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authorHarishankar Vishwanathan <harishankar.vishwanathan@rutgers.edu>2021-05-30 22:01:57 -0400
committerDaniel Borkmann <daniel@iogearbox.net>2021-06-01 13:34:15 +0200
commit05924717ac704a868053652b20036aa3a2273e26 (patch)
tree7dc403334b7374dee17fa63b3a7477a5a1d04ba4
parente8e0f0f484780d7b90a63ea50020ac4bb027178d (diff)
downloadbpf-next-05924717ac70.tar.gz
bpf, tnums: Provably sound, faster, and more precise algorithm for tnum_mul
This patch introduces a new algorithm for multiplication of tristate numbers (tnums) that is provably sound. It is faster and more precise when compared to the existing method. Like the existing method, this new algorithm follows the long multiplication algorithm. The idea is to generate partial products by multiplying each bit in the multiplier (tnum a) with the multiplicand (tnum b), and adding the partial products after appropriately bit-shifting them. The new algorithm, however, uses just a single loop over the bits of the multiplier (tnum a) and accumulates only the uncertain components of the multiplicand (tnum b) into a mask-only tnum. The following paper explains the algorithm in more detail: https://arxiv.org/abs/2105.05398. A natural way to construct the tnum product is by performing a tnum addition on all the partial products. This algorithm presents another method of doing this: decompose each partial product into two tnums, consisting of the values and the masks separately. The mask-sum is accumulated within the loop in acc_m. The value-sum tnum is generated using a.value * b.value. The tnum constructed by tnum addition of the value-sum and the mask-sum contains all possible summations of concrete values drawn from the partial product tnums pairwise. We prove this result in the paper. Our evaluations show that the new algorithm is overall more precise (producing tnums with less uncertain components) than the existing method. As an illustrative example, consider the input tnums A and B. The numbers in the parenthesis correspond to (value;mask). A = 000000x1 (1;2) B = 0010011x (38;1) A * B (existing) = xxxxxxxx (0;255) A * B (new) = 0x1xxxxx (32;95) Importantly, we present a proof of soundness of the new algorithm in the aforementioned paper. Additionally, we show that this new algorithm is empirically faster than the existing method. Co-developed-by: Matan Shachnai <m.shachnai@rutgers.edu> Co-developed-by: Srinivas Narayana <srinivas.narayana@rutgers.edu> Co-developed-by: Santosh Nagarakatte <santosh.nagarakatte@rutgers.edu> Signed-off-by: Matan Shachnai <m.shachnai@rutgers.edu> Signed-off-by: Srinivas Narayana <srinivas.narayana@rutgers.edu> Signed-off-by: Santosh Nagarakatte <santosh.nagarakatte@rutgers.edu> Signed-off-by: Harishankar Vishwanathan <harishankar.vishwanathan@rutgers.edu> Signed-off-by: Daniel Borkmann <daniel@iogearbox.net> Reviewed-by: Edward Cree <ecree.xilinx@gmail.com> Link: https://arxiv.org/abs/2105.05398 Link: https://lore.kernel.org/bpf/20210531020157.7386-1-harishankar.vishwanathan@rutgers.edu
-rw-r--r--kernel/bpf/tnum.c41
1 files changed, 22 insertions, 19 deletions
diff --git a/kernel/bpf/tnum.c b/kernel/bpf/tnum.c
index ceac5281bd314c..3d7127f439a142 100644
--- a/kernel/bpf/tnum.c
+++ b/kernel/bpf/tnum.c
@@ -111,28 +111,31 @@ struct tnum tnum_xor(struct tnum a, struct tnum b)
return TNUM(v & ~mu, mu);
}
-/* half-multiply add: acc += (unknown * mask * value).
- * An intermediate step in the multiply algorithm.
+/* 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.
*/
-static struct tnum hma(struct tnum acc, u64 value, u64 mask)
-{
- while (mask) {
- if (mask & 1)
- acc = tnum_add(acc, TNUM(0, value));
- mask >>= 1;
- value <<= 1;
- }
- return acc;
-}
-
struct tnum tnum_mul(struct tnum a, struct tnum b)
{
- struct tnum acc;
- u64 pi;
-
- pi = a.value * b.value;
- acc = hma(TNUM(pi, 0), a.mask, b.mask | b.value);
- return hma(acc, b.mask, a.value);
+ u64 acc_v = a.value * b.value;
+ struct tnum acc_m = 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));
+ /* LSB of tnum a is uncertain */
+ else if (a.mask & 1)
+ acc_m = tnum_add(acc_m, TNUM(0, b.value | b.mask));
+ /* 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);
}
/* Note that if a and b disagree - i.e. one has a 'known 1' where the other has