bpf: Improve the general precision of tnum_mul

Drop the value-mask decomposition technique and adopt straightforward
long-multiplication with a twist: when LSB(a) is uncertain, find the
two partial products (for LSB(a) = known 0 and LSB(a) = known 1) and
take a union.

Experiment shows that applying this technique in long multiplication
improves the precision in a significant number of cases (at the cost
of losing precision in a relatively lower number of cases).

Signed-off-by: Nandakumar Edamana <nandakumar@nandakumar.co.in>
Signed-off-by: Andrii Nakryiko <andrii@kernel.org>
Tested-by: Harishankar Vishwanathan <harishankar.vishwanathan@gmail.com>
Reviewed-by: Harishankar Vishwanathan <harishankar.vishwanathan@gmail.com>
Acked-by: Eduard Zingerman <eddyz87@gmail.com>
Link: https://lore.kernel.org/bpf/20250826034524.2159515-1-nandakumar@nandakumar.co.in
This commit is contained in:
Nandakumar Edamana
2025-08-26 09:15:23 +05:30
committed by Andrii Nakryiko
parent 2465bb83e0
commit 1df7dad4d5
2 changed files with 45 additions and 13 deletions

View File

@@ -57,6 +57,9 @@ bool tnum_overlap(struct tnum a, struct tnum b);
/* Return a tnum representing numbers satisfying both @a and @b */
struct tnum tnum_intersect(struct tnum a, struct tnum b);
/* Returns a tnum representing numbers satisfying either @a or @b */
struct tnum tnum_union(struct tnum t1, struct tnum t2);
/* Return @a with all but the lowest @size bytes cleared */
struct tnum tnum_cast(struct tnum a, u8 size);

View File

@@ -116,31 +116,47 @@ struct tnum tnum_xor(struct tnum a, struct tnum b)
return TNUM(v & ~mu, mu);
}
/* Generate partial products by multiplying each bit in the multiplier (tnum a)
* with the multiplicand (tnum b), and add the partial products after
* appropriately bit-shifting them. Instead of directly performing tnum addition
* on the generated partial products, equivalenty, decompose each partial
* product into two tnums, consisting of the value-sum (acc_v) and the
* mask-sum (acc_m) and then perform tnum addition on them. The following paper
* explains the algorithm in more detail: https://arxiv.org/abs/2105.05398.
/* Perform long multiplication, iterating through the bits in a using rshift:
* - if LSB(a) is a known 0, keep current accumulator
* - if LSB(a) is a known 1, add b to current accumulator
* - if LSB(a) is unknown, take a union of the above cases.
*
* For example:
*
* acc_0: acc_1:
*
* 11 * -> 11 * -> 11 * -> union(0011, 1001) == x0x1
* x1 01 11
* ------ ------ ------
* 11 11 11
* xx 00 11
* ------ ------ ------
* ???? 0011 1001
*/
struct tnum tnum_mul(struct tnum a, struct tnum b)
{
u64 acc_v = a.value * b.value;
struct tnum acc_m = TNUM(0, 0);
struct tnum acc = TNUM(0, 0);
while (a.value || a.mask) {
/* LSB of tnum a is a certain 1 */
if (a.value & 1)
acc_m = tnum_add(acc_m, TNUM(0, b.mask));
acc = tnum_add(acc, b);
/* LSB of tnum a is uncertain */
else if (a.mask & 1)
acc_m = tnum_add(acc_m, TNUM(0, b.value | b.mask));
else if (a.mask & 1) {
/* acc = tnum_union(acc_0, acc_1), where acc_0 and
* acc_1 are partial accumulators for cases
* LSB(a) = certain 0 and LSB(a) = certain 1.
* acc_0 = acc + 0 * b = acc.
* acc_1 = acc + 1 * b = tnum_add(acc, b).
*/
acc = tnum_union(acc, tnum_add(acc, b));
}
/* Note: no case for LSB is certain 0 */
a = tnum_rshift(a, 1);
b = tnum_lshift(b, 1);
}
return tnum_add(TNUM(acc_v, 0), acc_m);
return acc;
}
bool tnum_overlap(struct tnum a, struct tnum b)
@@ -163,6 +179,19 @@ struct tnum tnum_intersect(struct tnum a, struct tnum b)
return TNUM(v & ~mu, mu);
}
/* Returns a tnum with the uncertainty from both a and b, and in addition, new
* uncertainty at any position that a and b disagree. This represents a
* superset of the union of the concrete sets of both a and b. Despite the
* overapproximation, it is optimal.
*/
struct tnum tnum_union(struct tnum a, struct tnum b)
{
u64 v = a.value & b.value;
u64 mu = (a.value ^ b.value) | a.mask | b.mask;
return TNUM(v & ~mu, mu);
}
struct tnum tnum_cast(struct tnum a, u8 size)
{
a.value &= (1ULL << (size * 8)) - 1;