Topic: [XPM] [ANN] Primecoin High Performance | HP14 released! - page 92. (Read 397645 times)

Having toyed with it for hours, I can conclusively say that installing VMWare Fusion with an image of Ubuntu and compiling / running it on there yields the best results. I don't know why, it just does. Natively, compiled in Mountain Lion, I get about half the performance from the same build compiled in the VM.

I hope helps you out.

the computer im using costed me 180 bucks. its a retired rack server.

the computer im using costed me 180 bucks. its a retired rack server.

What's your CPU? Mine is two quad-core xeons. same architecture as the old core 2 duo processors... im thinking maybe im getting good speeds because of the large amount of cache i have or something?

Just wanted to say great miner!  I feel like this is probably the most optimized miner on the market right now.  Looking over the source code of the original miner and yours I think I see a way to make the miner (potentially much) faster from a mathematical standpoint rather than a code-optimization standpoint.  My optimization centers around the Primorial and the loop that occurs in main.cpp on line 4622.

Before getting into the code, it is important to realize why a primorial is helpful (if you already understand this, skip this paragraph).  With numbers on the order of 2²⁵⁶ there is about a 1 in 177 chance that a random number is prime.  If you select 8 random numbers, then, the odds of all of them being prime is about 1 in 1 quintillion--impractically low.  If you limit your search to only odd numbers, though, the odds shoot up tremendously.  Further limiting your search to numbers not divisible by 3, 5, 7, and so on can cause the odds of finding a prime number to become much, much better.  If the hash value is divisible by lots of these small numbers then multiples of that hash ± 1 will not be divisible by any of those numbers.  Thus, it is convenient to use a hash that is already a multiple of 2 * 3 * 5 * 7 * ... as it will produce far more primes than another hash.

As I understand the aforementioned loop, the program is searching for a hash that is divisible by a primorial.  Each iteration of this loop requires a hash to be generated as it increments the nonce value.  In the present form the primorail is of degree 7 (line 4579: static const unsigned int nPrimorialHashFactor = 7).  I suspect that this value is carefully chosen and it's probably ideal with the way that it is written.  However, I think there's an additional step that can be added to make the process much faster.  Increasing the degree of the primorial is incredibly expensive as it gets larger, since adding the 8th prime requires 19 times as many hashes to be checked; the 9th prime requires 23 times as many, and so on.  There is another way, though.

Prime origins are required to be in the form O = H * N where O is the origin, H is the hash, and N is any integer; H is selected to be divisible by p#7 (the primorial shown above).  If we extend this to O = H * N * P₂ where P₂ is 19 * 23 * 29 * ... * 51--a product of primes starting after the last prime used in the existing search--then the checked origin is still valid (an integer times an integer is still an integer).  This grants the benefits of searching with a higher degree primorial while not requiring a longer search for a working hash.  

Nothing is free, though, as this method inflates the size of the primes to be checked.  If the fast modular exponentiation is implemented through the same method as is used on the Fermat Primality Test Wikipedia page then the algorithmic efficiency is O(log²(n) * log(log(n)) * log(log(log(n))) ).  There should be some sweet spot of how large of a primorial to use where the increased frequency of primes more than offsets the extra time required for the fast modular exponentiation.  It's possible that the sweet spot is 0 extra primes, but I think it's worth looking into.

Just wanted to say great miner!  I feel like this is probably the most optimized miner on the market right now.  Looking over the source code of the original miner and yours I think I see a way to make the miner (potentially much) faster from a mathematical standpoint rather than a code-optimization standpoint.  My optimization centers around the Primorial and the loop that occurs in main.cpp on line 4622.

Before getting into the code, it is important to realize why a primorial is helpful (if you already understand this, skip this paragraph).  With numbers on the order of 2²⁵⁶ there is about a 1 in 177 chance that a random number is prime.  If you select 8 random numbers, then, the odds of all of them being prime is about 1 in 1 quintillion--impractically low.  If you limit your search to only odd numbers, though, the odds shoot up tremendously.  Further limiting your search to numbers not divisible by 3, 5, 7, and so on can cause the odds of finding a prime number to become much, much better.  If the hash value is divisible by lots of these small numbers then multiples of that hash ± 1 will not be divisible by any of those numbers.  Thus, it is convenient to use a hash that is already a multiple of 2 * 3 * 5 * 7 * ... as it will produce far more primes than another hash.

As I understand the aforementioned loop, the program is searching for a hash that is divisible by a primorial.  Each iteration of this loop requires a hash to be generated as it increments the nonce value.  In the present form the primorail is of degree 7 (line 4579: static const unsigned int nPrimorialHashFactor = 7).  I suspect that this value is carefully chosen and it's probably ideal with the way that it is written.  However, I think there's an additional step that can be added to make the process much faster.  Increasing the degree of the primorial is incredibly expensive as it gets larger, since adding the 8th prime requires 19 times as many hashes to be checked; the 9th prime requires 23 times as many, and so on.  There is another way, though.

Prime origins are required to be in the form O = H * N where O is the origin, H is the hash, and N is any integer; H is selected to be divisible by p#7 (the primorial shown above).  If we extend this to O = H * N * P₂ where P₂ is 19 * 23 * 29 * ... * 51--a product of primes starting after the last prime used in the existing search--then the checked origin is still valid (an integer times an integer is still an integer).  This grants the benefits of searching with a higher degree primorial while not requiring a longer search for a working hash.  

Nothing is free, though, as this method inflates the size of the primes to be checked.  If the fast modular exponentiation is implemented through the same method as is used on the Fermat Primality Test Wikipedia page then the algorithmic efficiency is O(log²(n) * log(log(n)) * log(log(log(n))) ).  There should be some sweet spot of how large of a primorial to use where the increased frequency of primes more than offsets the extra time required for the fast modular exponentiation.  It's possible that the sweet spot is 0 extra primes, but I think it's worth looking into.

My optimization centers around the Primorial and the loop that occurs in main.cpp on line 4622.

Flat profile:

Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls  ms/call  ms/call  name   
 79.89     45.84    45.84     5698     8.04     8.04  CSieveOfEratosthenes::Weave()
 10.28     51.74     5.90     5694     1.04     1.04  CSieveOfEratosthenes::CSieveOfEratosthenes(unsigned int, unsigned int, __gmp_expr<__m
pz_struct [1], __mpz_struct [1]>&, __gmp_expr<__mpz_struct [1], __mpz_struct [1]>&, CBlockIndex*)
  9.03     56.92     5.18    62611     0.08     0.91  MineProbablePrimeChain(CBlock&, __gmp_expr<__mpz_struct [1], __mpz_struct [1]>&, bool
&, unsigned int&, unsigned int&, unsigned int&, unsigned int&, unsigned int&, __gmp_expr<__mpz_struct [1], __mpz_struct [1]>&)
  0.16     57.01     0.09  7019519     0.00     0.00  FermatProbablePrimalityTest(__gmp_expr<__mpz_struct [1], __mpz_struct [1]> const&, un
signed int&)

What is the best way to get an hp build working on OS X?

Just wanted to say great miner!  I feel like this is probably the most optimized miner on the market right now.  Looking over the source code of the original miner and yours I think I see a way to make the miner (potentially much) faster from a mathematical standpoint rather than a code-optimization standpoint.  My optimization centers around the Primorial and the loop that occurs in main.cpp on line 4622.

Before getting into the code, it is important to realize why a primorial is helpful (if you already understand this, skip this paragraph).  With numbers on the order of 2²⁵⁶ there is about a 1 in 177 chance that a random number is prime.  If you select 8 random numbers, then, the odds of all of them being prime is about 1 in 1 quintillion--impractically low.  If you limit your search to only odd numbers, though, the odds shoot up tremendously.  Further limiting your search to numbers not divisible by 3, 5, 7, and so on can cause the odds of finding a prime number to become much, much better.  If the hash value is divisible by lots of these small numbers then multiples of that hash ± 1 will not be divisible by any of those numbers.  Thus, it is convenient to use a hash that is already a multiple of 2 * 3 * 5 * 7 * ... as it will produce far more primes than another hash.

As I understand the aforementioned loop, the program is searching for a hash that is divisible by a primorial.  Each iteration of this loop requires a hash to be generated as it increments the nonce value.  In the present form the primorail is of degree 7 (line 4579: static const unsigned int nPrimorialHashFactor = 7).  I suspect that this value is carefully chosen and it's probably ideal with the way that it is written.  However, I think there's an additional step that can be added to make the process much faster.  Increasing the degree of the primorial is incredibly expensive as it gets larger, since adding the 8th prime requires 19 times as many hashes to be checked; the 9th prime requires 23 times as many, and so on.  There is another way, though.

Prime origins are required to be in the form O = H * N where O is the origin, H is the hash, and N is any integer; H is selected to be divisible by p#7 (the primorial shown above).  If we extend this to O = H * N * P₂ where P₂ is 19 * 23 * 29 * ... * 51--a product of primes starting after the last prime used in the existing search--then the checked origin is still valid (an integer times an integer is still an integer).  This grants the benefits of searching with a higher degree primorial while not requiring a longer search for a working hash.  

Nothing is free, though, as this method inflates the size of the primes to be checked.  If the fast modular exponentiation is implemented through the same method as is used on the Fermat Primality Test Wikipedia page then the algorithmic efficiency is O(log²(n) * log(log(n)) * log(log(log(n))) ).  There should be some sweet spot of how large of a primorial to use where the increased frequency of primes more than offsets the extra time required for the fast modular exponentiation.  It's possible that the sweet spot is 0 extra primes, but I think it's worth looking into.

I've had the hp4 client do this once in like 72 hours. Just restart.

Do we need to adjust the sievesize in accordance to upcoming increase in difficulty?