fixed singlecore dense multiexp
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810bb92cee
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@ -37,4 +37,4 @@ default = ["multicore", "gm17", "sonic"]
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multicore = ["futures-cpupool", "num_cpus", "crossbeam"]
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sonic = ["tiny-keccak"]
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gm17 = []
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singlecore = ["futures-cpupool"]
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singlecore = []
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@ -212,16 +212,18 @@ fn dense_multiexp_inner<G: CurveAffine>(
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handle_trivial: bool
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) -> Result<<G as CurveAffine>::Projective, SynthesisError>
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{
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use std::sync::{Mutex};
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// Perform this region of the multiexp. We use a different strategy - go over region in parallel,
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// then over another region, etc. No Arc required
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let this = {
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// let mask = (1u64 << c) - 1u64;
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let this_region =
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let this_region = Mutex::new(<G as CurveAffine>::Projective::zero());
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let arc = Arc::new(this_region);
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pool.scope(bases.len(), |scope, chunk| {
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let mut handles = vec![];
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let mut this_acc = <G as CurveAffine>::Projective::zero();
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for (base, exp) in bases.chunks(chunk).zip(exponents.chunks(chunk)) {
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let handle =
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let this_region_rwlock = arc.clone();
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// let handle =
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scope.spawn(move |_| {
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let mut buckets = vec![<G as CurveAffine>::Projective::zero(); (1 << c) - 1];
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// Accumulate the result
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@ -261,33 +263,22 @@ fn dense_multiexp_inner<G: CurveAffine>(
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acc.add_assign(&running_sum);
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}
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// acc contains values over this region
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// s.send(acc).expect("must send result");
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acc
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let mut guard = match this_region_rwlock.lock() {
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Ok(guard) => guard,
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Err(poisoned) => {
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panic!("poisoned!");
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// poisoned.into_inner()
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}
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};
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(*guard).add_assign(&acc);
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});
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handles.push(handle);
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}
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// wait for all threads to finish
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for r in handles.into_iter() {
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let thread_result = r.join().unwrap();
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this_acc.add_assign(&thread_result);
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}
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this_acc
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});
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// let mut this_region = <G as CurveAffine>::Projective::zero();
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// loop {
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// if r.is_empty() {
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// break;
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// }
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// let value = r.recv().expect("must have value");
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// this_region.add_assign(&value);
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// }
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let this_region = Arc::try_unwrap(arc).unwrap();
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let this_region = this_region.into_inner().unwrap();
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this_region
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};
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@ -392,12 +383,15 @@ fn test_dense_multiexp() {
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use pairing::bn256::Bn256;
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use num_cpus;
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const SAMPLES: usize = 1 << 22;
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// const SAMPLES: usize = 1 << 22;
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const SAMPLES: usize = 1 << 16;
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let rng = &mut XorShiftRng::from_seed([0x3dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
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let mut v = (0..SAMPLES).map(|_| <Bn256 as ScalarEngine>::Fr::rand(rng).into_repr()).collect::<Vec<_>>();
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let g = (0..SAMPLES).map(|_| <Bn256 as Engine>::G1::rand(rng).into_affine()).collect::<Vec<_>>();
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println!("Done generating test points and scalars");
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let pool = Worker::new();
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let start = std::time::Instant::now();
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@ -1,17 +1,15 @@
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//! This is a dummy interface to substitute multicore worker
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//! in environments like WASM
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extern crate futures;
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extern crate futures_cpupool;
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use std::marker::PhantomData;
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use self::futures::{Future, IntoFuture, Poll};
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use self::futures_cpupool::{CpuFuture, CpuPool};
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use self::futures::future::{result, FutureResult};
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#[derive(Clone)]
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pub struct Worker {
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cpus: usize,
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pool: CpuPool
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}
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impl Worker {
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@ -21,7 +19,6 @@ impl Worker {
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pub(crate) fn new_with_cpus(cpus: usize) -> Worker {
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Worker {
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cpus: 1,
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pool: CpuPool::new(1)
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}
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}
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@ -42,8 +39,10 @@ impl Worker {
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R::Item: Send + 'static,
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R::Error: Send + 'static
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{
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let future = f().into_future();
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WorkerFuture {
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future: self.pool.spawn_fn(f)
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future: result(future.wait())
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}
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}
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@ -80,7 +79,7 @@ impl<'a> Scope<'a> {
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}
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pub struct WorkerFuture<T, E> {
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future: CpuFuture<T, E>
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future: FutureResult<T, E>
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}
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impl<T: Send + 'static, E: Send + 'static> Future for WorkerFuture<T, E> {
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