Markk116/smarm
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
2b85ef60b2a440edadf4a6e63867faa542042a18
smarm/benches/baseline-output/sweep/ai32_tc150k.txt
Bench 3da6ffaa77 benches: expose preemption knobs + sweep runner 
Config API changes (src/preempt.rs, src/runtime.rs):
- preempt: promote ALLOC_INTERVAL and TIMESLICE_CYCLES from bare consts to
  DEFAULT_ALLOC_INTERVAL / DEFAULT_TIMESLICE_CYCLES; store active values in
  thread-locals set on each actor resume so multiple runtimes can use
  different settings concurrently.
- runtime: add alloc_interval / timeslice_cycles fields to Config; add
  Config::alloc_interval(n) and Config::timeslice_cycles(c) builder methods;
  thread the values through RuntimeInner to the reset_timeslice() call in
  schedule_loop.

Bench changes:
- Add bench_cfg(threads) helper to general/tokio_favored/smarm_favored that
  wraps Config::exact and reads SMARM_ALLOC_INTERVAL / SMARM_TIMESLICE_CYCLES
  env vars, so the sweep script can vary knobs without recompiling.

Sweep tooling (benches/sweep.py):
- 'run':     run the 3-file bench suite once; --save-baseline persists JSON
- 'regress': compare current run against baseline.json, exit 1 on any bench
             that regresses >10% vs stored medians
- 'sweep':   run the full SWEEP_GRID (10 points), print comparison table,
             optional --save-csv; binaries pre-built so no recompile per point

Sweep results (10-point grid, 1-CPU sandbox):
- The preemption knobs have very little effect on this single-CPU machine.
  Most benches move <5% across the entire grid.
- Longer timeslices (tc=600k, tc=1200k) reliably hurt spawn_storm_busy
  (+11-15%) and catch_unwind_panics (+10-12%) because actors hold the
  scheduler mutex longer per timeslice, stalling the storm of joinable tasks.
- Shorter timeslices (tc=150k) give a small improvement on many_timers
  (-3-4%) and a wash everywhere else.
- yield_in_hot_loop and uncontended_channel are essentially flat across all
  knobs — both are scheduling-dominated and call yield_now explicitly, so
  the RDTSC-driven preemption path is irrelevant.
- Conclusion: the knobs matter primarily under contention (multi-core).
  Re-run sweep on a multi-core machine before drawing tuning conclusions.
2026-05-25 13:04:58 +00:00

127 lines
8.3 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

smarm general benchmarks
available parallelism: 1 threads
ITERS=15 (+1 warmup, discarded)
CHAIN_DEPTH=1000, YIELD_TASKS=200×1000, PRIME_N=400000/64 workers, PP_ROUNDS=1000
================================================================================
chained_spawn: depth 1000
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 1000 | 8653 | 8522 | 9163
smarm 1-thread | 1000 | 8908 | 8660 | 10606
tokio current_thread | 1000 | 124 | 123 | 175
tokio multi-thread | 1000 | 244 | 184 | 340
================================================================================
yield_many: 200 tasks × 1000 yields
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 200000 | 42597 | 41857 | 43492
smarm 1-thread | 200000 | 42621 | 42097 | 44386
tokio current_thread | 200000 | 15368 | 15144 | 16484
tokio multi-thread | 200000 | 16120 | 16012 | 19222
================================================================================
fan_out_compute: primes in [2, 400000) across 64
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 33860 | 30499 | 29657 | 33910
smarm 1-thread | 33860 | 31190 | 30105 | 32675
tokio current_thread | 33860 | 28748 | 28643 | 29398
tokio multi-thread | 33860 | 34714 | 34499 | 36338
================================================================================
ping_pong_oneshot: 1000 rounds
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 1000 | 16990 | 16853 | 17540
smarm 1-thread | 1000 | 16944 | 16740 | 18603
tokio current_thread | 1000 | 937 | 921 | 1056
tokio multi-thread | 1000 | 4342 | 4205 | 4549
smarm tokio-favored benchmarks
available parallelism: 1 threads
ITERS=15 (+1 warmup, discarded)
STORM_BACKGROUND=8, STORM_SPAWN=10000, MPSC=32×10000, TIMER_ACTORS=10000 (1–10 ms), SCALING_N=400000/64
================================================================================
spawn_storm_busy: 8 bg yielders + 10000 zero-work spawns
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 10000 | 130032 | 128075 | 153842
smarm 1-thread | 10000 | 126396 | 125101 | 131406
tokio current_thread | 10000 | 2685 | 2629 | 2841
tokio multi-thread | 10000 | 6014 | 4126 | 11484
================================================================================
mpsc_contention: 32 producers × 10000 msgs → 1 consumer
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 320000 | 9122 | 8987 | 9334
smarm 1-thread | 320000 | 9073 | 8956 | 10151
tokio current_thread | 320000 | 17259 | 17163 | 17673
tokio multi-thread | 320000 | 22771 | 17709 | 24514
================================================================================
many_timers: 10000 actors sleeping 1–10 ms
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 10000 | 137844 | 134570 | 157034
smarm 1-thread | 10000 | 141200 | 137494 | 156214
tokio current_thread | 10000 | 14809 | 14024 | 16518
tokio multi-thread | 10000 | 15089 | 14704 | 15331
================================================================================
multi_thread_scaling: primes in [2, 400000) across 64 workers
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 33860 | 30880 | 29931 | 32667
tokio multi 1-thread | 33860 | 29862 | 29116 | 31310
smarm smarm-favored benchmarks
available parallelism: 1 threads
ITERS=15 (+1 warmup, discarded)
RECURSE_DEPTH=500, HOT_YIELDS=500000×2, UNCONT_MSGS=1000000, PANIC_TASKS=10000
================================================================================
deep_recursion: depth 500
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 1 | 90 | 80 | 196
smarm 1-thread | 1 | 87 | 79 | 126
tokio current_thread | 1 | 25 | 25 | 53
tokio multi-thread | 1 | 52 | 47 | 88
================================================================================
yield_in_hot_loop: 2 actors × 500000 yields (single thread)
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 1000000 | 191187 | 187194 | 198269
tokio current_thread | 1000000 | 152531 | 151113 | 154462
================================================================================
uncontended_channel: 1→1, 1000000 msgs (single thread)
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 1000000 | 27413 | 27312 | 29463
tokio current_thread | 1000000 | 53620 | 52594 | 55332
================================================================================
catch_unwind_panics: 10000 tasks, 50% panic
================================================================================
runtime | result | median µs | min µs | max µs
--------------------------------------------------------------------------------
smarm 1-thread | 10000 | 144199 | 141893 | 157984
smarm 1-thread | 10000 | 144857 | 142722 | 152275
tokio current_thread | 10000 | 268006 | 264666 | 274542
tokio multi-thread | 10000 | 271827 | 268740 | 290301
Reference in New Issue View Git Blame Copy Permalink