Rework mining implementation without uint256, div and mod

This commit is contained in:
mratsim 2018-02-27 13:55:00 +01:00
parent 1840c12d1d
commit 69a0c68d3f
2 changed files with 82 additions and 33 deletions

View File

@ -7,7 +7,7 @@ srcDir = "src"
### Dependencies
requires "nim >= 0.17.2", "keccak_tiny >= 0.1.0", "ttmath >= 0.2.0" # ttmath is required for mining only
requires "nim >= 0.17.2", "keccak_tiny >= 0.1.0", "ttmath > 0.2.0" # ttmath with exposed table field is required for mining only
proc test(name: string, lang: string = "c") =
if not dirExists "build":

View File

@ -2,34 +2,9 @@
# Distributed under the Apache v2 License (license terms are at http://www.apache.org/licenses/LICENSE-2.0).
import ./proof_of_work, ./private/casting
import ttmath, random
import ttmath, random, math
# TODO we don't really need ttmath here
let # NimVM cannot evaluate those at compile-time. So they are considered side-effects :/
high_uint256 = 0.u256 - 1.u256
half_max = pow(2.u256, 255)
proc getBoundary(difficulty: uint64): UInt256 {.noInit, inline.} =
# Boundary is 2^256/difficulty
# We can't represent 2^256 as an uint256 so as a workaround we use:
#
# a mod b == (2 * a div 2) mod b
# == (2 * (a div 2) mod b) mod b
#
# if 2^256 mod b = 0: # b is even (and a power of two)
# result = 2^255 div (b div 2)
# if 2^256 mod b != 0:
# result = high(uint256) div b
# TODO: review/test
let b = difficulty.u256
let modulo = (2.u256 * (half_max mod b)) mod b
if modulo == 0.u256:
result = half_max div (b shr 1)
else:
result = high_uint256 div b
proc readUint256BE*(ba: ByteArrayBE[32]): UInt256 {.noSideEffect.}=
## Convert a big-endian array of Bytes to an UInt256 (in native host endianness)
@ -37,22 +12,96 @@ proc readUint256BE*(ba: ByteArrayBE[32]): UInt256 {.noSideEffect.}=
for i in 0 ..< N:
result = result shl 8 or ba[i].u256
proc willMulOverflow(a, b: uint64): bool {.inline,noSideEffect.}=
# We assume a <= b
if a > b:
return willMulOverflow(b, a)
# See https://en.wikipedia.org/wiki/Karatsuba_algorithm
# For our representation, it is similar to school grade multiplication
# Consider hi and lo as if they were digits
# i.e.
# a = a_hi * 2^32 + a_lo
# b = b_hi * 2^32 + b_lo
#
# 15 b
# X 12 a
# ------
# 10 lo*lo -> z0
# 2 hi*lo -> z1
# 5 lo*hi -> z1
# 10 hi*hi -- z2
# ------
# 180
const hi32 = high(uint32).uint64
# Case 1: Check if a_hi != 0
# covers "a_hi * b_hi" and "a_hi * b_lo"
if a > hi32:
# both are bigger than 2^32 and will overflow
# remember a < b
return true
# Case 2: check if a_lo * b_hi overflows
# Note:
# - a_lo = a (no a_hi following case 1)
# - b_hi = b shr 32
let z1 = a * (b shr 32)
if z1 > hi32:
return true
# Lastly we add z1 and z0 while checking for overflow
# Note: b_low = b and high(uint32)
# We have mul(a, b) = z1 * 2^32 + z0
# If a + b overflows, the result is lower than a
let z0 = a * (b and hi32)
let carry_test = z1 shl 32
result = carry_test + z0 < carry_test
proc isValid(nonce: uint64,
boundary: UInt256,
difficulty: uint64,
full_size: Natural,
dataset: seq[Hash[512]],
header: Hash[256]): bool {.noSideEffect.}=
# Boundary is 2^256/difficulty
# A valid nonce will have: hashimoto < 2^256/difficulty
# We can't represent 2^256 as an uint256 so as a workaround we use:
# difficulty * hashimoto <= 2^256 - 1
# i.e we only need to test that hashimoto * difficulty doesn't overflow uint256
# First run the hashimoto with the candidate nonce
let candidate = readUint256BE(cast[ByteArrayBE[32]](
hashimoto_full(full_size, dataset, header, nonce).value
))
# Now check if the multiplication of both would overflow
# We are now in the following case in base 2^64 instead of base 10
# 1234 hashimoto 1 * (2^64)^3 + 2 * (2^64)^2 + 3 * (2^64)^1 + 4
# X 5 difficulty 5
# ------
# ......
#
# Overflow occurs only if "1 * 5" overflows 2^64
when system.cpuEndian == littleEndian:
let hi_hash = candidate.table[3]
else:
let hi_hash = candidate.table[0]
result = willMulOverflow(hi_hash, difficulty)
let candidate = hashimoto_full(full_size, dataset, header, nonce)
result = readUint256BE(cast[ByteArrayBE[32]](candidate.value)) <= boundary
proc mine*(full_size: Natural, dataset: seq[Hash[512]], header: Hash[256], difficulty: uint64): uint64 =
# Returns a valid nonce
let target = difficulty.getBoundary
randomize() # Start with a completely random seed
result = uint64 random(high(int)) # TODO: Nim random does not work on uint64 range.
# Also random is deprecate and do not include the end of the range.
while not result.isValid(target, full_size, dataset, header):
while not result.isValid(difficulty, full_size, dataset, header):
inc(result) # we rely on uin overflow (mod 2^64) here.