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Contains two modifications to improve ASIC resistance: shuffle and integer math. Shuffle makes use of the whole 64-byte cache line instead of 16 bytes only, making Cryptonight 4 times more demanding for memory bandwidth. Integer math adds 64:32 bit integer division followed by 64 bit integer square root, adding large and unavoidable computational latency to the main loop. More details and performance numbers: https://github.com/SChernykh/xmr-stak-cpu/blob/master/README.md
164 lines
7.6 KiB
C
164 lines
7.6 KiB
C
#ifndef VARIANT2_INT_SQRT_H
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#define VARIANT2_INT_SQRT_H
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#include <math.h>
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#include <float.h>
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#define VARIANT2_INTEGER_MATH_SQRT_STEP_SSE2() \
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do { \
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const __m128i exp_double_bias = _mm_set_epi64x(0, 1023ULL << 52); \
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__m128d x = _mm_castsi128_pd(_mm_add_epi64(_mm_cvtsi64_si128(sqrt_input >> 12), exp_double_bias)); \
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x = _mm_sqrt_sd(_mm_setzero_pd(), x); \
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sqrt_result = (uint64_t)(_mm_cvtsi128_si64(_mm_sub_epi64(_mm_castpd_si128(x), exp_double_bias))) >> 19; \
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} while(0)
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#define VARIANT2_INTEGER_MATH_SQRT_STEP_FP64() \
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do { \
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sqrt_result = sqrt(sqrt_input + 18446744073709551616.0) * 2.0 - 8589934592.0; \
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} while(0)
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#define VARIANT2_INTEGER_MATH_SQRT_STEP_REF() \
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sqrt_result = integer_square_root_v2(sqrt_input)
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// Reference implementation of the integer square root for Cryptonight variant 2
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// Computes integer part of "sqrt(2^64 + n) * 2 - 2^33"
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//
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// In other words, given 64-bit unsigned integer n:
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// 1) Write it as x = 1.NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN000... in binary (1 <= x < 2, all 64 bits of n are used)
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// 2) Calculate sqrt(x) = 1.0RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR... (1 <= sqrt(x) < sqrt(2), so it will always start with "1.0" in binary)
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// 3) Take 32 bits that come after "1.0" and return them as a 32-bit unsigned integer, discard all remaining bits
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//
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// Some sample inputs and outputs:
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//
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// Input | Output | Exact value of "sqrt(2^64 + n) * 2 - 2^33"
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// -----------------|------------|-------------------------------------------
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// 0 | 0 | 0
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// 2^32 | 0 | 0.99999999994179233909330885695244...
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// 2^32 + 1 | 1 | 1.0000000001746229827200734316305...
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// 2^50 | 262140 | 262140.00012206565608606978175873...
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// 2^55 + 20963331 | 8384515 | 8384515.9999999997673963974959744...
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// 2^55 + 20963332 | 8384516 | 8384516
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// 2^62 + 26599786 | 1013904242 | 1013904242.9999999999479374853545...
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// 2^62 + 26599787 | 1013904243 | 1013904243.0000000001561875439364...
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// 2^64 - 1 | 3558067407 | 3558067407.9041987696409179931096...
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// The reference implementation as it is now uses only unsigned int64 arithmetic, so it can't have undefined behavior
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// It was tested once for all edge cases and confirmed correct
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static inline uint32_t integer_square_root_v2(uint64_t n)
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{
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uint64_t r = 1ULL << 63;
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for (uint64_t bit = 1ULL << 60; bit; bit >>= 2)
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{
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const bool b = (n < r + bit);
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const uint64_t n_next = n - (r + bit);
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const uint64_t r_next = r + bit * 2;
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n = b ? n : n_next;
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r = b ? r : r_next;
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r >>= 1;
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}
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return r * 2 + ((n > r) ? 1 : 0);
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}
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/*
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VARIANT2_INTEGER_MATH_SQRT_FIXUP checks that "r" is an integer part of "sqrt(2^64 + sqrt_input) * 2 - 2^33" and adds or subtracts 1 if needed
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It's hard to understand how it works, so here is a full calculation of formulas used in VARIANT2_INTEGER_MATH_SQRT_FIXUP
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The following inequalities must hold for r if it's an integer part of "sqrt(2^64 + sqrt_input) * 2 - 2^33":
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1) r <= sqrt(2^64 + sqrt_input) * 2 - 2^33
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2) r + 1 > sqrt(2^64 + sqrt_input) * 2 - 2^33
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We need to check them using only unsigned integer arithmetic to avoid rounding errors and undefined behavior
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First inequality: r <= sqrt(2^64 + sqrt_input) * 2 - 2^33
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-----------------------------------------------------------------------------------
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r <= sqrt(2^64 + sqrt_input) * 2 - 2^33
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r + 2^33 <= sqrt(2^64 + sqrt_input) * 2
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r/2 + 2^32 <= sqrt(2^64 + sqrt_input)
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(r/2 + 2^32)^2 <= 2^64 + sqrt_input
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Rewrite r as r = s * 2 + b (s = trunc(r/2), b is 0 or 1)
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((s*2+b)/2 + 2^32)^2 <= 2^64 + sqrt_input
