High performance wrapper for CSPRNG arc4random(3)Thread-safe object cache, for read, high performance in .NETRandom number wrapper classUnbounded, High-performance(?), Generic, Thread-Safe(?), BatchedCircularQueueChange random methods without losing too much performanceHigh performance parsing for large, well-formatted text filesWrapper/abstraction for encryption and decryption using OpenSSLGenerate cryptographically secure random numbers in a specific rangeOpenSSL AES GCM Convenience Wrapper in CHigh performance primitive dynamic arrayUndo Redo pattern for high performance? C#

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High performance wrapper for CSPRNG arc4random(3)


Thread-safe object cache, for read, high performance in .NETRandom number wrapper classUnbounded, High-performance(?), Generic, Thread-Safe(?), BatchedCircularQueueChange random methods without losing too much performanceHigh performance parsing for large, well-formatted text filesWrapper/abstraction for encryption and decryption using OpenSSLGenerate cryptographically secure random numbers in a specific rangeOpenSSL AES GCM Convenience Wrapper in CHigh performance primitive dynamic arrayUndo Redo pattern for high performance? C#













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$begingroup$


This function is a wrapper for arc4random(3), a cryptographic pseudo-random number generator on macOS and BSDs, but you can also get it by installing libbsd-devel on most Linux distros.



It serves the same purpose as arc4random_uniform(3), the official wrapper for arc4random(3), i.e. to generate a nonnegative random integer less than range.



static inline unsigned random_uniform(unsigned range) 
static uint32_t random_32b;
static uint32_t full_32b;

if (full_32b < range)
random_32b = arc4random();
full_32b = UINT32_MAX;


unsigned result = random_32b % range;
random_32b /= range;
full_32b /= range;

return result;



You can find the implementation of arc4random_uniform(3) on macOS at the bottom of this page. Basically, it makes use of the rejection method to produce uniform deviates and eliminate the modulo bias. On the other hand, my implementation tries to eliminate the modulo bias by keeping track of the maximum possible range of the remaining random bytes in full_32b. What's more, it saves the unused random bytes in a static variable for future use, as a call to arc4random(3) can be costly. It appears to be faster according to my benchmark, but I'm not sure if it's correct.










share|improve this question











$endgroup$
















    0












    $begingroup$


    This function is a wrapper for arc4random(3), a cryptographic pseudo-random number generator on macOS and BSDs, but you can also get it by installing libbsd-devel on most Linux distros.



    It serves the same purpose as arc4random_uniform(3), the official wrapper for arc4random(3), i.e. to generate a nonnegative random integer less than range.



    static inline unsigned random_uniform(unsigned range) 
    static uint32_t random_32b;
    static uint32_t full_32b;

    if (full_32b < range)
    random_32b = arc4random();
    full_32b = UINT32_MAX;


    unsigned result = random_32b % range;
    random_32b /= range;
    full_32b /= range;

    return result;



    You can find the implementation of arc4random_uniform(3) on macOS at the bottom of this page. Basically, it makes use of the rejection method to produce uniform deviates and eliminate the modulo bias. On the other hand, my implementation tries to eliminate the modulo bias by keeping track of the maximum possible range of the remaining random bytes in full_32b. What's more, it saves the unused random bytes in a static variable for future use, as a call to arc4random(3) can be costly. It appears to be faster according to my benchmark, but I'm not sure if it's correct.










    share|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      This function is a wrapper for arc4random(3), a cryptographic pseudo-random number generator on macOS and BSDs, but you can also get it by installing libbsd-devel on most Linux distros.



      It serves the same purpose as arc4random_uniform(3), the official wrapper for arc4random(3), i.e. to generate a nonnegative random integer less than range.



      static inline unsigned random_uniform(unsigned range) 
      static uint32_t random_32b;
      static uint32_t full_32b;

      if (full_32b < range)
      random_32b = arc4random();
      full_32b = UINT32_MAX;


      unsigned result = random_32b % range;
      random_32b /= range;
      full_32b /= range;

      return result;



      You can find the implementation of arc4random_uniform(3) on macOS at the bottom of this page. Basically, it makes use of the rejection method to produce uniform deviates and eliminate the modulo bias. On the other hand, my implementation tries to eliminate the modulo bias by keeping track of the maximum possible range of the remaining random bytes in full_32b. What's more, it saves the unused random bytes in a static variable for future use, as a call to arc4random(3) can be costly. It appears to be faster according to my benchmark, but I'm not sure if it's correct.










      share|improve this question











      $endgroup$




      This function is a wrapper for arc4random(3), a cryptographic pseudo-random number generator on macOS and BSDs, but you can also get it by installing libbsd-devel on most Linux distros.



      It serves the same purpose as arc4random_uniform(3), the official wrapper for arc4random(3), i.e. to generate a nonnegative random integer less than range.



      static inline unsigned random_uniform(unsigned range) 
      static uint32_t random_32b;
      static uint32_t full_32b;

      if (full_32b < range)
      random_32b = arc4random();
      full_32b = UINT32_MAX;


      unsigned result = random_32b % range;
      random_32b /= range;
      full_32b /= range;

      return result;



      You can find the implementation of arc4random_uniform(3) on macOS at the bottom of this page. Basically, it makes use of the rejection method to produce uniform deviates and eliminate the modulo bias. On the other hand, my implementation tries to eliminate the modulo bias by keeping track of the maximum possible range of the remaining random bytes in full_32b. What's more, it saves the unused random bytes in a static variable for future use, as a call to arc4random(3) can be costly. It appears to be faster according to my benchmark, but I'm not sure if it's correct.







      performance beginner c random cryptography






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 5 mins ago







      nalzok

















      asked 10 mins ago









      nalzoknalzok

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