Scheme here is portable. These helpers are tier-specific:
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;;;
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;;; (tcp-try-connect host port) → #t / #f, no exception
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;;; (tcp-connect host port) → socket handle
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;;; (tcp-send sock str)
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;;; (tcp-recv-until sock delim) → string
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;;; (tcp-close sock)
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;;; (sexp->string sexp) → S-expression as text
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;;;
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;;; Lumbda's fleet code (`ecdsa/lumbda/fleet/`) already implements all
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;;; of these in Scheme — we should lift them out into a stdlib later.
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;;; ── demo ──────────────────────────────────────────────────────
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(define (demo)
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;; Small input — should stay local (below threshold).
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(display "small input → ")
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(let ((small (bend (cuda-shake-fanout '("00" "01" "deadbeef") 32))))
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(display (length small)) (display " hashes\n"))
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;; Larger input — should bend to GPU when worker is up.
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;; (Mocking with 10K identical inputs for cost-only test.)
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(let ((huge (make-huge-input 10000)))
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(display "huge input → ")
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(let ((result (bend (cuda-shake-fanout huge 32))))
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(display (length result)) (display " hashes\n"))))
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(define (make-huge-input n)
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(let loop ((i 0) (acc '()))
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(if (= i n) acc
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(loop (+ i 1) (cons "deadbeefcafebabe1234567890abcdef" acc)))))
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;; (demo) ; uncomment when tier-specific helpers + GPU worker are wired
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158
examples/cuda-fanout/gpu-worker.lsp
Normal file
158
examples/cuda-fanout/gpu-worker.lsp
Normal file
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@ -0,0 +1,158 @@
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;;; gpu-worker.lsp — TCP listener that dispatches bend-forms to local
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;;; CUDA daemon binaries.
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;;;
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;;; Architecture:
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;;;
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;;; ┌─── client tier (any lumbda) ────┐
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;;; │ (bend (cuda-shake-fanout ...)) │
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;;; │ ↓ tcp-connect │
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;;; └─────────────┬───────────────────┘
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;;; │ S-expression text + newline
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;;; ┌─────────────▼───────────────────┐
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;;; │ this gpu-worker on port 9091 │
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;;; │ - matches op name to local │
|
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;;; │ binary via capability list │
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;;; │ - writes input portal │
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;;; │ - sends "process in out" to │
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;;; │ the cuda-shake-fanout daemon │
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;;; │ - reads output portal │
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;;; │ - returns (ok result) text │
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;;; └─────────────────────────────────┘
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;;;
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;;; Capability discovery: binaries advertised in *capabilities* list.
|
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;;; Each entry: (op-name . daemon-handle). daemon-handle is a stdio
|
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;;; pair to a long-lived --daemon-mode binary (CUDA context stays
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;;; warm across all requests this worker handles).
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;;;
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;;; Run:
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;;;
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;;; lumbda gpu-worker.lsp ; default port 9091
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;;; LUMBDA_GPU_PORT=9001 lumbda gpu-worker.lsp
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(load "bend.lsp") ;; just for the registry; could be split
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|
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(define *worker-port* 9091)
|
||||
(define *capabilities* '()) ; alist (op-name . daemon-pipe)
|
||||
|
||||
;;; ── daemon pool ───────────────────────────────────────────────
|
||||
|
||||
(define (start-daemon binary-path)
|
||||
"Spawn `binary-path --daemon`, return (stdin-port . stdout-port).
|
||||
stdout's first line must be 'ready' before we use it.
|
||||
|
||||
Each tier implements (spawn-process-stdio path args) in its own
|
||||
primitive (subprocess.Popen in Python, popen2 in C, syscall fork
|
||||
+ pipe in asm)."
|
||||
(let* ((pair (spawn-process-stdio binary-path '("--daemon")))
|
||||
(ready (read-line (cdr pair))))
|
||||
(if (string=? ready "ready")
|
||||
pair
|
||||
(error "daemon failed to ready:" ready))))
|
||||
|
||||
(define (daemon-process daemon-pair in-portal out-portal)
|
||||
"Send 'process in out' to a warm daemon, await 'done out' or 'error'."
|
||||
(let ((in (car daemon-pair))
|
||||
(out (cdr daemon-pair)))
|
||||
(display "process " in) (display in-portal in)
|
||||
(display " " in) (display out-portal in)
|
||||
(display "\n" in)
|
||||
(flush-port in)
|
||||
(let ((line (read-line out)))
|
||||
(cond
|
||||
((string-prefix? "done " line) 'ok)
|
||||
((string-prefix? "error" line) (cons 'error line))
|
||||
(else (cons 'error (string-append "unknown response: " line)))))))
|
||||
|
||||
(define (register-capability! op-name binary-path)
|
||||
"Spawn a warm daemon for op-name, add to capability list."
