benches: baseline results

Two compile fixes:
- tokio_favored.rs bench_mpsc_smarm: consumer spawn closure returned u64 via
  bare 'count' tail expression; smarm::Runtime::run() requires FnOnce()->().
  Fixed to 'let _ = count;'. Same fix on the consumer.join() call site.
- smarm_favored.rs bench_unc_smarm: same pattern, same fix.

Baseline run: Intel Xeon @ 2.80GHz, 1 core, kernel 6.18.5, rustc 1.95.0,
smarm 0.3.0, no RUSTFLAGS. Single-CPU sandbox — N-thread rows identical to
1-thread; scaling sweep limited to 1 thread.

Notable findings:
- deep_recursion: tokio wins (22 vs 62 us); mmap stack alloc cost dominates
  for single-use actors at depth 500.
- yield_in_hot_loop: tokio wins (138 vs 182 ms); smarm mutex overhead on
  yield_now exceeds expected naked-switch advantage on 1 CPU.
- mpsc_contention/uncontended_channel/catch_unwind_panics: smarm wins as
  predicted.
- spawn_storm_busy: smarm 47x slower; global mutex saturated by bg yielders.
This commit is contained in:
Bench
2026-05-24 10:49:23 +00:00
committed by smarm
parent 4b348d12be
commit 6d1c59fb99
8 changed files with 1205 additions and 0 deletions

