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Welcome to llrCUDA program Version 3.8.9 ! 0) What is new or recent in this version : - Two new ABC format input files can now be processed, that are : ABC($a^$b$c)^2-2 which is Extended Square minus two, or Near Square. (Note : $a being even and $c = +-1, a Morrison test is always possible.) ABC$a^$b-$a^$c$d which can be processed as k*b^n+c if $b > $c Also, a new feature in this version is to allow the access to sqrt(-1) modulo P when P is a Proth or Gaussian Mersenne norm prime. To do that, four options are implemented : -oPrtsqrtm1=<base> : print data if 2<=base<=36 , 64bit residue if base = 1 -oSvtsqrtm1=<base> : Save the data on disk as characters in this base. -oSvzsqrtm1=1 : Save the data on disk in raw GMP form. -oSvgsqrtm1=1 : Save the data on disk to be read further in giant format. I implemented the patch sent to me by Serge Batalov to process the special case of Phi(3,-b^n)=b^2n-b^n+1 using the pattern (ABC $a^$b-$a^$c+1) for the input file. Using the modulus b^3n+1=(b^2n-b^n+1)(b^n+1) allows to benefit fully from the speed of DWT for the Pocklington algorithm. Serge got recently the largest known non-Mersenne prime with this method. And now, some minor updates : - UseCharCode=1 is no more required to have a correct .res file. - OLDRES64 is no more written by default. - NextFFTifNearLimit option is now set to FALSE by default. I added two new ABC formats, principally to help PRP searchers. - k*b^n+c format with k, b, c fixed, for example : ABC 22*17^n+13 - (k*b^n+c)/d format with k, b, c, d fixed, for example : ABC (1*16^n+619)/5 - In Proth or LLR tests, even values of k yield a false result... These bugs are now fixed. May 2022 : The range of available FFT lengthes has been extended using SSE2 Woltman's tables. This allowed this version to test successfully M82589933 in less than 8 days! In previous Version 3.8.4, one call to free() function was missing in Gerbicz error checking code ; this caused an important memory leak... This issue is now fixed here! No much new feature, but some improvements related to reliability and speed. - I implemented the patch sent to me by Serge Batalov, and the new ABC Format : ABC DivPhi($a*$b^$c+1) may be used to do these tests. - By default, all tests on base two numbers use Gerbicz error checking. This is the case for PRP Fermat and SPRP tests as in Prime95 or Mprime, but also for the deterministic prime tests of Proth numbers. LLR tests on Riesel numbers are only done after a positive Fermat PRP result. Also, if b==2, k==+1 and abs(c)==1, a random shift on the PRP base is done. It is especially interesting for the prime test of Gaussian Mersenne norms. 1) Main features : llrCUDA is a GPU version of the LLR program. It is a primality proving program for numbers of the form N = k*b^n +/- 1, (k < b^n), or numbers which can be rewritten in this form, like Gaussian-Mersenne norms or b^n-b^m +/- 1 with n>m (new feature). The identity Phi(3,-X) = X^2-X+1 is now used with X=b^n to search for Generalized Unique Primes. It can also do strong and efficient PRP tests on more general k*b^n+c forms, on Wagstaff numbers (2^p+1)/3, repunits (10^p-1)/9 and generalized repunits (b^p-1)/(b-1), b!=2. In this version, the base b can be an arbitrary large integer (however restricted to 64 bits for fixed b formats). This is especially useful while testing Generalized Fermat numbers. This version must be built on 64bit Linux platforms, and the prefactoring code is not available. This affects only the Gaussian-Mersenne norm and Wagstaff tests, for which the prefactoring must be done using a 32bit program. This program is linked with cuda and cufft codes versions 8.0.44 It uses George Woltman's 1/k method IBDWT for k's up to 19 bits, << Rational Base DWT for larger k's up to maximal double << Rational base DWT and generic reduction for larger k's or base != 2 It uses GPU code written by Shoichiro Yamada for IBDWT, << extended further to Rational Bases and Generic reduction. - In all versions of LLR, a simple trial division test was done for candidates not larger than 32 bits ; now, an APR-CL test as been added as a new feature in all primality or PRP tests, for all candidates that cannot be tested using the GPU code, for being too small. - The two (mutually exclusive) options -oRising_ns=1 and -oRising_ks=1 have been added in this version. They allow to process an input file while it is sieved by another process of the same machine (LLR closes the file during the test of the current candidate, to allow its updating by the sieve). 