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(s*2+b)^2/4 + 2*2^32*(s*2+b)/2 + 2^64 <= 2^64 + sqrt_input
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(s*2+b)^2/4 + 2*2^32*(s*2+b)/2 <= sqrt_input
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(s*2+b)^2/4 + 2^32*r <= sqrt_input
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(s^2*4+2*s*2*b+b^2)/4 + 2^32*r <= sqrt_input
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s^2+s*b+b^2/4 + 2^32*r <= sqrt_input
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s*(s+b) + b^2/4 + 2^32*r <= sqrt_input
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Let r2 = s*(s+b) + r*2^32
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r2 + b^2/4 <= sqrt_input
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If this inequality doesn't hold, then we must decrement r: IF "r2 + b^2/4 > sqrt_input" THEN r = r - 1
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b can be 0 or 1
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If b is 0 then we need to compare "r2 > sqrt_input"
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If b is 1 then b^2/4 = 0.25, so we need to compare "r2 + 0.25 > sqrt_input"
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Since both r2 and sqrt_input are integers, we can safely replace it with "r2 + 1 > sqrt_input"
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-----------------------------------------------------------------------------------
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Both cases can be merged to a single expression "r2 + b > sqrt_input"
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-----------------------------------------------------------------------------------
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There will be no overflow when calculating "r2 + b", so it's safe to compare with sqrt_input:
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r2 + b = s*(s+b) + r*2^32 + b
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The largest value s, b and r can have is s = 1779033703, b = 1, r = 3558067407 when sqrt_input = 2^64 - 1
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r2 + b <= 1779033703*1779033704 + 3558067407*2^32 + 1 = 18446744068217447385 < 2^64
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Second inequality: r + 1 > sqrt(2^64 + sqrt_input) * 2 - 2^33
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-----------------------------------------------------------------------------------
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r + 1 > sqrt(2^64 + sqrt_input) * 2 - 2^33
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r + 1 + 2^33 > sqrt(2^64 + sqrt_input) * 2
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((r+1)/2 + 2^32)^2 > 2^64 + sqrt_input
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Rewrite r as r = s * 2 + b (s = trunc(r/2), b is 0 or 1)
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((s*2+b+1)/2 + 2^32)^2 > 2^64 + sqrt_input
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(s*2+b+1)^2/4 + 2*(s*2+b+1)/2*2^32 + 2^64 > 2^64 + sqrt_input
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(s*2+b+1)^2/4 + (s*2+b+1)*2^32 > sqrt_input
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(s*2+b+1)^2/4 + (r+1)*2^32 > sqrt_input
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(s*2+(b+1))^2/4 + r*2^32 + 2^32 > sqrt_input
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(s^2*4+2*s*2*(b+1)+(b+1)^2)/4 + r*2^32 + 2^32 > sqrt_input
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s^2+s*(b+1)+(b+1)^2/4 + r*2^32 + 2^32 > sqrt_input
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s*(s+b) + s + (b+1)^2/4 + r*2^32 + 2^32 > sqrt_input
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Let r2 = s*(s+b) + r*2^32
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r2 + s + (b+1)^2/4 + 2^32 > sqrt_input
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r2 + 2^32 + (b+1)^2/4 > sqrt_input - s
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If this inequality doesn't hold, then we must decrement r: IF "r2 + 2^32 + (b+1)^2/4 <= sqrt_input - s" THEN r = r - 1
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b can be 0 or 1
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If b is 0 then we need to compare "r2 + 2^32 + 1/4 <= sqrt_input - s" which is equal to "r2 + 2^32 < sqrt_input - s" because all numbers here are integers
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If b is 1 then (b+1)^2/4 = 1, so we need to compare "r2 + 2^32 + 1 <= sqrt_input - s" which is also equal to "r2 + 2^32 < sqrt_input - s"
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-----------------------------------------------------------------------------------
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Both cases can be merged to a single expression "r2 + 2^32 < sqrt_input - s"
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-----------------------------------------------------------------------------------
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There will be no overflow when calculating "r2 + 2^32":
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r2 + 2^32 = s*(s+b) + r*2^32 + 2^32 = s*(s+b) + (r+1)*2^32
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The largest value s, b and r can have is s = 1779033703, b = 1, r = 3558067407 when sqrt_input = 2^64 - 1
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r2 + b <= 1779033703*1779033704 + 3558067408*2^32 = 18446744072512414680 < 2^64
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There will be no integer overflow when calculating "sqrt_input - s", i.e. "sqrt_input >= s" at all times:
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s = trunc(r/2) = trunc(sqrt(2^64 + sqrt_input) - 2^32) < sqrt(2^64 + sqrt_input) - 2^32 + 1
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sqrt_input > sqrt(2^64 + sqrt_input) - 2^32 + 1
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sqrt_input + 2^32 - 1 > sqrt(2^64 + sqrt_input)
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(sqrt_input + 2^32 - 1)^2 > sqrt_input + 2^64
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sqrt_input^2 + 2*sqrt_input*(2^32 - 1) + (2^32-1)^2 > sqrt_input + 2^64
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sqrt_input^2 + sqrt_input*(2^33 - 2) + (2^32-1)^2 > sqrt_input + 2^64
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sqrt_input^2 + sqrt_input*(2^33 - 3) + (2^32-1)^2 > 2^64
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sqrt_input^2 + sqrt_input*(2^33 - 3) + 2^64-2^33+1 > 2^64
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sqrt_input^2 + sqrt_input*(2^33 - 3) - 2^33 + 1 > 0
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This inequality is true if sqrt_input > 1 and it's easy to check that s = 0 if sqrt_input is 0 or 1, so there will be no integer overflow
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*/
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#define VARIANT2_INTEGER_MATH_SQRT_FIXUP(r) \
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do { \
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const uint64_t s = r >> 1; \
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const uint64_t b = r & 1; \
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const uint64_t r2 = (uint64_t)(s) * (s + b) + (r << 32); \
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r += ((r2 + b > sqrt_input) ? -1 : 0) + ((r2 + (1ULL << 32) < sqrt_input - s) ? 1 : 0); \
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} while(0)
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#endif
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