20120410, 08:51  #1 
"Frank <^>"
Dec 2004
CDP Janesville
2×1,061 Posts 
Can someone run a couple of poly searches for me?
I was hoping someone would have the time and resources to run a couple of poly searches for me. (Believe it or not, I decided to buy a GPU to run some projects on, but didn't realize msieve uses Nvidia rather than the ATI that I bought....it pays to check first!)
The first is a c151 from 572000:i3094: Code:
2119140345775000108180962800888015075769919837681286337336416586905122205436924899536701602539379676667489862940462606633001801302615803564132806646527 Code:
639818713524495629538702644398102175871519663684229775565480903998487599472886004787307388009209457487386090128633004519078074161082111880734247598519847 [EDIT: I'm hoping I can do them a little faster than the last couple of c15x jobs I did if I have a (more) decent poly.....] Last fiddled with by schickel on 20120410 at 08:53 Reason: adding PS 
20120410, 15:37  #2 
Nov 2010
2×5^{2} Posts 
Try this one for the c153.
Code:
n: 639818713524495629538702644398102175871519663684229775565480903998487599472886004787307388009209457487386090128633 deg: 5 skew: 523854 c5: 34756680 c4: 5266016511076 c3: 29995600624358361218 c2: 360079237313642767836789 c1: 2964946819160389790182814124390 c0: 63006984115844908195013033867842800 Y1: 428681183752426013 Y0: 112980548970114676128587090489 # m: 5131382905518585018495790672707506529455054822008532962260546524623400134994083111014129201125322601830748977034 # norm: 1.558301e+21 # alpha: 6.725791e+00 # murphy_e: 3.524674e12 
20120410, 17:46  #3  
"Frank <^>"
Dec 2004
CDP Janesville
2×1,061 Posts 
Quote:


20120411, 08:24  #4 
Apr 2010
158_{10} Posts 
Here are some Polys for the c151 with Murphy above 5e12. I didn't do any testsieving so I don't know which one is the best.
Code:
# norm 1.436519e14 alpha 6.373245 e 5.333e12 rroots 5 skew: 826298.12 c0: 20845566678164297365120804561756705 c1: 183294175802435976662843101867 c2: 2477653833691984307550241 c3: 1500710162407695595 c4: 3387135843768 c5: 303240 Y0: 93083802748178365489228305348 Y1: 50774633142117043 # norm 1.418318e14 alpha 6.930302 e 5.289e12 rroots 5 skew: 1835730.88 c0: 82815140119816432465056299833490720 c1: 5681578590449662888712750738744 c2: 8412717872557527052674616 c3: 3334831675722595883 c4: 2076031905768 c5: 402696 Y0: 87950721685558702461613852347 Y1: 574803280795475831 # norm 1.411744e14 alpha 5.548414 e 5.283e12 rroots 5 skew: 886423.30 c0: 26555535096681986150415217156944000 c1: 102045801315230312254936098516 c2: 1173381052126279136450844 c3: 830408978575928693 c4: 1463848987804 c5: 204516 Y0: 100713801366198969390446374939 Y1: 405376078854585133 # norm 1.353711e14 alpha 6.128619 e 5.194e12 rroots 3 skew: 1385667.62 c0: 75486620634676097091282234634648275 c1: 1274714303067357415392086545455 c2: 51674158425751281959109 c3: 1946356708187504659 c4: 850365410344 c5: 204516 Y0: 100713558166090349607205438318 Y1: 405376078854585133 # norm 1.373296e14 alpha 6.193639 e 5.070e12 rroots 5 skew: 1474887.67 c0: 1700940406413034553879044098357857028 c1: 1959433932728088480876706655796 c2: 3287162790508621978788219 c3: 2454677018300970782 c4: 1993355023160 c5: 302640 Y0: 93120714196329552804201303461 Y1: 61879896886832137 # norm 1.285081e14 alpha 5.869421 e 5.031e12 rroots 3 skew: 1336775.79 c0: 12555211792437348741530435237557365 c1: 1127439682400476824013798698447 c2: 816538447743226651810659 c3: 1273883666325951763 c4: 1032932753224 c5: 204516 Y0: 100713630540313963989416743606 Y1: 405376078854585133 # norm 1.303593e14 alpha 6.474448 e 5.021e12 rroots 3 skew: 1761452.94 c0: 1378929369151656833474677995565906608 c1: 2383742248887901356908810518272 c2: 3092242137603604808187317 c3: 1955840148157053758 c4: 1767332316010 c5: 107100 Y0: 114624617579907696437145817979 Y1: 307875930233096759 # norm 1.318960e14 alpha 7.214836 e 5.017e12 rroots 3 skew: 1557188.76 c0: 40721056008484718287780464636378120 c1: 3716708849833597523245141215698 c2: 1149604206475581903526983 c3: 3386881447048054356 c4: 3606976735796 c5: 104880 Y0: 115105223808476848502333242393 Y1: 62628908437674203 
20120411, 11:02  #5 
"Frank <^>"
Dec 2004
CDP Janesville
2×1,061 Posts 
Thank you for that run. I'll have to decide which one I want to run first; I put them both on hold so long ago, I don't remember which has a higher priority....

20120412, 13:06  #6 
"Frank <^>"
Dec 2004
CDP Janesville
4112_{8} Posts 

20120426, 12:25  #7  
"Frank <^>"
Dec 2004
CDP Janesville
84A_{16} Posts 
Quote:
Code:
Thu Apr 26 05:20:33 2012 matrix is 3478570 x 3478796 (1017.9 MB) with weight 261412505 (75.14/col) Thu Apr 26 05:20:33 2012 sparse part has weight 232039396 (66.70/col) Thu Apr 26 05:20:33 2012 using block size 21845 for processor cache size 512 kB Thu Apr 26 05:20:54 2012 commencing Lanczos iteration (2 threads) Thu Apr 26 05:20:54 2012 memory use: 841.8 MB Thu Apr 26 05:22:09 2012 linear algebra at 0.0%, ETA 45h52m Thu Apr 26 05:22:33 2012 checkpointing every 80000 dimensions 

20120426, 16:49  #8 
Tribal Bullet
Oct 2004
3534_{10} Posts 
What machine is this running on? Does it actually have a 512kB L2 or do I have to mess with the cache detection code again?

20120426, 19:07  #9 
"Serge"
Mar 2008
Phi(4,2^7658614+1)/2
2×4,663 Posts 
Xeons regularly report this size and have a tiny block as a result.

20120427, 06:39  #10 
"Frank <^>"
Dec 2004
CDP Janesville
2×1,061 Posts 
Machine info from CPUZ:

20120427, 10:08  #11 
Tribal Bullet
Oct 2004
DCE_{16} Posts 
Okay, looks like the current code is correct then. AMD machines have a relatively simple way of reporting cache sizes, and Intel machines added a similar mechanism around 2010. The problem is that some Xeon machines still have trouble, as Serge has pointed out.

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