Merge remote-tracking branch 'ebfull/sequential-montgomery-trick' into develop

This commit is contained in:
Isis Lovecruft 2018-07-04 20:24:19 +00:00
commit 11aa71fb8d
Failed to extract signature
2 changed files with 83 additions and 74 deletions

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@ -142,58 +142,34 @@ impl FieldElement {
/// Given a slice of public `FieldElements`, replace each with its inverse. /// Given a slice of public `FieldElements`, replace each with its inverse.
/// ///
/// All input `FieldElements` **MUST** be nonzero. /// All input `FieldElements` **MUST** be nonzero.
///
/// This function is most efficient when the batch size (slice
/// length) is a power of 2.
#[cfg(any(feature = "alloc", feature = "std"))] #[cfg(any(feature = "alloc", feature = "std"))]
pub fn batch_invert(inputs: &mut [FieldElement]) { pub fn batch_invert(inputs: &mut [FieldElement]) {
// First, compute the product of all inputs using a product // Montgomerys Trick and Fast Implementation of Masked AES
// tree: // Genelle, Prouff and Quisquater
// // Section 3.2
// Inputs: [x_0, x_1, x_2]
//
// Tree:
//
// x_0*x_1*x_2*1 tree[1]
// / \
// x_0*x_1 x_2*1 tree[2,3]
// / \ / \
// x_0 x_1 x_2 1 tree[4,5,6,7]
//
// The leaves of the tree are the inputs. We store the tree in
// an array of length 2*n, similar to a binary heap.
//
// To initialize the tree, set every node to 1, then fill in
// the leaf nodes with the input variables. Finally, set every
// non-leaf node to be the product of its children.
let n = inputs.len().next_power_of_two(); let n = inputs.len();
let mut tree = vec![FieldElement::one(); 2*n]; let mut scratch = vec![FieldElement::one(); n];
tree[n..n+inputs.len()].copy_from_slice(inputs);
for i in (1..n).rev() { // Keep an accumulator of all of the previous products
tree[i] = &tree[2*i] * &tree[2*i+1]; let mut acc = FieldElement::one();
// Pass through the input vector, recording the previous
// products in the scratch space
for (input, scratch) in inputs.iter().zip(scratch.iter_mut()) {
*scratch = acc;
acc = &acc * input;
} }
// The root of the tree is the product of all inputs, and is // Compute the inverse of all products
// stored at index 1. Compute its inverse. acc = acc.invert();
let allinv = tree[1].invert();
// To compute y_i = 1/x_i, start at the i-th leaf node of the // Pass through the vector backwards to compute the inverses
// tree, and walk up to the root of the tree, multiplying // in place
// `allinv` by each sibling. This computes for (input, scratch) in inputs.iter_mut().rev().zip(scratch.into_iter().rev()) {
// let tmp = &acc * input;
// y_i = y * (all x_j except x_i) *input = &acc * &scratch;
// acc = tmp;
// using lg(n) multiplications for each y_i, taking n*lg(n) in
// total.
for i in 0..inputs.len() {
let mut inv = allinv;
let mut node = n + i;
while node > 1 {
inv *= &tree[node ^ 1];
node = node >> 1;
}
inputs[i] = inv;
} }
} }
@ -496,4 +472,9 @@ mod test {
assert_eq!(one_bytes[i], 0); assert_eq!(one_bytes[i], 0);
} }
} }
#[test]
fn batch_invert_empty() {
FieldElement::batch_invert(&mut []);
}
} }

