curve25519-dalek-source/curve25519-dalek/src/backend/vector/scalar_mul/precomputed_straus.rs
pinkforest(she/her) b636fb8ee4
Make AVX512IFMA opt-in backend (#695)
* Make AVX512IFMA opt-in backend

* Updated README to have backend info

* Added entry to changelog

---------

Co-authored-by: Michael Rosenberg <michael@mrosenberg.pub>
2024-09-08 01:13:36 -04:00

130 lines
4.2 KiB
Rust

// -*- mode: rust; -*-
//
// This file is part of curve25519-dalek.
// Copyright (c) 2019 Henry de Valence.
// See LICENSE for licensing information.
//
// Authors:
// - Henry de Valence <hdevalence@hdevalence.ca>
//! Precomputation for Straus's method.
#![allow(non_snake_case)]
#[curve25519_dalek_derive::unsafe_target_feature_specialize(
"avx2",
conditional(
"avx512ifma,avx512vl",
all(curve25519_dalek_backend = "unstable_avx512", nightly)
)
)]
pub mod spec {
use alloc::vec::Vec;
use core::borrow::Borrow;
use core::cmp::Ordering;
#[for_target_feature("avx2")]
use crate::backend::vector::avx2::{CachedPoint, ExtendedPoint};
#[for_target_feature("avx512ifma")]
use crate::backend::vector::ifma::{CachedPoint, ExtendedPoint};
use crate::edwards::EdwardsPoint;
use crate::scalar::Scalar;
use crate::traits::Identity;
use crate::traits::VartimePrecomputedMultiscalarMul;
use crate::window::{NafLookupTable5, NafLookupTable8};
pub struct VartimePrecomputedStraus {
static_lookup_tables: Vec<NafLookupTable8<CachedPoint>>,
}
impl VartimePrecomputedMultiscalarMul for VartimePrecomputedStraus {
type Point = EdwardsPoint;
fn new<I>(static_points: I) -> Self
where
I: IntoIterator,
I::Item: Borrow<EdwardsPoint>,
{
Self {
static_lookup_tables: static_points
.into_iter()
.map(|P| NafLookupTable8::<CachedPoint>::from(P.borrow()))
.collect(),
}
}
fn optional_mixed_multiscalar_mul<I, J, K>(
&self,
static_scalars: I,
dynamic_scalars: J,
dynamic_points: K,
) -> Option<EdwardsPoint>
where
I: IntoIterator,
I::Item: Borrow<Scalar>,
J: IntoIterator,
J::Item: Borrow<Scalar>,
K: IntoIterator<Item = Option<EdwardsPoint>>,
{
let static_nafs = static_scalars
.into_iter()
.map(|c| c.borrow().non_adjacent_form(5))
.collect::<Vec<_>>();
let dynamic_nafs: Vec<_> = dynamic_scalars
.into_iter()
.map(|c| c.borrow().non_adjacent_form(5))
.collect::<Vec<_>>();
let dynamic_lookup_tables = dynamic_points
.into_iter()
.map(|P_opt| P_opt.map(|P| NafLookupTable5::<CachedPoint>::from(&P)))
.collect::<Option<Vec<_>>>()?;
let sp = self.static_lookup_tables.len();
let dp = dynamic_lookup_tables.len();
assert!(sp >= static_nafs.len());
assert_eq!(dp, dynamic_nafs.len());
// We could save some doublings by looking for the highest
// nonzero NAF coefficient, but since we might have a lot of
// them to search, it's not clear it's worthwhile to check.
let mut R = ExtendedPoint::identity();
for j in (0..256).rev() {
R = R.double();
for i in 0..dp {
let t_ij = dynamic_nafs[i][j];
match t_ij.cmp(&0) {
Ordering::Greater => {
R = &R + &dynamic_lookup_tables[i].select(t_ij as usize);
}
Ordering::Less => {
R = &R - &dynamic_lookup_tables[i].select(-t_ij as usize);
}
Ordering::Equal => {}
}
}
#[allow(clippy::needless_range_loop)]
for i in 0..static_nafs.len() {
let t_ij = static_nafs[i][j];
match t_ij.cmp(&0) {
Ordering::Greater => {
R = &R + &self.static_lookup_tables[i].select(t_ij as usize);
}
Ordering::Less => {
R = &R - &self.static_lookup_tables[i].select(-t_ij as usize);
}
Ordering::Equal => {}
}
}
}
Some(R.into())
}
}
}