391
benches/smarm_favored.rs Normal file
View File

@@ -0,0 +1,391 @@
//! Benchmarks where smarm's design has a structural advantage.
//!
//! These exist to show what the green-thread + stackful model buys you. The
//! single-thread numbers are the most interesting ones — they isolate the
//! per-switch / per-task cost from any contention story.
//!
//! Workloads:
//! 9. deep_recursion — actor recurses 1000 deep then returns. In
//! smarm this is plain stack recursion on the
//! growable mmap'd stack. In tokio, async fn
//! can't directly recurse — each level must
//! `Box::pin` its future. We measure both.
//! 10. yield_in_hot_loop — 2 actors ping yield_now back and forth 500k
//! times. Pure context-switch cost; no
//! channels, no allocation, no contention.
//! Smarm's switch is ~6 GPRs + xmm save and a
//! `ret`; tokio's is poll → state-machine →
//! schedule.
//! 11. uncontended_channel — single producer, single consumer, 1M msgs,
//! single-threaded runtime. With no
//! cross-thread contention, smarm's
//! Arc<Mutex<>> channel is essentially free,
//! and the green-thread switch should beat
//! tokio's future polling overhead.
//! 12. catch_unwind_panics — spawn 10k tasks; half panic, half succeed.
//! Supervisor handles each. Exploratory — if
//! there's no real gap, drop this one.
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::Arc;
use std::time::Instant;
// ---------------------------------------------------------------------------
// Shared harness
// ---------------------------------------------------------------------------
const ITERS: u32 = 15;
fn available_threads() -> usize {
std::thread::available_parallelism().map(|n| n.get()).unwrap_or(1)
}
fn print_header(title: &str) {
println!("\n{}", "=".repeat(80));
println!(" {title}");
println!("{}", "=".repeat(80));
println!(
"{:>26} | {:>12} | {:>10} | {:>10} | {:>10}",
"runtime", "result", "median µs", "min µs", "max µs"
);
println!("{}", "-".repeat(80));
}
fn run_n<F: FnMut() -> (u64, u128)>(name: &str, n: u32, mut f: F) {
let mut times = Vec::new();
let mut last = 0u64;
let _ = f(); // warmup
for _ in 0..n {
let (v, t) = f();
times.push(t);
last = v;
}
times.sort_unstable();
let median = times[times.len() / 2];
let min = *times.iter().min().unwrap();
let max = *times.iter().max().unwrap();
println!(
"{:>26} | {:>12} | {:>10} | {:>10} | {:>10}",
name, last, median, min, max
);
}
// ---------------------------------------------------------------------------
// 9. deep_recursion — 1000 levels deep
// ---------------------------------------------------------------------------
// Each recursive frame holds an `&AtomicU64`, a `u64`, plus prologue/spill —
// conservatively ~64 B/frame on release. Smarm actor stacks are a fixed 64 KiB,
// so 500 levels (~32 KiB) leaves comfortable headroom while still being deep
// enough to exercise the stack-growth advantage over Box::pin recursion.
const RECURSE_DEPTH: u64 = 500;
fn bench_recurse_smarm(threads: usize) -> (u64, u128) {
let total = Arc::new(AtomicU64::new(0));
let t2 = total.clone();
let start = Instant::now();
smarm::runtime::init(smarm::runtime::Config::exact(threads)).run(move || {
// Plain Rust recursion on the actor's own (growable) stack.
fn recurse(c: &AtomicU64, n: u64) -> u64 {
if n == 0 {
c.fetch_add(1, Ordering::Relaxed);
0
} else {
1 + recurse(c, n - 1)
}
}
let h = smarm::spawn(move || {
let _ = recurse(&t2, RECURSE_DEPTH);
});
h.join().unwrap();
});
(total.load(Ordering::Relaxed), start.elapsed().as_micros())
}
fn bench_recurse_tokio_current() -> (u64, u128) {
let counter = Arc::new(AtomicU64::new(0));
let c2 = counter.clone();
let rt = tokio::runtime::Builder::new_current_thread().build().unwrap();
let start = Instant::now();
let local = tokio::task::LocalSet::new();
local.block_on(&rt, async move {
// async fn can't self-recurse; each level returns a Box::pin'd future.
// This is the canonical workaround a real user would write.
fn recurse(
c: Arc<AtomicU64>,
n: u64,
) -> std::pin::Pin<Box<dyn std::future::Future<Output = u64>>> {
Box::pin(async move {
if n == 0 {
c.fetch_add(1, Ordering::Relaxed);
0
} else {
1 + recurse(c, n - 1).await
}
})
}
let h = tokio::task::spawn_local(async move {
let _ = recurse(c2, RECURSE_DEPTH).await;
});
let _ = h.await;
});
(counter.load(Ordering::Relaxed), start.elapsed().as_micros())
}
fn bench_recurse_tokio_multi() -> (u64, u128) {
let counter = Arc::new(AtomicU64::new(0));
let c2 = counter.clone();
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(available_threads())
.build()
.unwrap();
let start = Instant::now();
rt.block_on(async move {
fn recurse(
c: Arc<AtomicU64>,
n: u64,
) -> std::pin::Pin<Box<dyn std::future::Future<Output = u64> + Send>> {
Box::pin(async move {
if n == 0 {
c.fetch_add(1, Ordering::Relaxed);
0
} else {
1 + recurse(c, n - 1).await
}
})
}
let h = tokio::spawn(async move {
let _ = recurse(c2, RECURSE_DEPTH).await;
});
let _ = h.await;
});
(counter.load(Ordering::Relaxed), start.elapsed().as_micros())
}
// ---------------------------------------------------------------------------
// 10. yield_in_hot_loop — 2 actors, 500k yields each, single thread
// ---------------------------------------------------------------------------
const HOT_YIELDS: u64 = 500_000;
fn bench_hot_smarm() -> (u64, u128) {
let start = Instant::now();
smarm::runtime::init(smarm::runtime::Config::exact(1)).run(|| {
let ha = smarm::spawn(|| {
for _ in 0..HOT_YIELDS {
smarm::yield_now();
}
});
let hb = smarm::spawn(|| {
for _ in 0..HOT_YIELDS {
smarm::yield_now();
}
});
ha.join().unwrap();
hb.join().unwrap();
});
(HOT_YIELDS * 2, start.elapsed().as_micros())
}
fn bench_hot_tokio_current() -> (u64, u128) {
let rt = tokio::runtime::Builder::new_current_thread().build().unwrap();
let start = Instant::now();
let local = tokio::task::LocalSet::new();
local.block_on(&rt, async move {