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@ -434,9 +434,6 @@ impl Scalar {
/// *prove* that this is the case, you **SHOULD NOT USE THIS /// *prove* that this is the case, you **SHOULD NOT USE THIS
/// FUNCTION**. /// FUNCTION**.
/// ///
/// This function is most efficient when the batch size (slice
/// length) is a power of 2.
///
/// # Example /// # Example
/// ///
/// ``` /// ```
@ -474,38 +471,47 @@ impl Scalar {
// Mark UnpackedScalars as zeroable. // Mark UnpackedScalars as zeroable.
unsafe impl ZeroSafe for UnpackedScalar {} unsafe impl ZeroSafe for UnpackedScalar {}
let n = inputs.len().next_power_of_two(); let n = inputs.len();
let one: UnpackedScalar = Scalar::one().unpack().to_montgomery(); let one: UnpackedScalar = Scalar::one().unpack().to_montgomery();
// Wrap the tree storage in a ClearOnDrop to wipe it when we // Wrap the scratch storage in a ClearOnDrop to wipe it when
// pass out of scope. // we pass out of scope.
let tree_vec = vec![one; 2*n]; let scratch_vec = vec![one; n];
let mut tree = ClearOnDrop::new(tree_vec); let mut scratch = ClearOnDrop::new(scratch_vec);
for i in 0..inputs.len() { // Keep an accumulator of all of the previous products
tree[n+i] = inputs[i].unpack().to_montgomery(); let mut acc = Scalar::one().unpack().to_montgomery();
// Pass through the input vector, recording the previous
// products in the scratch space
for (input, scratch) in inputs.iter_mut().zip(scratch.iter_mut()) {
*scratch = acc;
// Avoid unnecessary Montgomery multiplication in second pass by
// keeping inputs in Montgomery form
let tmp = input.unpack().to_montgomery();
*input = tmp.pack();
acc = UnpackedScalar::montgomery_mul(&acc, &tmp);
} }
for i in (1..n).rev() { // acc is nonzero iff all inputs are nonzero
tree[i] = UnpackedScalar::montgomery_mul(&tree[2*i], &tree[2*i+1]); debug_assert!(acc.pack() != Scalar::zero());
// Compute the inverse of all products
acc = acc.montgomery_invert().from_montgomery();
// We need to return the product of all inverses later
let ret = acc.pack();
// Pass through the vector backwards to compute the inverses
// in place
for (input, scratch) in inputs.iter_mut().rev().zip(scratch.into_iter().rev()) {
let tmp = UnpackedScalar::montgomery_mul(&acc, &input.unpack());
*input = UnpackedScalar::montgomery_mul(&acc, &scratch).pack();
acc = tmp;
} }
// tree[1] is zero iff any of the inputs are zero. ret
debug_assert!(tree[1].from_montgomery().pack() != Scalar::zero());
let allinv = tree[1].montgomery_invert();
for i in 0..inputs.len() {
let mut inv = allinv;
let mut node = n + i;
while node > 1 {
inv = UnpackedScalar::montgomery_mul(&inv, &tree[node ^1]);
node = node >> 1;
}
inputs[i] = inv.from_montgomery().pack();
}
allinv.from_montgomery().pack()
} }
/// Get the bits of the scalar. /// Get the bits of the scalar.
@ -1130,6 +1136,7 @@ mod test {
assert_eq!(parsed, X); assert_eq!(parsed, X);
} }
#[cfg(debug_assertions)]
#[test] #[test]
#[should_panic] #[should_panic]
fn batch_invert_with_a_zero_input_panics() { fn batch_invert_with_a_zero_input_panics() {
@ -1138,4 +1145,25 @@ mod test {
// This should panic in debug mode. // This should panic in debug mode.
Scalar::batch_invert(&mut xs); Scalar::batch_invert(&mut xs);
} }
#[test]
fn batch_invert_empty() {
assert_eq!(Scalar::one(), Scalar::batch_invert(&mut []));
}
#[test]
fn batch_invert_consistency() {
let mut x = Scalar::from_u64(1);
let mut v1: Vec<_> = (0..16).map(|_| {let tmp = x; x = x + x; tmp}).collect();
let v2 = v1.clone();
let expected: Scalar = v1.iter().product();
let expected = expected.invert();
let ret = Scalar::batch_invert(&mut v1);
assert_eq!(ret, expected);
for (a, b) in v1.iter().zip(v2.iter()) {
assert_eq!(a * b, Scalar::one());
}
}
} }