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  2. List of hash functions - Wikipedia

    en.wikipedia.org/wiki/List_of_hash_functions

    Fast-Hash [3] 32 or 64 bits xorshift operations SpookyHash 32, 64, or 128 bits see Jenkins hash function: CityHash [4] 32, 64, 128, or 256 bits FarmHash [5] 32, 64 or 128 bits MetroHash [6] 64 or 128 bits numeric hash (nhash) [7] variable division/modulo xxHash [8] 32, 64 or 128 bits product/rotation t1ha (Fast Positive Hash) [9] 64 or 128 bits ...

  3. MurmurHash - Wikipedia

    en.wikipedia.org/wiki/MurmurHash

    MurmurHashAligned2 (32-bit, x86)—Slower, but does aligned reads (safer on some platforms). MurmurHash64A (64-bit, x64)—The original 64-bit version. Optimized for 64-bit arithmetic. MurmurHash64B (64-bit, x86)—A 64-bit version optimized for 32-bit platforms. It is not a true 64-bit hash due to insufficient mixing of the stripes. [10]

  4. Fowler–Noll–Vo hash function - Wikipedia

    en.wikipedia.org/wiki/Fowler–Noll–Vo_hash...

    The FNV_offset_basis is the 64-bit value: 14695981039346656037 (in hex, 0xcbf29ce484222325). The FNV_prime is the 64-bit value 1099511628211 (in hex, 0x100000001b3). The multiply returns the lower 64 bits of the product. The XOR is an 8-bit operation that modifies only the lower 8-bits of the hash value. The hash value returned is a 64-bit ...

  5. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...

  6. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    The meaning of "small enough" depends on the size of the type that is used as the hashed value. For example, in Java, the hash code is a 32-bit integer. Thus the 32-bit integer Integer and 32-bit floating-point Float objects can simply use the value directly, whereas the 64-bit integer Long and 64-bit floating-point Double cannot.

  7. Jenkins hash function - Wikipedia

    en.wikipedia.org/wiki/Jenkins_hash_function

    The lookup3 function consumes input in 12 byte (96 bit) chunks. [9] It may be appropriate when speed is more important than simplicity. Note, though, that any speed improvement from the use of this hash is only likely to be useful for large keys, and that the increased complexity may also have speed consequences such as preventing an optimizing compiler from inlining the hash function.

  8. Comparison of cryptography libraries - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cryptography...

    Comparison of supported cryptographic hash functions. Here hash functions are defined as taking an arbitrary length message and producing a fixed size output that is virtually impossible to use for recreating the original message.

  9. Fletcher's checksum - Wikipedia

    en.wikipedia.org/wiki/Fletcher's_checksum

    When the data word is divided into 32-bit blocks, two 32-bit sums result and are combined into a 64-bit Fletcher checksum. Usually, the second sum will be multiplied by 2 32 and added to the simple checksum, effectively stacking the sums side-by-side in a 64-bit word with the simple checksum at the least significant end. This algorithm is then ...