20100927, 13:53  #1 
Nov 2003
2^{2}×5×373 Posts 
Parameter Underestimation
I am currently sieving 2,2166L.
I have been slowed down somewhat by electrical system shutdowns and network shutdowns for maintenence. However, my biggest slowdown has been a misestimate for the input parameters. I am using factor base bounds of 86million and 14million for the rational and algebraic polynomials respectively. I am using 30 bit large primes for both, and a sieve region of 8K x 16K for each special q. I had orginally estimated that I would need about 12 million special q's. I am already at 14 million and have only about 77% of the needed relations. Further, the yield rate is now quite low: only about 3.2 relations per q. I am going to have to do quite a bit more sieving that I anticipated. YECH. 
20100929, 00:58  #2 
Nov 2003
2^{2}×5×373 Posts 
Siever Bug
I just found an interesting bug in my siever. I discovered it while
making some improvements, including a larger sieve region. Here is one instance. For special_q = 256300217 with root 137499035, my lattice reduction routine returned (36738082, 6593) (137499035, 1) This is not correct. The problem, of course is integer overflow. The routine uses signed ints. Of course, since the reduced lattice is wrong, everything that follows is wrong and no relations get produced. I had been getting a very low relation yield rate for the larger special q's on my current factorization. This explains it. I've been losing valid relations. I am going to have to change the latred routine to use 64 bit ints. 
20100929, 03:38  #3  
Nov 2003
1D24_{16} Posts 
Quote:
We hope that norm(c + d alpha) is smooth. Let v1, v2 be the reduced lattice row vectors for some special_q. Then (c,d) = i*v1 + j*v2 where (i,j) is a point in the reduced lattice. i and j are bounded by the size of the sieve region, but for large special_q, it is possible that eiither i*v1 or j*v2 (or both) may overflow, giving a wrong value for c and/or d when they are defined as signed 32bit ints. I will need to deal with this as well. Does anyone know if GGNFS uses 64bits for any/all of these variables? For 2,2166L, I am now sieving special_q near 250 million. The average yield is now only about 3 relations/q. A fair fraction of the q's produce no relation at all. I may need to fix my code, and go back and RESIEVE a large set of q's that I have already done. 

20100929, 04:30  #4  
Nov 2003
1D24_{16} Posts 
Quote:
thinking about the difficulties. It is clear that I need to fix the lattice reduction. However, the problem with (c,d) possibly overflowing still remains. It would take a MAJOR rewrite to allow (c,d) to exceed 32 bits. And the CWI tools can only handle 30bit (c,d) as well. It is also how to proceed with my current effort. I can let the siever keep running, on everlarger special q's. But the yield rate will only get worse. At the current rate I will need to sieve another 6 million special q's. I have already sieved through 14 million of them. Or I can fix the latred problems (which will take time) and go back and resieve q's that have already been done. I have reserved 2,1870L, but may have to release it until I can fix my siever. 

20100929, 04:46  #5 
"Serge"
Mar 2008
Phi(4,2^7658614+1)/2
22160_{8} Posts 
In redu2.c, the GGNFS/Franke siever uses double in the variant of the code that is used by practically everyone. However, the very latest version has the gmp mpz_t version:
int reduce2(i32_t*,i32_t*,i32_t*,i32_t*,i64_t,i64_t,i64_t,i64_t,double); int reduce2gmp(i64_t*,i64_t*,i64_t*,i64_t*,mpz_t,mpz_t,double); Code:
@ Note that we dont use lattice reduction to organize sieving with the factor base primes which are larger than the line length. Instead, we use a method based on the relation with continued fractions and diophantine approximations. Therefore, the code contained in this file is not time crtitical. @(redu2.h@>= int reduce2(i32_t*,i32_t*,i32_t*,i32_t*,i64_t,i64_t,i64_t,i64_t,double); int reduce2gmp(i64_t*,i64_t*,i64_t*,i64_t*,mpz_t,mpz_t,double); @ This is done in the straigthforward way. A basis is given by the fifth to eighth argument (a0,b0), (a1,b1). The reduced basis is written to the addresses given by the first four arguments. The ninth argument will often be larger than 1 an punishes large b. As a safeguard against numerical instability, the scalar products are recalculated from the modified vectors after each reduction step and not updated in a way which would save multiplications. Note again that this function is not likely time critical for lattice sieving. The scalar products of the two vector with themselves are called a0sq and a1sq. Their scalar product is called s. 
20100929, 06:32  #6  
May 2008
3×5×73 Posts 
Quote:
Assuming you are sieving the specialq on the rational side, I think it should not be too difficult to allow composite specialq's (on the algebraic side it would take more work). Might be worth doing as a quick measure to finish your current job. 

20100929, 11:38  #7  
Nov 2003
2^{2}·5·373 Posts 
Quote:
If norm(a + balpha)/(pq) is smooth, it will have been found with either special_q = p, or special_q = q (or both!) 

20100929, 11:41  #8  
Nov 2003
2^{2}×5×373 Posts 
Quote:
single precision ints? Even if I fix the latred problem, I am still faced with losing valid relations (c,d) = i * V1 + j * V2, when the multiplications overflow 32 (signed) bits. 

20100929, 11:59  #9 
Tribal Bullet
Oct 2004
2·3·19·31 Posts 
Msieve doesn't have a lattice sieve at all. Both the line sieve and the postprocessing can handle 63bit signed 'a' and 32bit 'b' values.
Perhaps the most expedient solution is to use the Kleinjung siever to resieve enough, then postprocess the generated relations into CWI format (which is easy). 
20100929, 12:36  #10  
Nov 2003
2^{2}×5×373 Posts 
Quote:


20100929, 14:56  #11  
Nov 2003
7460_{10} Posts 
Quote:
of Visual Studio at work produces code that segfaults with a release (nondebug) version. The debug version runs just fine, albeit slower. I will need to rebuild everything on my home PC. I have encountered (and reported on) this problem before. 

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