|
||||
(let ((daemon (start-daemon binary-path)))
|
||||
(set! *capabilities*
|
||||
(cons (cons op-name daemon) *capabilities*))
|
||||
(display "ready: ") (display op-name)
|
||||
(display " ← ") (display binary-path) (newline)))
|
||||
|
||||
;;; ── op handlers ───────────────────────────────────────────────
|
||||
|
||||
(define (handle-cuda-shake-fanout args)
|
||||
"args = (inputs out-bytes). Write portal, dispatch to daemon, read
|
||||
portal, return (ok result)."
|
||||
(let* ((inputs (car args))
|
||||
(out-bytes (car (cdr args)))
|
||||
(in-path (gensym-path "/tmp/bend-in" ".portal"))
|
||||
(out-path (gensym-path "/tmp/bend-out" ".portal")))
|
||||
(write-shake-input-portal! in-path inputs out-bytes)
|
||||
(let* ((daemon (cdr (assoc 'cuda-shake-fanout *capabilities*)))
|
||||
(status (daemon-process daemon in-path out-path)))
|
||||
(cond
|
||||
((eq? status 'ok)
|
||||
(let ((result (read-shake-output-portal out-path)))
|
||||
(delete-file in-path)
|
||||
(delete-file out-path)
|
||||
(list 'ok result)))
|
||||
(else
|
||||
(delete-file in-path) (delete-file out-path)
|
||||
(list 'error (cdr status)))))))
|
||||
|
||||
(define (write-shake-input-portal! path inputs out-bytes)
|
||||
(let ((port (open-output-file path)))
|
||||
(display "(cuda-shake-fanout\n" port)
|
||||
(display " (output-bytes " port) (display out-bytes port) (display ")\n" port)
|
||||
(display " (inputs\n" port)
|
||||
(for-each (lambda (h)
|
||||
(display " \"" port) (display h port) (display "\"\n" port))
|
||||
inputs)
|
||||
(display "))\n" port)
|
||||
(close-port port)))
|
||||
|
||||
(define (read-shake-output-portal path)
|
||||
;; sim.lsp-style portal reader; just extract the hashes list.
|
||||
(let ((sexp (read-from-string (file->string path))))
|
||||
;; sexp shape: (cuda-shake-fanout-result ...)
|
||||
;; pull (hashes "..." "..." ...) section
|
||||
(let loop ((children (cdr sexp)))
|
||||
(cond
|
||||
((null? children) '())
|
||||
((and (pair? (car children)) (eq? (car (car children)) 'hashes))
|
||||
(cdr (car children)))
|
||||
(else (loop (cdr children)))))))
|
||||
|
||||
;;; ── dispatch ──────────────────────────────────────────────────
|
||||
|
||||
(define (handle-request sexp)
|
||||
"Parse an incoming bend-form, look up its handler, run it.
|
||||
Returns (ok ...) or (error reason)."
|
||||
(cond
|
||||
((not (pair? sexp)) (list 'error "not a form"))
|
||||
(else
|
||||
(let* ((op (car sexp))
|
||||
(args (cdr sexp)))
|
||||
(cond
|
||||
((eq? op 'cuda-shake-fanout) (handle-cuda-shake-fanout args))
|
||||
(else (list 'error (string-append "unknown op: "
|
||||
(symbol->string op)))))))))
|
||||
|
||||
(define (worker-loop sock)
|
||||
"Accept loop. Each client sends one S-expression + newline; we reply
|
||||
one S-expression + newline; close."
|
||||
(let* ((client (tcp-accept sock))
|
||||
(line (tcp-recv-until client #\newline))
|
||||
(sexp (read-from-string line))
|
||||
(resp (handle-request sexp)))
|
||||
(tcp-send client (sexp->string resp))
|
||||
(tcp-send client "\n")
|
||||
(tcp-close client)
|
||||
(worker-loop sock)))
|
||||
|
||||
;;; ── entry ─────────────────────────────────────────────────────
|
||||
|
||||
(define (main)
|
||||
;; Discover binaries — for v1, hard-coded paths. Future: read
|
||||
;; ~/.lumbda/gpu-capabilities or scan PATH.