2) User interfaces of llrCUDA : --> "llrCUDA" is the dynamically linked application on Linux. It is the only one available for now... 3) How to use LLR : - Command line application llrCUDA - First, you may type : llrCUDA -h to get the online help information... - To use the program in BATCH MODE, type : >llrCUDA [-d] [-a<nnnn>] [-w<dir.>] [-o<keyw.>=<val.>]... <input file name> (If you ommit -d, the program will work silently!) - To test a SINGLE k*b^n+c or b^n-b^m+c number, type : >llrCUDA [-d] [-a<nnnn>] [-w<dir.>] [-o<keyw.>=<val.>]... -q"expression" - To use the program in INTERACTIVE MODE, type : >llrCUDA -m [-a<nnnn>] [-w<dir.>] [-o<keyw.>=<val.>]... then, you get the main menu, and continue according to your choice(s). 4) Input, output and intermediate data : llrCUDA can take its INPUT DATA from Newpgen output files, and also from some particular ABC format files. The file name is the user's choice. Except when testing a single number, using -q"k*b^n+c", the successful results (prime or PRP) are always registered in an OUTPUT FILE ; again, the file name is the user's choice, but the format of this file is the same as the input file's one. So, it can be used as input for another program. In all cases, the results are all registered in a RESULT FILE, (not to be confused with the output file). Its default name is "lresults.txt". When using the command flag -a<nnnn>, its name is "lresu<nnnn>.txt" Default, working and user's OPTIONS are registered in a .INI FILE Its name is "llr.ini" (default), or "llr<nnnn>.ini" if using -a<nnnn>. These data are needed when stopping and resuming a job. To avoid the need to restart a test from the beginning, after a crash or an user's stop, intermediate data are registered at regular intervals, or when stopping, in a temporary file, which is automatically named by the program, and removed when the test is completed. Its name is a letter followed by 7 digits computed after the candidate value currently tested. 5) Main user options (not set by default) : Verbose=1 : Get more details in the results file (default : 1 line/result). StopOnSuccess=1 : Stop the job when a prime or PRP is found. BeepOnSuccess=1 : Make noise at a positive result, if both Stop and Beep are set, make noise until stopped by the user! StopOnPrimedK=<number> : after <number> sucesses with this k value, skip further pairs having the same k value (usually, <number> = 1). StopOnPrimedN=<number> : Same thing, involving the value of n. StopOnPrimedB=<number> : Same thing, involving the base value. Verify=1 : Suppress prefactoring or previous PRP test. ErrorCheck=1 : Check errors on each iteration (it's time consuming!). Testdiff=1 : Check sum inputs != sum outputs (only for real FFT's, c<0). 6) Options used to change a default value : OutputIterations=<number> : Nb. of iters between outputs (def. 10,000). DiskWriteTime=<number> : Time elapsed between disk savings (def. 30mn.). FBase=<number> : The base for the Fermat PRP test (default is 3). PBase=<number> : The starting P value for a Lucas test (default is 3). MaxRestarts=<number> : Max. restarts of an N+1 or N-1 test (default 10). MaxN=<number> : Stop the batch when this exponent value is reached... - There are several other values you have almost no reason to change... 7) More special options : ForcePRP=1 : Do only a PRP test, even if a deterministic one is possible. LucasPRPtest=1 : For a PRP test, use only the Lucas+Frobenius algorithm. FermatPRPtest=1 : For a PRP test, use only the Fermat SPRP algorithm. (The default is Fermat SPRP, followed by Frobenius on positive results) TestGM=1 : Register the Gaussian-Mersenne norm if it is prime (default). TestGQ=1 : Register the associated (2^p+-2^((p+1)/2)+1)/5 if it is PRP. VrbaReixTest=1 : Test a Wagstaff number using the Vrba-Reix algorithm. (the default is to do a strong Fermat PRP test) DualTest=1 : Test again a Wagstaff PRP with the alternate algorithm. 8) Input file formats : - In previous versions, the format of input data was known by LLR according to the very first (header) line. In this new version, you may now have MULTIPLE DATA FORMATS in the same input file, because data format descriptors can be inserted anywhere in the file. In return of that, if an invalid descriptor is found, input lines are flushed until finding the next valid one...And, indeed, the first input line must be a valid descriptor! - The NEWPGEN DESCRIPTOR has five fields separated by colons : <sieved to>:<letter code>:<chain length>:<base>:<mask> for example 1:P:1:2:1 for a Proth test, 1:M:1:2:2 for a Riesel one. - The second and last field describe the expression to be tested. (yes, it is redundant, the