ark_algebra_bench_templates/macros/ec.rs
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#[macro_export]
macro_rules! ec_bench {
($curve_name:expr, $Group:ident) => {
$crate::paste! {
mod [<$Group:lower>] {
use ark_ec::PrimeGroup;
use super::*;
type Scalar = <$Group as PrimeGroup>::ScalarField;
fn rand(c: &mut $crate::criterion::Criterion) {
let name = format!("{}::{}", $curve_name, stringify!($Group));
use ark_std::UniformRand;
let mut rng = ark_std::test_rng();
c.bench_function(
&format!("Sample {name} elements"),
|b| b.iter(|| <$Group>::rand(&mut rng)),
);
}
fn arithmetic(c: &mut $crate::criterion::Criterion) {
use ark_ff::AdditiveGroup;
use ark_ec::{CurveGroup, PrimeGroup};
use ark_std::UniformRand;
let name = format!("{}::{}", $curve_name, stringify!($Group));
type Scalar = <$Group as PrimeGroup>::ScalarField;
const SAMPLES: usize = 1000;
let mut rng = ark_std::test_rng();
let mut arithmetic =
c.benchmark_group(format!("Arithmetic for {name}"));
let group_elements_left = (0..SAMPLES)
.map(|_| <$Group>::rand(&mut rng))
.collect::<Vec<_>>();
let group_elements_right = (0..SAMPLES)
.map(|_| <$Group>::rand(&mut rng))
.collect::<Vec<_>>();
let group_elements_right_affine = <$Group>::normalize_batch(&group_elements_right);
let scalars = (0..SAMPLES)
.map(|_| Scalar::rand(&mut rng))
.collect::<Vec<_>>();
arithmetic.bench_function("Addition", |b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
group_elements_left[i] + group_elements_right[i]
})
});
arithmetic.bench_function(
"Subtraction",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
group_elements_left[i] - group_elements_right[i]
})
},
);
arithmetic.bench_function(
"Mixed Addition",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
group_elements_left[i] + group_elements_right_affine[i]
})
},
);
arithmetic.bench_function(
"Mixed Subtraction",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
group_elements_left[i] - group_elements_right_affine[i]
})
},
);
arithmetic.bench_function("Double", |b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
group_elements_left[i].double()
})
});
arithmetic.bench_function(
"Scalar Multiplication",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
group_elements_left[i] * scalars[i]
})
},
);
}
fn serialization(c: &mut $crate::criterion::Criterion) {
use ark_ec::CurveGroup;
use ark_serialize::{CanonicalDeserialize, CanonicalSerialize};
use ark_std::UniformRand;
const SAMPLES: usize = 1000;
let name = format!("{}::{}", $curve_name, stringify!($Group));
let mut rng = ark_std::test_rng();
let v: Vec<_> = (0..SAMPLES)
.map(|_| <$Group>::rand(&mut rng))
.collect();
let v = <$Group>::normalize_batch(&v);
let mut bytes = Vec::with_capacity(1000);
let v_compressed = v
.iter()
.map(|a| {
let mut bytes = Vec::with_capacity(1000);
a.serialize_compressed(&mut bytes).unwrap();
bytes
})
.collect::<Vec<_>>();
let v_uncompressed = v
.iter()
.map(|a| {
let mut bytes = Vec::with_capacity(1000);
a.serialize_uncompressed(&mut bytes).unwrap();
bytes
})
.collect::<Vec<_>>();
let mut serialization =
c.benchmark_group(format!("Serialization for {name}"));
serialization.bench_function(
"Serialize Compressed",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
bytes.clear();
v[i].serialize_compressed(&mut bytes).unwrap()
})
},
);
serialization.bench_function(
"Serialize Uncompressed",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
bytes.clear();
v[i].serialize_uncompressed(&mut bytes).unwrap()
})
},
);
serialization.bench_function(
"Deserialize Compressed",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
bytes.clear();
<$Group>::deserialize_compressed(v_compressed[i].as_slice()).unwrap()
})
},
);
serialization.bench_function(
"Deserialize Compressed Unchecked",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
bytes.clear();
<$Group>::deserialize_compressed_unchecked(v_compressed[i].as_slice())
.unwrap()
})
},
);
serialization.bench_function(
"Deserialize Uncompressed",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
bytes.clear();
<$Group>::deserialize_uncompressed(v_uncompressed[i].as_slice())
.unwrap()
})
},
);
serialization.bench_function(
"Deserialize Uncompressed Unchecked",
|b| {
let mut i = 0;
b.iter(|| {
i = (i + 1) % SAMPLES;
bytes.clear();
<$Group>::deserialize_uncompressed_unchecked(
v_uncompressed[i].as_slice(),
)
.unwrap()
})
},
);
}
fn msm_131072(c: &mut $crate::criterion::Criterion) {
use ark_ec::{scalar_mul::variable_base::VariableBaseMSM, CurveGroup};
use ark_ff::PrimeField;
use ark_serialize::{CanonicalDeserialize, CanonicalSerialize};
use ark_std::UniformRand;
const SAMPLES: usize = 131072;
let name = format!("{}::{}", $curve_name, stringify!($Group));
let mut rng = ark_std::test_rng();
let v: Vec<_> = (0..SAMPLES)
.map(|_| <$Group>::rand(&mut rng))
.collect();
let v = <$Group>::normalize_batch(&v);
let scalars: Vec<_> = (0..SAMPLES)
.map(|_| Scalar::rand(&mut rng).into_bigint())
.collect();
c.bench_function(&format!("MSM for {name}"), |b| {
b.iter(|| {
let result: $Group = VariableBaseMSM::msm_bigint(&v, &scalars);
result
})
});
}
$crate::criterion_group!(benches, rand, arithmetic, serialization, msm_131072,);
}
}
};
}