Involved Source Files Package chacha8rand implements a pseudorandom generator
based on ChaCha8. It is used by both runtime and math/rand/v2
and must have minimal dependencies. ChaCha8 is ChaCha with 8 rounds.
See https://cr.yp.to/chacha/chacha-20080128.pdf.
ChaCha8 operates on a 4x4 matrix of uint32 values, initially set to:
const1 const2 const3 const4
seed seed seed seed
seed seed seed seed
counter64 0 0
We use the same constants as ChaCha20 does, a random seed,
and a counter. Running ChaCha8 on this input produces
a 4x4 matrix of pseudo-random values with as much entropy
as the seed.
Given SIMD registers that can hold N uint32s, it is possible
to run N ChaCha8 block transformations in parallel by filling
the first register with the N copies of const1, the second
with N copies of const2, and so on, and then running the operations.
Each iteration of ChaCha8Rand operates over 32 bytes of input and
produces 992 bytes of RNG output, plus 32 bytes of input for the next
iteration.
The 32 bytes of input are used as a ChaCha8 key, with a zero nonce, to
produce 1024 bytes of output (16 blocks, with counters 0 to 15).
First, for each block, the values 0x61707865, 0x3320646e, 0x79622d32,
0x6b206574 are subtracted from the 32-bit little-endian words at
position 0, 1, 2, and 3 respectively, and an increasing counter
starting at zero is subtracted from each word at position 12. Then,
this stream is permuted such that for each sequence of four blocks,
first we output the first four bytes of each block, then the next four
bytes of each block, and so on. Finally, the last 32 bytes of output
are used as the input of the next iteration, and the remaining 992
bytes are the RNG output.
See https://c2sp.org/chacha8rand for additional details.
Normal ChaCha20 implementations for encryption use this same
parallelism but then have to deinterlace the results so that
it appears the blocks were generated separately. For the purposes
of generating random numbers, the interlacing is fine.
We are simply locked in to preserving the 4-way interlacing
in any future optimizations.chacha8_amd64.s
Package-Level Type Names (only one)
/* sort by: | */
A State holds the state for a single random generator.
It must be used from one goroutine at a time.
If used by multiple goroutines at a time, the goroutines
may see the same random values, but the code will not
crash or cause out-of-bounds memory accesses. Init seeds the State with the given seed value. Init64 seeds the state with the given seed value. Next returns the next random value, along with a boolean
indicating whether one was available.
If one is not available, the caller should call Refill
and then repeat the call to Next.
Next is //go:nosplit to allow its use in the runtime
with per-m data without holding the per-m lock. Refill refills the state with more random values.
After a call to Refill, an immediate call to Next will succeed
(unless multiple goroutines are incorrectly sharing a state). Reseed reseeds the state with new random values.
After a call to Reseed, any previously returned random values
have been erased from the memory of the state and cannot be
recovered.
func Marshal(s *State) []byte
func Unmarshal(s *State, data []byte) error
Package-Level Functions (total 2)
Marshal marshals the state into a byte slice.
Marshal and Unmarshal are functions, not methods,
so that they will not be linked into the runtime
when it uses the State struct, since the runtime
does not need these.
Unmarshal unmarshals the state from a byte slice.
The pages are generated with Goldsv0.7.3. (GOOS=linux GOARCH=amd64)
Golds is a Go 101 project developed by Tapir Liu.
PR and bug reports are welcome and can be submitted to the issue list.
Please follow @zigo_101 (reachable from the left QR code) to get the latest news of Golds.
