Remove Mutex from evaluation loop

src/evaluate.rs

@@ -2,6 +2,8 @@
 //! Works asynchronously when possible
 
 use atomicmin::AtomicMin;
+use std::sync::atomic::AtomicUsize;
+use std::sync::atomic::Ordering::SeqCst;
 use deflate;
 use Deadline;
 use png::PngData;
@@ -13,24 +15,40 @@ use png::STD_WINDOW;
 use rayon::prelude::*;
 use std::sync::mpsc::*;
 use std::sync::Arc;
-use std::sync::Mutex;
 use std::thread;
+use rayon;
+
+struct Candidate {
+    image: PngData,
+    // compressed size multiplier. Fudge factor to prefer more promising formats.
+    bias: f32,
+    // if false, that's baseline file to throw away
+    is_reduction: bool,
+    filter: u8,
+    // first wins tie-breaker
+    nth: usize,
+}
 
 /// Collect image versions and pick one that compresses best
 pub(crate) struct Evaluator {
+    deadline: Arc<Deadline>,
+    nth: AtomicUsize,
+    best_candidate_size: Arc<AtomicMin>,
     /// images are sent to the thread for evaluation
-    eval_send: Option<SyncSender<(Arc<PngImage>, f32, bool)>>,
+    eval_send: Option<SyncSender<Candidate>>,
     // the thread helps evaluate images asynchronously
     eval_thread: thread::JoinHandle<Option<PngData>>,
 }
 
 impl Evaluator {
     pub fn new(deadline: Arc<Deadline>) -> Self {
-        // queue size ensures we're not using too much memory for pending reductions
         let (tx, rx) = sync_channel(4);
         Self {
+            deadline,
+            best_candidate_size: Arc::new(AtomicMin::new(None)),
+            nth: AtomicUsize::new(0),
             eval_send: Some(tx),
-            eval_thread: thread::spawn(move || Self::evaluate_images(rx, deadline)),
+            eval_thread: thread::spawn(move || Self::evaluate_images(rx)),
         }
     }
 
@@ -54,60 +72,78 @@ impl Evaluator {
     }
 
     fn try_image_inner(&self, image: Arc<PngImage>, bias: f32, is_reduction: bool) {
-        self.eval_send.as_ref().expect("not finished yet").send((image, bias, is_reduction)).expect("send")
-    }
-
-    /// Main loop of evaluation thread
-    fn evaluate_images(from_channel: Receiver<(Arc<PngImage>, f32, bool)>, deadline: Arc<Deadline>) -> Option<PngData> {
-        let best_candidate_size = AtomicMin::new(None);
-        let best_result: Mutex<Option<(PngData, _, _)>> = Mutex::new(None);
-        // ends when sender is dropped
-        for (nth, (image, bias, is_reduction)) in from_channel.iter().enumerate() {
+        let nth = self.nth.fetch_add(1, SeqCst);
+        // These clones are only cheap refcounts
+        let deadline = self.deadline.clone();
+        let best_candidate_size = self.best_candidate_size.clone();
+        // sends it off asynchronously for compression,
+        // but results will be collected via the message queue
+        let eval_send = self.eval_send.clone();
+        rayon::spawn(move || {
             let filters_iter = STD_FILTERS.par_iter().with_max_len(1);
 
-            filters_iter.for_each(|&f| {
+            // Updating of best result inside the parallel loop would require locks,
+            // which are dangerous to do in side Rayon's loop.
+            // Instead, only update (atomic) best size in real time,
+            // and the best result later without need for locks.
+            filters_iter.for_each(|&filter| {
                 if deadline.passed() {
                     return;
                 }
                 if let Ok(idat_data) = deflate::deflate(
-                    &image.filter_image(f),
+                    &image.filter_image(filter),
                     STD_COMPRESSION,
                     STD_STRATEGY,
                     STD_WINDOW,
                     &best_candidate_size,
                     &deadline,
                 ) {
-                    let mut res = best_result.lock().unwrap();
-                    if best_candidate_size.get().map_or(true, |old_best_len| {
-                        let new_len = (idat_data.len() as f64 * bias as f64) as usize;
-                        // a tie-breaker is required to make evaluation deterministic
-                        if let Some(res) = res.as_ref() {
-                            // choose smallest compressed, or if compresses the same, smallest uncompressed, or cheaper filter
-                            let old_img = &res.0.raw;
-                            let new = (new_len, image.data.len(), image.ihdr.bit_depth, f, nth);
-                            let old = (old_best_len, old_img.data.len(), old_img.ihdr.bit_depth, res.1, res.2);
-                            new < old
-                        } else if new_len < old_best_len {
-                            true
-                        } else {
-                            false
-                        }
-                    }) {
-                        best_candidate_size.set_min(idat_data.len());
-                        *res = if is_reduction {
-                            Some((PngData {
-                                idat_data,
-                                raw: Arc::clone(&image),
-                            }, f, nth))
-                        } else {
-                            None
-                        };
-                    }
+                    best_candidate_size.set_min(idat_data.len());
+                    // the rest is shipped to the evavluation/collection thread
+                    eval_send.as_ref().expect("not finished yet").send(Candidate {
+                        image: PngData {
+                            idat_data,
+                            raw: Arc::clone(&image),
+                        },
+                        bias,
+                        filter,
+                        is_reduction,
+                        nth,
+                    }).expect("send");
                 }
             });
+        });
+    }
+
+    /// Main loop of evaluation thread
+    fn evaluate_images(from_channel: Receiver<Candidate>) -> Option<PngData> {
+        let mut best_result: Option<Candidate> = None;
+        // ends when the last sender is dropped
+        for new in from_channel.iter() {
+            // a tie-breaker is required to make evaluation deterministic
+            let is_best = if let Some(ref old) = best_result {
+                // ordering is important - later file gets to use bias over earlier, but not the other way
+                // (this way bias=0 replaces, but doesn't forbid later optimizations)
+                let new_len = (new.image.idat_data.len() as f64 * if new.nth > old.nth {new.bias as f64} else {1.0}) as usize;
+                let old_len = (old.image.idat_data.len() as f64 * if new.nth < old.nth {old.bias as f64} else {1.0}) as usize;
+                // choose smallest compressed, or if compresses the same, smallest uncompressed, or cheaper filter
+                let new = (new_len, new.image.raw.data.len(), new.image.raw.ihdr.bit_depth, new.filter, new.nth);
+                let old = (old_len, old.image.raw.data.len(), old.image.raw.ihdr.bit_depth, old.filter, old.nth);
+                // <= instead of < is important, because best_candidate_size has been set already,
+                // so the current result may be comparing its size with itself
+                new <= old
+            } else {
+                true
+            };
+            if is_best {
+                best_result = if new.is_reduction {
+                    Some(new)
+                } else {
+                    None
+                };
+            }
         }
-        best_result.into_inner().expect("filters should be done")
-            .map(|(img, _, _)| img)
+        best_result.map(|res| res.image)
     }
 }
 

src/rayon.rs

@@ -51,3 +51,7 @@ impl<I: Iterator> ParallelIterator for I {
 pub fn join<A, B>(a: impl FnOnce() -> A, b: impl FnOnce() -> B) -> (A, B) {
     (a(), b())
 }
+
+pub fn spawn(a: impl FnOnce() -> A) -> A {
+    a()
+}