mask overrides the letter and should be preferred) - <base> is the value of b in k*b^n+c - <chain length> should be 1, excepted for Cunnigham chains. - <sieved to> integer is ignored by LLR (only copied in output file). - All NewPgen file formats are accepted, except the Primorial ones. - For more details, consult in-line help of NeWPgen or Appendix below. - Moreover, LLR accepts these ABC FORMAT DESCRIPTORS : - Two numbers per data line formats : - Fixed k and c : ABC%d*$a^$b+%d or ABC%d*$a^$b-%d - Fixed b and c : ABC$a*%d^$b+%d or ABC$a*%d^$b-%d - Fixed n and c : ABC$a*$b^%d+%d or ABC$a*$b^%d-%d - Three numbers per data line formats : - Fixed k : ABC%d*$a^$b$c - Fixed b : ABC$a*%d^$b$c - Fixed n : ABC$a*$b^%d$c - Fixed c : ABC$a*$b^$c+%d or ABC$a*$b^$c-%d - General k*b^n+c format (four numbers per data line) : - ABC$a*$b^$c$d - Some special ABC formats : - ABC$a^$b+1 : Generalized Fermat candidates - ABC4^$a+1 : Gaussian-Mersenne norm candidates - ABC$a^$b-$a^$c-1 : a^b-a^c-1 candidates - ABC$a^$b-$a^$c+1 : a^b-a^c+1 candidates - ABC(2^$a+1)/3 : Wagstaff PRP candidates - ABC(10^$a-1)/9 : Repunits PRP candidates - ABC($a^$b-1)/($a-1) : Generalized Repunits PRP candidates - ABC$a*$b^$a$c : (Generalized) Cullen/Woodall candidates - ABC(2^$a$b)^2-2 : near-square (ex-Carol/Kynea) candidates - ABC$a$b$c : Used to launch a Wieferich prime search, the range being $b to $b and the base $c (new feature!) - ABC$a$b : Used to test a Wieferich prime candidate $a, base $b - ABC$a : General APR-CL primality test of number $a 9) Basic Algorithms : - The base two numbers (with k<2^n) are the fastest to test : k*2^n+1 numbers are tested using the Proth algorithm. k*2^n-1 numbers are tested using the Lucas-Lehmer-Riesel algorithm. - Non base two numbers (with k<b^n) : k*b^n+1 numbers are tested using the N-1 Pocklington algorithm. k*b^n-1 numbers are tested using the N+1 Morrison algorithm. - K*b^n+c numbers with |c| <> 1 or k > b^n can only be PRP tested. If the number is found PRP, the % of factorization is then shown, but note that it is relevant only if c == +1 or -1... 10) Special algorithms : - GAUSSIAN-MERSENNE NORMS are tested for primality by using the factorization : 4^p+1 = (2^p+2^((p+1)/2)+1)(2^p-2^((p+1)/2)+1) if p is prime, one factor may be prime, and then, is the norm of a prime complex Gauss integer of the form (1+or-i)^p-1. 5 divides always the second factor, but the quotient by 5 may be also prime. The algorithm is fast, because squarings are done modulo 4^p+1. Moreover, the primality test of the GM factor, and the PRP test of the quotient GQ are done in the same loop. - The test of WAGSTAFF NUMBERS W = (2^p+1)/3 can be done with two algorithms : a strong Fermat PRP, and/or the Vrba-Reix algorithm. Both are fast, because the squarings are done modulo 2^p+1. The Vrba-Reix algorithm, proposed by Tony Reix and Anton Vrba, is similar to Lucas-Lehmer for Mersenne or Fermat numbers, but with 3/2 modulo W as a seed. Both tests are known as a necessary condition for primality. For now, the Vrba-Reix test is only a PRP test. It has not yet been proved to be a primality test for Wagstaff numbers. 11) Error checking and recovery : - Error checking is done on the first and last 50 iterations, before writing an intermediate file (either user-requested stop or a 30 minute interval expired), and every 128th iteration. - After an excessive (> 0.40) and reproducible round off error, the iteration is redone using a slower and more reliable method. - If this error was not reproducible, or if the iteration fails again, the test is restarted from the last save file, using the next larger FFT length... Appendix : - Complements about NewPGen descriptors : - The letter is a one character code as follows : P : k.b^n+1 (Plus) M : k.b^n-1 (Minus) T: k.b^n+-1 (Twin) S: k.b^n-1; k.b^(n+1)-1 (Sophie Germain (CC 1st kind len 2)) C: k.b^n+1; k.b^(n+1)+1 (CC 2nd kind len 2) B: k.b^n+-1; k.b^(n+1)+-1 (BiTwin) J: k.b^n+-1; k.b^(n+1)-1 (Twin/SG) K: k.b^n+-1; k.b^(n+1)+1 (Twin/CC) Y : k.b^n+1 + others (Lucky Plus) Z : k.b^n-1 + others (Lucky Minus) 1: CC 1st kind chain 2: CC 2nd kind chain 3: BiTwin chain - NEWPGEN output files use the mask as defined below : 0x01 : k.b^n+1 0x02 : k.b^n-1 0x04 : k.b^(n+1)+1 0x08 : k.b^(n+1)-1 0x10 : k.b^(n+2)+1 0x20 : k.b^(n+2)-1 0x40 : PRIMORIAL - can't handle this 0x80 : k.b^n+5 0x200 : 2^n+2k-1 0x400 : MODE_NOTGENERALISED, so : 0x404 : 2k.b^n+1 0x408 : 2k.b^n-1 0x410 : 4k.b^n+1 0x420 : 4k.b^n-1 0x800 : k.b^n+7 0x1000 : 2k.b^n+3 0x8000 : MODE_DUAL, so : 0x8001 : b^n+k 0x8002 : b^n-k
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