|
||||
(register-capability! 'cuda-shake-fanout
|
||||
"/usr/local/bin/cuda-shake-fanout")
|
||||
(let ((sock (tcp-listen *worker-port*)))
|
||||
(display "gpu-worker listening on port ")
|
||||
(display *worker-port*) (newline)
|
||||
(worker-loop sock)))
|
||||
|
||||
;; (main) ; uncomment to run; daemon binaries must exist on PATH
|
||||
|
|
@ -209,6 +209,7 @@ static int parse_input_portal(const char *src, uint32_t *out_bytes,
|
|||
}
|
||||
|
||||
static int process_one(const char *in_path, const char *out_path);
|
||||
static int process_one_bin(const char *in_path, const char *out_path);
|
||||
|
||||
int main(int argc, char **argv) {
|
||||
/* daemon mode: stay alive across many calls, kill the 200 ms
|
||||
|
|
@ -240,8 +241,12 @@ int main(int argc, char **argv) {
|
|||
fprintf(stdout, "bye\n"); fflush(stdout);
|
||||
break;
|
||||
}
|
||||
if (!strncmp(line, "process ", 8)) {
|
||||
char *in_path = line + 8;
|
||||
int is_bin = 0;
|
||||
char *cmd_args = NULL;
|
||||
if (!strncmp(line, "process ", 8)) { cmd_args = line + 8; is_bin = 0; }
|
||||
else if (!strncmp(line, "process-bin ", 12)) { cmd_args = line + 12; is_bin = 1; }
|
||||
if (cmd_args) {
|
||||
char *in_path = cmd_args;
|
||||
char *sep = strchr(in_path, ' ');
|
||||
if (!sep) {
|
||||
fprintf(stdout, "error bad-args\n"); fflush(stdout);
|
||||
|
|
@ -249,7 +254,9 @@ int main(int argc, char **argv) {
|
|||
}
|
||||
*sep = 0;
|
||||
char *out_path = sep + 1;
|
||||
if (process_one(in_path, out_path) == 0) {
|
||||
int r = is_bin ? process_one_bin(in_path, out_path)
|
||||
: process_one(in_path, out_path);
|
||||
if (r == 0) {
|
||||
fprintf(stdout, "done %s\n", out_path);
|
||||
} else {
|
||||
fprintf(stdout, "error process-failed\n");
|
||||
|
|
@ -262,16 +269,115 @@ int main(int argc, char **argv) {
|
|||
return 0;
|
||||
}
|
||||
|
||||
if (argc >= 4 && !strcmp(argv[1], "--binary")) {
|
||||
return process_one_bin(argv[2], argv[3]);
|
||||
}
|
||||
if (argc < 3) {
|
||||
fprintf(stderr,
|
||||
"usage: %s <input.portal> <output.portal>\n"
|
||||
" %s --binary <input.bin> <output.bin>\n"
|
||||
" %s --daemon (read commands on stdin)\n",
|
||||
argv[0], argv[0]);
|
||||
argv[0], argv[0], argv[0]);
|
||||
return 1;
|
||||
}
|
||||
return process_one(argv[1], argv[2]);
|
||||
}
|
||||
|
||||
/* Binary format:
|
||||
* in: u32 out_bytes | u32 n | (u32 len | len bytes) × n
|
||||
* out: u32 n | u32 out_bytes | (out_bytes bytes) × n
|
||||
*
|
||||
* Eliminates the hex-string parse + emit overhead. At 262 MB workloads
|
||||
* we measured 421 sec parsing 524 MB of hex text; binary skips that
|
||||
* entirely. */
|
||||
static int process_one_bin(const char *in_path, const char *out_path) {
|
||||
struct timespec t0, t1, t2, t3, t4;
|
||||
clock_gettime(CLOCK_MONOTONIC, &t0);
|
||||
|
||||
FILE *f = fopen(in_path, "rb");
|
||||
if (!f) { perror(in_path); return 1; }
|
||||
fseek(f, 0, SEEK_END); long sz = ftell(f); fseek(f, 0, SEEK_SET);
|
||||
uint8_t *buf = (uint8_t*)malloc(sz);
|
||||
if (fread(buf, 1, sz, f) != (size_t)sz) { perror(in_path); return 1; }
|
||||
fclose(f);
|
||||
|
||||
uint32_t out_bytes, n;
|
||||
memcpy(&out_bytes, buf, 4);
|
||||
memcpy(&n, buf + 4, 4);
|
||||
/* slice into offsets / lengths */
|
||||
uint32_t *offsets = (uint32_t*)malloc(n * sizeof(uint32_t));
|
||||
uint32_t *lengths = (uint32_t*)malloc(n * sizeof(uint32_t));
