📄 sieve.c
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/* * sieve.c - Trial division for prime finding. * * Copyright (c) 1995 Colin Plumb. All rights reserved. * For licensing and other legal details, see the file legal.c. * * Finding primes: * - Sieve 1 to find the small primes for * - Sieve 2 to find the candidate large primes, then * - Pseudo-primality test. * * An important question is how much trial division by small primes * should we do? The answer is a LOT. Even a heavily optimized * Fermat test to the base 2 (the simplest pseudoprimality test) * is much more expensive than a division. * * For an prime of n k-bit words, a Fermat test to the base 2 requires n*k * modular squarings, each of which involves n*(n+1)/2 signle-word multiplies * in the squaring and n*(n+1) multiplies in the modular reduction, plus * some overhead to get into and out of Montgomery form. This is a total * of 3/2 * k * n^2 * (n+1). Equivalently, if n*k = b bits, it's * 3/2 * (b/k+1) * b^2 / k. * * A modulo operation requires n single-word divides. Let's assume that * a divide is 4 times the cost of a multiply. That's 4*n multiplies. * However, you only have to do the division once for your entire * search. It can be amortized over 10-15 primes. So it's * really more like n/3 multiplies. This is b/3k. * * Now, let's suppose you have a candidate prime t. Your options * are to a) do trial division by a prime p, then do a Fermat test, * or to do the Fermat test directly. Doing the trial division * costs b/3k multiplies, but a certain fraction of the time (1/p), it * saves you 3/2 b^3 / k^2 multiplies. Thus, it's worth it doing the * division as long as b/3k < 3/2 * (b/k+1) * b^2 / k / p. * I.e. p < 9/2 * (b/k + 1) * b = 9/2 * (b^2/k + b). * E.g. for k=16 and b=256, p < 9/2 * 17 * 256 = 19584. * Solving for k=16 and k=32 at a few interesting value of b: * * k=16, b=256: p < 19584 k=32, b=256: p < 10368 * k=16, b=384: p < 43200 k=32, b=384; p < 22464 * k=16, b=512: p < 76032 k=32, b=512: p < 39168 * k=16, b=640: p < 118080 k=32, b=640: p < 60480 * * H'm... before using the highly-optimized Fermat test, I got much larger * numbers (64K to 256K), and designed the sieve for that. Maybe it needs * to be reduced. It *is* true that the desirable sieve size increases * rapidly with increasing prime size, and it's the larger primes that are * worrisome in any case. I'll leave it as is (64K) for now while I * think about it. * * A bit of tweaking the division (we can compute a reciprocal and do * multiplies instead, turning 4*n into 4 + 2*n) would increase all the * numbers by a factor of 2 or so. * * * Bit k in a sieve corresponds to the number a + k*b. * For a given a and b, the sieve's job is to find the values of * k for which a + k*b == 0 (mod p). Multiplying by b^-1 and * isolating k, you get k == -a*b^-1 (mod p). So the values of * k which should be worked on are k = (-a*b^-1 mod p) + i * p, * for i = 0, 1, 2,... * * Note how this is still easy to use with very large b, if you need it. * It just requires computing (b mod p) and then finding the multiplicative * inverse of that. * * * How large a space to search to ensure that one will hit a prime? * The average density is known, but the primes behave oddly, and sometimes * there are large gaps. It is conjectured by shanks that the first gap * of size "delta" will occur at approximately exp(sqrt(delta)), so a delta * of 65536 is conjectured to be to contain a prime up to e^256. * Remembering the handy 2<->e conversion ratios: * ln(2) = 0.693147 log2(e) = 1.442695 * This covers up to 369 bits. Damn, not enough! Still, it'll have to do. * * Cramer's conjecture (he proved it for "most" cases) is that in the limit, * as p goes to infinity, the largest gap after a prime p tends to (ln(p))^2. * So, for a 1024-bit p, the interval to the next prime is expected to be * about 709.78^2, or 503791. We'd need to enlarge our space by a factor of * 8 to be sure. It isn't worth the hassle. * * Note that a span of this size is expected to contain 92 primes even * in the vicinity of 2^1024 (it's 369 at 256 bits and 492 at 192 bits). * So the probability of failure is pretty low. */#if HAVE_CONFIG_H#include "config.h"#endif#if !NO_ASSERT_H#include <assert.h>#else#define assert(x) (void)0#endif#if HAVE_LIMITS_H#include <limits.h> /* For UINT_MAX */#endif /* If not avail, default value of 0 is safe */#if HAVE_STRING_H#include <string.h> /* for memset() */#elif HAVE_STRINGS_H#include <strings.h>#endif#if NEED_MEMORY_H#include <memory.h>#endif#include "bn.h"#include "sieve.h"#ifdef MSDOS#include "lbnmem.h"#endif#include "kludge.h"/* * Each array stores potential primes as 1 bits in little-endian bytes. * Bit k in an array represents a + k*b, for some parameters a and b * of the sieve. Currently, b is hardcoded to 2. * * Various factors of 16 arise because these are all *byte* sizes, and * skipping even numbers, 16 numbers fit into a byte's worth of bitmap. *//* * The first number in the small prime sieve. This could be raised to 3 * if you want to squeeze bytes bytes out aggressively for a smaller SMALL * table, and doing so would let one more prime into the end of the