let ha = tokio::task::spawn_local(async move {
for _ in 0..HOT_YIELDS {
tokio::task::yield_now().await;
}
});
let hb = tokio::task::spawn_local(async move {
for _ in 0..HOT_YIELDS {
tokio::task::yield_now().await;
}
});
let _ = ha.await;
let _ = hb.await;
});
(HOT_YIELDS * 2, start.elapsed().as_micros())
}
// ---------------------------------------------------------------------------
// 11. uncontended_channel — 1 producer, 1 consumer, 1M msgs, single-threaded
// ---------------------------------------------------------------------------
const UNCONT_MSGS: u64 = 1_000_000;
fn bench_unc_smarm() -> (u64, u128) {
let start = Instant::now();
smarm::runtime::init(smarm::runtime::Config::exact(1)).run(|| {
let (tx, rx) = smarm::channel::<u64>();
let consumer = smarm::spawn(move || {
let mut count = 0u64;
while let Ok(_) = rx.recv() {
count += 1;
}
let _ = count; // discard; run() closure must return ()
});
let producer = smarm::spawn(move || {
for i in 0..UNCONT_MSGS {
tx.send(i).unwrap();
}
// tx drops here, closing the channel.
});
producer.join().unwrap();
let _ = consumer.join().unwrap();
});
(UNCONT_MSGS, start.elapsed().as_micros())
}
fn bench_unc_tokio_current() -> (u64, u128) {
let rt = tokio::runtime::Builder::new_current_thread().build().unwrap();
let start = Instant::now();
let local = tokio::task::LocalSet::new();
local.block_on(&rt, async move {
let (tx, mut rx) = tokio::sync::mpsc::unbounded_channel::<u64>();
let consumer = tokio::task::spawn_local(async move {
let mut count = 0u64;
while let Some(_) = rx.recv().await {
count += 1;
}
count
});
let producer = tokio::task::spawn_local(async move {
for i in 0..UNCONT_MSGS {
tx.send(i).unwrap();
}
});
let _ = producer.await;
let _ = consumer.await;
});
(UNCONT_MSGS, start.elapsed().as_micros())
}
// ---------------------------------------------------------------------------
// 12. catch_unwind_panics — 10k tasks, half panic
// ---------------------------------------------------------------------------
const PANIC_TASKS: u64 = 10_000;
fn bench_panic_smarm(threads: usize) -> (u64, u128) {
let ok = Arc::new(AtomicU64::new(0));
let err = Arc::new(AtomicU64::new(0));
let ok2 = ok.clone();
let err2 = err.clone();
let start = Instant::now();
smarm::runtime::init(smarm::runtime::Config::exact(threads)).run(move || {
let mut handles = Vec::new();
for i in 0..PANIC_TASKS {
handles.push(smarm::spawn(move || {
if i % 2 == 0 {
panic!("planned");
}
}));
}
for h in handles {
match h.join() {
Ok(()) => { ok2.fetch_add(1, Ordering::Relaxed); }
Err(_) => { err2.fetch_add(1, Ordering::Relaxed); }
}
}
});
let total = ok.load(Ordering::Relaxed) + err.load(Ordering::Relaxed);
(total, start.elapsed().as_micros())
}
fn bench_panic_tokio_current() -> (u64, u128) {
let ok = Arc::new(AtomicU64::new(0));
let err = Arc::new(AtomicU64::new(0));
let ok2 = ok.clone();
let err2 = err.clone();
let rt = tokio::runtime::Builder::new_current_thread().build().unwrap();
let start = Instant::now();
let local = tokio::task::LocalSet::new();
local.block_on(&rt, async move {
let mut handles = Vec::new();
for i in 0..PANIC_TASKS {
handles.push(tokio::task::spawn_local(async move {
if i % 2 == 0 {
panic!("planned");
}
}));
}
for h in handles {
match h.await {
Ok(()) => { ok2.fetch_add(1, Ordering::Relaxed); }
Err(_) => { err2.fetch_add(1, Ordering::Relaxed); }
}
}
});
let total = ok.load(Ordering::Relaxed) + err.load(Ordering::Relaxed);
(total, start.elapsed().as_micros())
}
fn bench_panic_tokio_multi() -> (u64, u128) {
let ok = Arc::new(AtomicU64::new(0));
let err = Arc::new(AtomicU64::new(0));
let ok2 = ok.clone();
let err2 = err.clone();
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(available_threads())
.build()
.unwrap();
let start = Instant::now();
rt.block_on(async move {
let mut handles = Vec::new();
for i in 0..PANIC_TASKS {
handles.push(tokio::spawn(async move {
if i % 2 == 0 {
panic!("planned");
}
}));
}
for h in handles {
match h.await {
Ok(()) => { ok2.fetch_add(1, Ordering::Relaxed); }
Err(_) => { err2.fetch_add(1, Ordering::Relaxed); }
}
}
});
let total = ok.load(Ordering::Relaxed) + err.load(Ordering::Relaxed);
(total, start.elapsed().as_micros())
}
// ---------------------------------------------------------------------------
// main
// ---------------------------------------------------------------------------
fn main() {
let n = available_threads();
println!("smarm smarm-favored benchmarks");
println!("available parallelism: {n} threads");
println!("ITERS={ITERS} (+1 warmup, discarded)");
println!(
"RECURSE_DEPTH={RECURSE_DEPTH}, HOT_YIELDS={HOT_YIELDS}×2, \
UNCONT_MSGS={UNCONT_MSGS}, PANIC_TASKS={PANIC_TASKS}"
);
// ---- 9. deep_recursion ----
print_header(&format!("deep_recursion: depth {RECURSE_DEPTH}"));
run_n("smarm 1-thread", ITERS, || bench_recurse_smarm(1));
run_n(&format!("smarm {n}-thread"), ITERS, || bench_recurse_smarm(n));
run_n("tokio current_thread", ITERS, bench_recurse_tokio_current);
run_n("tokio multi-thread", ITERS, bench_recurse_tokio_multi);
// ---- 10. yield_in_hot_loop ----
print_header(&format!("yield_in_hot_loop: 2 actors × {HOT_YIELDS} yields (single thread)"));
run_n("smarm 1-thread", ITERS, bench_hot_smarm);
run_n("tokio current_thread", ITERS, bench_hot_tokio_current);
// ---- 11. uncontended_channel ----
print_header(&format!("uncontended_channel: 1→1, {UNCONT_MSGS} msgs (single thread)"));
run_n("smarm 1-thread", ITERS, bench_unc_smarm);
run_n("tokio current_thread", ITERS, bench_unc_tokio_current);
// ---- 12. catch_unwind_panics ----
print_header(&format!("catch_unwind_panics: {PANIC_TASKS} tasks, 50% panic"));
run_n("smarm 1-thread", ITERS, || bench_panic_smarm(1));
run_n(&format!("smarm {n}-thread"), ITERS, || bench_panic_smarm(n));
run_n("tokio current_thread", ITERS, bench_panic_tokio_current);
run_n("tokio multi-thread", ITERS, bench_panic_tokio_multi);
}