|
||||
size_t cur = 8;
|
||||
size_t data_off = 0;
|
||||
/* one pass: collect lengths, compute offsets in a separate flat array */
|
||||
size_t total = 0;
|
||||
for (uint32_t i = 0; i < n; i++) {
|
||||
if (cur + 4 > (size_t)sz) {
|
||||
fprintf(stderr, "%s: truncated at input %u\n", in_path, i); return 1;
|
||||
}
|
||||
uint32_t L; memcpy(&L, buf + cur, 4); cur += 4;
|
||||
if (cur + L > (size_t)sz) {
|
||||
fprintf(stderr, "%s: bad length at input %u\n", in_path, i); return 1;
|
||||
}
|
||||
offsets[i] = (uint32_t)data_off;
|
||||
lengths[i] = L;
|
||||
data_off += L;
|
||||
cur += L;
|
||||
}
|
||||
total = data_off;
|
||||
/* flat array — just point at the buf bytes via offsets relative to start */
|
||||
uint8_t *flat = (uint8_t*)malloc(total ? total : 1);
|
||||
cur = 8;
|
||||
size_t fcur = 0;
|
||||
for (uint32_t i = 0; i < n; i++) {
|
||||
uint32_t L = lengths[i];
|
||||
cur += 4;
|
||||
memcpy(flat + fcur, buf + cur, L);
|
||||
cur += L; fcur += L;
|
||||
}
|
||||
free(buf);
|
||||
clock_gettime(CLOCK_MONOTONIC, &t1);
|
||||
|
||||
uint8_t *d_in; uint32_t *d_off, *d_len; uint8_t *d_out;
|
||||
CUDA_CHECK(cudaMalloc(&d_in, total ? total : 1));
|
||||
CUDA_CHECK(cudaMalloc(&d_off, n * sizeof(uint32_t)));
|
||||
CUDA_CHECK(cudaMalloc(&d_len, n * sizeof(uint32_t)));
|
||||
CUDA_CHECK(cudaMalloc(&d_out, (size_t)n * out_bytes));
|
||||
CUDA_CHECK(cudaMemcpy(d_in, flat, total ? total : 1, cudaMemcpyHostToDevice));
|
||||
CUDA_CHECK(cudaMemcpy(d_off, offsets, n * sizeof(uint32_t), cudaMemcpyHostToDevice));
|
||||
CUDA_CHECK(cudaMemcpy(d_len, lengths, n * sizeof(uint32_t), cudaMemcpyHostToDevice));
|
||||
clock_gettime(CLOCK_MONOTONIC, &t2);
|
||||
|
||||
int threads = 64;
|
||||
int blocks = (n + threads - 1) / threads;
|
||||
shake_fanout_kernel<<<blocks, threads>>>(d_in, d_off, d_len, d_out, out_bytes, n);
|
||||
CUDA_CHECK(cudaGetLastError());
|
||||
CUDA_CHECK(cudaDeviceSynchronize());
|
||||
clock_gettime(CLOCK_MONOTONIC, &t3);
|
||||
|
||||
uint8_t *h_out = (uint8_t*)malloc((size_t)n * out_bytes);
|
||||
CUDA_CHECK(cudaMemcpy(h_out, d_out, (size_t)n * out_bytes, cudaMemcpyDeviceToHost));
|
||||
|
||||
FILE *fo = fopen(out_path, "wb");
|
||||
if (!fo) { perror(out_path); return 1; }
|
||||
fwrite(&n, 4, 1, fo);
|
||||
fwrite(&out_bytes, 4, 1, fo);
|
||||
fwrite(h_out, 1, (size_t)n * out_bytes, fo);
|
||||
fclose(fo);
|
||||
clock_gettime(CLOCK_MONOTONIC, &t4);
|
||||
|
||||
double ld_ms = (t1.tv_sec - t0.tv_sec) * 1e3 + (t1.tv_nsec - t0.tv_nsec) / 1e6;
|
||||
double launch_ms = (t2.tv_sec - t1.tv_sec) * 1e3 + (t2.tv_nsec - t1.tv_nsec) / 1e6;
|
||||
double kern_ms = (t3.tv_sec - t2.tv_sec) * 1e3 + (t3.tv_nsec - t2.tv_nsec) / 1e6;
|
||||
double write_ms = (t4.tv_sec - t3.tv_sec) * 1e3 + (t4.tv_nsec - t3.tv_nsec) / 1e6;
|
||||
fprintf(stderr, " bin: load=%.1f launch=%.1f kernel=%.2f write=%.1f ms (n=%u, %.0f MB)\n",
|
||||
ld_ms, launch_ms, kern_ms, write_ms, n, total / 1e6);
|
||||
|
||||
cudaFree(d_in); cudaFree(d_off); cudaFree(d_len); cudaFree(d_out);
|
||||
free(offsets); free(lengths); free(flat); free(h_out);
|
||||
return 0;
|
||||
}
|
||||
|
||||
static int process_one(const char *in_path, const char *out_path) {
|
||||
struct timespec t0, t1, t2, t3, t4;
|
||||
clock_gettime(CLOCK_MONOTONIC, &t0);
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue