Use the LookupTable struct in AVX2 code

This commit is contained in:
Henry de Valence 2017-12-15 13:56:20 -08:00
parent 34f44dcf5d
commit 70f710eafe

View file

@ -22,6 +22,7 @@ use subtle::ConditionallyAssignable;
use edwards;
use scalar::Scalar;
use curve_models::window::LookupTable;
use traits::Identity;
@ -55,6 +56,12 @@ impl ConditionallyAssignable for ExtendedPoint {
}
}
impl Default for ExtendedPoint {
fn default() -> ExtendedPoint {
ExtendedPoint::identity()
}
}
impl Identity for ExtendedPoint {
fn identity() -> ExtendedPoint {
ExtendedPoint(FieldElement32x4([
@ -273,19 +280,24 @@ impl<'a, 'b> Sub<&'b ExtendedPoint> for &'a ExtendedPoint {
}
}
impl From<ExtendedPoint> for LookupTable<ExtendedPoint> {
fn from(P: ExtendedPoint) -> Self {
let mut points = [P; 8];
for i in 0..7 {
points[i+1] = &P + &points[i];
}
LookupTable(points)
}
}
impl<'a, 'b> Mul<&'b Scalar> for &'a ExtendedPoint {
type Output = ExtendedPoint;
/// Scalar multiplication: compute `scalar * self`.
///
/// Uses a window of size 4.
fn mul(self, scalar: &'b Scalar) -> ExtendedPoint {
use traits::select_precomputed_point;
// Construct a lookup table of [P,2P,3P,4P,5P,6P,7P,8P]
let mut lookup_table: [ExtendedPoint; 8] = [*self; 8];
for i in 0..7 {
lookup_table[i+1] = self + &lookup_table[i];
}
let lookup_table = LookupTable::from(*self);
// Setting s = scalar, compute
//
@ -305,62 +317,36 @@ impl<'a, 'b> Mul<&'b Scalar> for &'a ExtendedPoint {
for i in (0..64).rev() {
// Q = 16*Q
Q = Q.mult_by_pow_2(4);
// R = s_i * Q
let R = select_precomputed_point(scalar_digits[i], &lookup_table);
// Q = Q + R
Q = &Q + &R;
// Q += P*s_i
Q = &Q + &lookup_table.select(scalar_digits[i]);
}
Q
}
}
#[derive(Clone)]
pub struct EdwardsBasepointTable(pub [[ExtendedPoint; 8]; 32]);
pub struct EdwardsBasepointTable(pub [LookupTable<ExtendedPoint>; 32]);
impl<'a, 'b> Mul<&'b Scalar> for &'a EdwardsBasepointTable {
type Output = ExtendedPoint;
/// Construct an `ExtendedPoint` from a `Scalar`, `scalar`, by
/// computing the multiple `aB` of the basepoint `B`.
///
/// Precondition: the scalar must be reduced.
///
/// The computation proceeds as follows, as described on page 13
/// of the Ed25519 paper. Write the scalar `a` in radix 16 with
/// coefficients in [-8,8), i.e.,
///
/// a = a_0 + a_1*16^1 + ... + a_63*16^63,
///
/// with -8 ≤ a_i < 8. Then
///
/// a*B = a_0*B + a_1*16^1*B + ... + a_63*16^63*B.
///
/// Grouping even and odd coefficients gives
///
/// a*B = a_0*16^0*B + a_2*16^2*B + ... + a_62*16^62*B
/// + a_1*16^1*B + a_3*16^3*B + ... + a_63*16^63*B
/// = (a_0*16^0*B + a_2*16^2*B + ... + a_62*16^62*B)
/// + 16*(a_1*16^0*B + a_3*16^2*B + ... + a_63*16^62*B).
///
/// We then use the `select_precomputed_point` function, which
/// takes `-8 ≤ x < 8` and `[16^2i * B, ..., 8 * 16^2i * B]`,
/// and returns `x * 16^2i * B` in constant time.
fn mul(self, scalar: &'b Scalar) -> ExtendedPoint {
use traits::select_precomputed_point;
let e = scalar.to_radix_16();
let mut h = ExtendedPoint::identity();
let a = scalar.to_radix_16();
let tables = &self.0;
let mut P = ExtendedPoint::identity();
for i in (0..64).filter(|x| x % 2 == 1) {
h = &h + &select_precomputed_point(e[i], &self.0[i/2]);
P = &P + &tables[i/2].select(a[i]);
}
h = h.mult_by_pow_2(4);
P = P.mult_by_pow_2(4);
for i in (0..64).filter(|x| x % 2 == 0) {
h = &h + &select_precomputed_point(e[i], &self.0[i/2]);
P = &P + &tables[i/2].select(a[i]);
}
h
P
}
}
@ -376,19 +362,12 @@ impl<'a, 'b> Mul<&'a EdwardsBasepointTable> for &'b Scalar {
impl EdwardsBasepointTable {
/// Create a table of precomputed multiples of `basepoint`.
pub fn create(basepoint: &ExtendedPoint) -> EdwardsBasepointTable {
// Create the table storage
// XXX can we skip the initialization without too much unsafety?
// stick 30K on the stack and call it a day.
let mut table = EdwardsBasepointTable([[ExtendedPoint::identity(); 8]; 32]);
// XXX use init_with
let mut table = EdwardsBasepointTable([LookupTable::default(); 32]);
let mut P = *basepoint;
for i in 0..32 {
// P = (16^2)^i * B
let mut jP = P;
for j in 1..9 {
// table[i][j-1] is supposed to be j*(16^2)^i*B
table.0[i][j-1] = jP;
jP = &P + &jP;
}
table.0[i] = LookupTable::from(P);
P = P.mult_by_pow_2(8);
}
table
@ -396,8 +375,8 @@ impl EdwardsBasepointTable {
/// Get the basepoint for this table as an `ExtendedPoint`.
pub fn basepoint(&self) -> ExtendedPoint {
// self.0[0][0] has 1*(16^2)^0*B
self.0[0][0]
// self.0[0].select(1) = 1*(16^2)^0*B
self.0[0].select(1)
}
}
@ -422,19 +401,11 @@ pub fn multiscalar_mult<'a, 'b, I, J>(scalars: I, points: J) -> edwards::Extende
where I: IntoIterator<Item = &'a Scalar>,
J: IntoIterator<Item = &'b edwards::ExtendedPoint>
{
use traits::select_precomputed_point;
//assert_eq!(scalars.len(), points.len());
let lookup_tables: Vec<_> = points.into_iter()
.map(|P| {
let P = ExtendedPoint::from(*P);
// Construct a lookup table of [P,2*P,3*P,4*P,5*P,6*P,7*P]
let mut lookup_table: [ExtendedPoint; 8] = [P; 8];
for i in 0..7 {
lookup_table[i+1] = &P + &lookup_table[i];
}
lookup_table
}).collect();
.map(|P| LookupTable::from(ExtendedPoint::from(*P)) )
.collect();
// Setting s_i = i-th scalar, compute
//
@ -469,10 +440,8 @@ pub fn multiscalar_mult<'a, 'b, I, J>(scalars: I, points: J) -> edwards::Extende
Q = Q.mult_by_pow_2(4);
let it = scalar_digits_list.iter().zip(lookup_tables.iter());
for (s_i, lookup_table_i) in it {
// R_i = s_{i,j} * P_i
let R_i = select_precomputed_point(s_i[j], lookup_table_i);
// Q = Q + R_i
Q = &Q + &R_i;
// Q = Q + s_{i,j} * P_i
Q = &Q + &lookup_table_i.select(s_i[j]);
}
}
Q.into()