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Improved benches for cmp compute.
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jorgecarleitao committed Aug 22, 2021
1 parent 8243861 commit 3ac85d4
Showing 1 changed file with 36 additions and 52 deletions.
88 changes: 36 additions & 52 deletions benches/comparison_kernels.rs
Original file line number Diff line number Diff line change
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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.

#[macro_use]
extern crate criterion;
use criterion::Criterion;
use criterion::{black_box, criterion_group, criterion_main, Criterion};

use arrow2::array::*;
use arrow2::scalar::*;
use arrow2::util::bench_util::*;
use arrow2::{compute::comparison::*, datatypes::DataType, types::NativeType};
use arrow2::{compute::comparison::*, datatypes::DataType};

fn bench_op<T>(arr_a: &PrimitiveArray<T>, arr_b: &PrimitiveArray<T>, op: Operator)
where
T: NativeType,
{
compare(criterion::black_box(arr_a), criterion::black_box(arr_b), op).unwrap();
fn bench_op(arr_a: &dyn Array, arr_b: &dyn Array, op: Operator) {
compare(black_box(arr_a), black_box(arr_b), op).unwrap();
}

fn bench_op_scalar<T>(arr_a: &PrimitiveArray<T>, value_b: T, op: Operator)
where
T: NativeType + Simd8,
{
primitive_compare_scalar(
criterion::black_box(arr_a),
criterion::black_box(value_b),
op,
);
fn bench_op_scalar(arr_a: &dyn Array, value_b: &dyn Scalar, op: Operator) {
compare_scalar(black_box(arr_a), black_box(value_b), op).unwrap();
}

fn add_benchmark(c: &mut Criterion) {
let size = 65536;
let arr_a = create_primitive_array_with_seed::<f32>(size, DataType::Float32, 0.0, 42);
let arr_b = create_primitive_array_with_seed::<f32>(size, DataType::Float32, 0.0, 43);

c.bench_function("eq Float32", |b| {
b.iter(|| bench_op(&arr_a, &arr_b, Operator::Eq))
});
c.bench_function("eq scalar Float32", |b| {
b.iter(|| bench_op_scalar(&arr_a, 0.5, Operator::Eq))
});

c.bench_function("lt Float32", |b| {
b.iter(|| bench_op(&arr_a, &arr_b, Operator::Lt))
});
c.bench_function("lt scalar Float32", |b| {
b.iter(|| bench_op_scalar(&arr_a, 0.5, Operator::Lt))
});
(10..=20).step_by(2).for_each(|log2_size| {
let size = 2usize.pow(log2_size);

let arr_a = create_primitive_array_with_seed::<f32>(size, DataType::Float32, 0.0, 42);
let arr_b = create_primitive_array_with_seed::<f32>(size, DataType::Float32, 0.0, 43);

c.bench_function(&format!("f32 2^{}", log2_size), |b| {
b.iter(|| bench_op(&arr_a, &arr_b, Operator::Eq))
});
c.bench_function(&format!("f32 scalar 2^{}", log2_size), |b| {
b.iter(|| {
bench_op_scalar(
&arr_a,
&PrimitiveScalar::<f32>::from(Some(0.5)),
Operator::Eq,
)
})
});

let arr_a = create_boolean_array(size, 0.0, 0.1);
let arr_b = create_boolean_array(size, 0.0, 0.2);

c.bench_function(&format!("bool 2^{}", log2_size), |b| {
b.iter(|| bench_op(&arr_a, &arr_b, Operator::Eq))
});
c.bench_function(&format!("bool scalar 2^{}", log2_size), |b| {
b.iter(|| bench_op_scalar(&arr_a, &BooleanScalar::from(Some(true)), Operator::Eq))
});
})
}

criterion_group!(benches, add_benchmark);
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