array, * but there is no sense making it larger if you're generating small primes * up to the limit if 2^16, since it doesn't save any memory and would * require extra code to ignore 65537 in the last byte, which is over the * 16-bit limit. */#define SMALLSTART 1/* * Size of sieve used to find large primes, in bytes. For compatibility * with 16-bit-int systems, the largest prime that can appear in it, * SMALL * 16 + SMALLSTART - 2, must be < 65536. Since 65537 is a prime, * this is the absolute maximum table size. */#define SMALL (65536/16)/* * Compute the multiplicative inverse of x, modulo mod, using the extended * Euclidean algorithm. The classical EEA returns two results, traditionally * named s and t, but only one (t) is needed or computed here. * It is unrolled twice to avoid some variable-swapping, and because negating * t every other round makes all the number positive and less than the * modulus, which makes fixed-length arithmetic easier. * * If gcd(x, mod) != 1, then this will return 0. */static unsignedsieveModInvert(unsigned x, unsigned mod){ unsigned y; unsigned t0, t1; unsigned q; if (x <= 1) return x; /* 0 and 1 are self-inverse */ /* * The first round is simplified based on the * initial conditions t0 = 1 and t1 = 0. */ t1 = mod / x; y = mod % x; if (y <= 1) return y ? mod - t1 : 0; t0 = 1; do { q = x / y; x = x % y; t0 += q * t1; if (x <= 1) return x ? t0 : 0; q = y / x; y = y % x; t1 += q * t0; } while (y > 1); return y ? mod - t1 : 0;}/* * Perform a single sieving operation on an array. Clear bits * "start", "start+step", "start+2*step", etc. from the array, * up to the size limit (in BYTES) "size". All of the arguments * must fit into 16 bits for portability. * * This is the core of the sieving operation. In addition to being * called from the sieving functions, it is useful to call directly * if, say, you want to exclude primes congruent to 1 mod 3, or * whatever. (Although in that case, it would be better to change * the sieving to use a step size of 6 and start == 5 (mod 6).) * * Originally, this was inlined in the code below (with various checks * turned off where they could be inferred from the environment), but * it turns out that all the sieving is so fast that it makes a * negligible speed difference and smaller, cleaner code was preferred. * * Rather than increment a bit index through the array and clear * the corresponding bit, this code takes advantage of the fact that * every eighth increment must use the same bit position in a byte. * I.e. start + k*step == start + (k+8)*step (mod 8). Thus, a * bitmask can be computed only eight times and used for all multiples. * Thus, the outer loop is over (k mod 8) while the inner loop is * over (k div 8). * * The only further trickiness is that this code is designed to accept * start, step, and size up to 65535 on 16-bit machines. On such * a machine, the computation "start+step" can overflow, so we need * to insert an extra check for that situation. */voidsieveSingle(unsigned char *array, unsigned size, unsigned start, unsigned step){ unsigned bit; unsigned char mask; unsigned i;#if UINT_MAX < 0x1ffff /* Unsigned is small; add checks for wrap */ for (bit = 0; bit < 8; bit++) { i = start/8; if (i >= size) break; mask = ~(1 << (start & 7)); do { array[i] &= mask; i += step; } while (i >= step && i < size); start += step; if (start < step) /* Overflow test */ break; }#else /* Unsigned has the range - no overflow possible */ for (bit = 0; bit < 8; bit++) { i = start/8; if (i >= size) break; mask = ~(1 << (start & 7)); do { array[i] &= mask; i += step; } while (i < size); start += step; }#endif}/* * Returns the index of the next bit set in the given array. * The search begins after the specified bit, so if you care * about bit 0, you need to check it explicitly yourself. * This returns 0 if no bits are found. * * Note that the size is in bytes, and that it takes and returns * BIT positions. If the array represents odd numbers only, * as usual, the returns values must be doubled to turn them into * offsets from the initial number. */unsignedsieveSearch(unsigned char const *array, unsigned size, unsigned start){ unsigned i; /* Loop index */ unsigned char t; /* Temp */ if (!++start) return 0; i = start/8; if (i >= size) return 0; /* Done! */ /* Deal with odd-bit beginnings => search the first byte */ if (start & 7) { t = array[i++] >> (start & 7); if (t) { if (!(t & 15)) { t >>= 4; start += 4; } if (!(t & 3)) { t >>= 2; start += 2; } if (!(t & 1)) start += 1; return start; } else if (i == size) { return 0; /* Done */ } } /* Now the main search loop */ do { if ((t = array[i]) != 0) { start = 8*i; if (!(t & 15)) { t >>= 4; start += 4; } if (!(t & 3)) { t >>= 2; start += 2; } if (!(t & 1)) start += 1; return start; } } while (++i < size); /* Failed */ return 0;}/* * Build a table of small primes for sieving larger primes with. * This could be cached between calls to sieveBuild, but it's so * fast that it's really not worth it. This code takes a few * milliseconds to run. */static voidsieveSmall(unsigned char *array, unsigned size){ unsigned i; /* Loop index */
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