feat: add pcs benchmark

plonkish_backend/Cargo.toml

@@ -45,3 +45,8 @@ sanity-check = []
 name = "zero_check"
 harness = false
 required-features = ["benchmark"]
+
+[[bench]]
+name = "pcs"
+harness = false
+required-features = ["benchmark"]

plonkish_backend/benches/pcs.rs

@@ -0,0 +1,127 @@
+use criterion::{
+    black_box, criterion_group, criterion_main, measurement::Measurement, BenchmarkGroup,
+    BenchmarkId, Criterion,
+};
+use halo2_curves::bn256::{Bn256, Fr, G1Affine};
+use plonkish_backend::{
+    pcs::{
+        multilinear::{
+            Gemini, MultilinearBrakedown, MultilinearHyrax, MultilinearIpa, MultilinearKzg,
+            Zeromorph,
+        },
+        univariate::UnivariateKzg,
+        Point, PolynomialCommitmentScheme,
+    },
+    poly::Polynomial,
+    util::{
+        arithmetic::PrimeField,
+        code::BrakedownSpec6,
+        hash::Keccak256,
+        test::std_rng,
+        transcript::{InMemoryTranscript, Keccak256Transcript, TranscriptWrite},
+    },
+};
+use std::{any::type_name, io::Cursor, ops::Range};
+
+const NUM_VARS_RANGE: Range<usize> = 16..21;
+
+fn pcs_name<Pcs>() -> &'static str {
+    type_name::<Pcs>()
+        .split("::")
+        .find(|s| s.chars().next().unwrap().is_uppercase())
+        .unwrap()
+        .split('<')
+        .next()
+        .unwrap()
+}
+
+#[allow(clippy::type_complexity)]
+fn prepare<F, Pcs>(
+    k: usize,
+) -> (
+    Pcs::ProverParam,
+    Pcs::Polynomial,
+    Pcs::Commitment,
+    Point<F, Pcs::Polynomial>,
+    F,
+)
+where
+    F: PrimeField,
+    Pcs: PolynomialCommitmentScheme<F>,
+{
+    let n = 1 << k;
+    let mut rng = std_rng();
+    let param = Pcs::setup(n, 1, &mut rng).unwrap();
+    let (pp, _) = Pcs::trim(&param, n, 1).unwrap();
+    let poly = Pcs::Polynomial::rand(n, &mut rng);
+    let comm = Pcs::commit(&pp, &poly).unwrap();
+    let point = Pcs::Polynomial::rand_point(k, &mut rng);
+    let eval = poly.evaluate(&point);
+    (pp, poly, comm, point, eval)
+}
+
+fn commit<F, Pcs>(group: &mut BenchmarkGroup<impl Measurement>)
+where
+    F: PrimeField,
+    Pcs: PolynomialCommitmentScheme<F>,
+{
+    let name = pcs_name::<Pcs>();
+    for k in NUM_VARS_RANGE {
+        let (pp, poly, _, _, _) = prepare::<F, Pcs>(k);
+        group.bench_with_input(BenchmarkId::new(name, k), &k, |b, _| {
+            b.iter(|| Pcs::commit(black_box(&pp), black_box(&poly)).unwrap())
+        });
+    }
+}
+
+fn open<F, Pcs>(group: &mut BenchmarkGroup<impl Measurement>)
+where
+    F: PrimeField,
+    Pcs: PolynomialCommitmentScheme<F>,
+    Keccak256Transcript<Cursor<Vec<u8>>>: TranscriptWrite<Pcs::CommitmentChunk, F>,
+{
+    let name = pcs_name::<Pcs>();
+    for k in NUM_VARS_RANGE {
+        let (pp, poly, comm, point, eval) = prepare::<F, Pcs>(k);
+        group.bench_with_input(BenchmarkId::new(name, k), &k, |b, _| {
+            b.iter(|| {
+                Pcs::open(
+                    black_box(&pp),
+                    black_box(&poly),
+                    black_box(&comm),
+                    black_box(&point),
+                    black_box(&eval),
+                    black_box(&mut Keccak256Transcript::new(())),
+                )
+                .unwrap()
+            })
+        });
+    }
+}
+
+fn bench_commit(c: &mut Criterion) {
+    let mut group = c.benchmark_group("commit");
+    group.sample_size(10);
+
+    commit::<_, MultilinearBrakedown<Fr, Keccak256, BrakedownSpec6>>(&mut group);
+    commit::<_, MultilinearKzg<Bn256>>(&mut group);
+    commit::<_, MultilinearIpa<G1Affine>>(&mut group);
+    commit::<_, MultilinearHyrax<G1Affine>>(&mut group);
+    commit::<_, Gemini<UnivariateKzg<Bn256>>>(&mut group);
+    commit::<_, Zeromorph<UnivariateKzg<Bn256>>>(&mut group);
+}
+
+fn bench_open(c: &mut Criterion) {
+    let mut group = c.benchmark_group("open");
+    group.sample_size(10);
+
+    open::<_, MultilinearBrakedown<Fr, Keccak256, BrakedownSpec6>>(&mut group);
+    open::<_, MultilinearKzg<Bn256>>(&mut group);
+    open::<_, MultilinearIpa<G1Affine>>(&mut group);
+    open::<_, MultilinearHyrax<G1Affine>>(&mut group);
+    open::<_, Gemini<UnivariateKzg<Bn256>>>(&mut group);
+    open::<_, Zeromorph<UnivariateKzg<Bn256>>>(&mut group);
+}
+
+criterion_group!(benches, bench_commit, bench_open);
+criterion_main!(benches);

plonkish_backend/src/poly.rs

@@ -14,4 +14,12 @@ pub trait Polynomial<F: Field>: Clone + Debug + for<'a> AddAssign<(&'a F, &'a Se
     fn evals(&self) -> &[F];
 
     fn evaluate(&self, point: &Self::Point) -> F;
+
+    #[cfg(any(test, feature = "benchmark"))]
+    fn rand(n: usize, rng: &mut impl rand::RngCore) -> Self {
+        Self::from_evals(crate::util::test::rand_vec(n, rng))
+    }
+
+    #[cfg(any(test, feature = "benchmark"))]
+    fn rand_point(k: usize, rng: &mut impl rand::RngCore) -> Self::Point;
 }

plonkish_backend/src/poly/multilinear.rs

@@ -80,6 +80,11 @@ impl<F: Field> Polynomial<F> for MultilinearPolynomial<F> {
     fn evaluate(&self, point: &Self::Point) -> F {
         MultilinearPolynomial::evaluate(self, point.as_slice())
     }
+
+    #[cfg(any(test, feature = "benchmark"))]
+    fn rand_point(k: usize, rng: &mut impl rand::RngCore) -> Self::Point {
+        crate::util::test::rand_vec(k, rng)
+    }
 }
 
 impl<F: Field> MultilinearPolynomial<F> {

plonkish_backend/src/poly/univariate.rs

@@ -81,6 +81,11 @@ impl<F: Field> Polynomial<F> for UnivariatePolynomial<F, CoefficientBasis> {
     fn evaluate(&self, point: &Self::Point) -> F {
         UnivariatePolynomial::evaluate(self, point)
     }
+
+    #[cfg(any(test, feature = "benchmark"))]
+    fn rand_point(_: usize, rng: &mut impl rand::RngCore) -> F {
+        F::random(rng)
+    }
 }
 
 impl<F: Field> UnivariatePolynomial<F, CoefficientBasis> {