[QUOTE=VBCurtis;533385]I neglected to list adrange: this should be 2x or 4x incr, since poly select runs 2threaded. That is, for incr = 420, using adrange = 840 gives one c6 value to each thread, while using adrange = 1680 gives two values to each thread per workunit. I've usually used 4x incr (=1680 here), figuring it reduces idle thread time a bit.
Also, ropteffort must be set. The rootopt phase is tiny compared to the main sizeopt search; a value like 35 or 40 "should" be effectively "try as hard as you can". Number of polys to rootopt (nrkeep, I think, in paramspeak) can be quite small for your 0.5M range, like 30 to 60. I think CADO defaults to like 200 for an entire search of this size, while I used 36 for each of my two runs.[/QUOTE] Thanks for the helpful advice. I added ropteffort = 35 though the default was 0.2(?), and all the rest you mentioned in your previous two posts. For my fist try, I cut the admax to 2.1e6, just to make sure I didn’t miss anything. Did you use default qmin? I think it’s 4e7 (or 4e8) by default, but I left it alone for this run. 
qmin doesn't affect poly select, since it merely tells the siever what Qvalue to begin at. I think I changed it to 10M anyway. I did set sieve params to values I might choose for a testsieve, so your CADO score will be different from mine (but cownoise fixes that for us).
If you add tasks.sieve.run=false to the command line, CADO will exit after poly select without building factor base/starting to sieve. 
[QUOTE=VBCurtis;533399]qmin doesn't affect poly select, since it merely tells the siever what Qvalue to begin at. I think I changed it to 10M anyway. I did set sieve params to values I might choose for a testsieve, so your CADO score will be different from mine (but cownoise fixes that for us).
If you add tasks.sieve.run=false to the command line, CADO will exit after poly select without building factor base/starting to sieve.[/QUOTE] Thanks about qmin. And yes, I used tasks.sieve.run=false in my command invocation. Also used P = 12M in the parameters. break Do you have any feel for CADO’s deg = 5 performance? IIRC, one gets better deg = 5 results with msieveGPU correct? I’m estimating a minimum search range of 35M < c5 < 55M for msieveGPU but that’s based on extrapolating my results to date so take that estimate with a grain of salt. I have yet to run any msieveGPU poly search for this c217 though I hope to start early in 2020 after finishing my current HCN efforts. 
I think they're competitive in degree 5; I won't talk folks out of using msievegpu, but when my CUDA install broke last spring I didn't bother fixing it and just shifted to using CADO for all my personal polyselect needs. If I had a GPU faster than a 750ti, I imagine I'd still be putting effort into using msieve.

[QUOTE=VBCurtis;533352]Behold:
[code]skew: 2382635.076 c0: 3987095627700723668556412616355906815127705992 c1: 10621479627429548899812810235604051573030 c2: 4682349569391313556729607478081235 c3: 18433207794474459950952563135 c4: 1015293418294354295928 c5: 1005061270114440 c6: 39916800 Y0: 110058966911042321282835020413351605 Y1: 14771789483157557668102843 # MurphyE (Bf=3.436e+10,Bg=1.718e+10,area=2.147e+16) = 1.201e08[/code]Cownoise: skew 2581491.68923 score 6.25337175e16 [/QUOTE] Msieve found a small improvement: [CODE]# norm 1.602538e15 alpha 10.543517 e 6.454054e16 rroots 6 skew: 3226967.46 c0: 2543005241608251659326321959460452765214183842 c1: 33139987534593547344167381165622666435255 c2: 15215551779833751980190681203957330 c3: 17257164061453212524534319695 c4: 1977227853181703834928 c5: 958120310818440 c6: 39916800 Y0: 110056071714162569817319860596637820 Y1: 14771789483157557668102843[/CODE] 
My best result:
[CODE] n: 3213773553731676734673029767649076184026081109505643819433123522398392216242493939130914684819990019996494667995485530318906995221039607546449005638410444687839629323036119079997039490112821634482150496640217083568211 skew: 135395.269 c0: 731803863642148184907152920695855624679056 c1: 7082389535680844516273731959418297544 c2: 215202423296858113904589199612942 c3: 314236139762316178602510253 c4: 37515382402362600715141 c5: 3515549390483760 c6: 1519015680 Y0: 108149603432644423078656532479187581 Y1: 18837068487969546705833869 # MurphyE (Bf=3.436e+10,Bg=1.718e+10,area=8.590e+17) = 1.751e09 # f(x) = 1519015680*x^63515549390483760*x^5+37515382402362600715141*x^4+314236139762316178602510253*x^3215202423296858113904589199612942*x^2+7082389535680844516273731959418297544*x731803863642148184907152920695855624679056 # g(x) = 18837068487969546705833869*x108149603432644423078656532479187581 [/CODE] Cownoise says 257289.42671 3.99079450e16 so not a high scoring poly but at least I’m getting CADO to produce something. Will continue my search to admax = 2.5e6. ETA: Now running ad = 2.1 to 2.5e6 with P=14M. 
I'll do a deg 6 poly search for this on CADO, with admin = 5e6, admax = 5.5e6 and P = 16e6 after I finish 47771_188.

I just realized I also have to finish an msieve matrix for NFS@Home as well, so I'm cancelling my run.

Taking 3e6 to 5e6 for CADO deg 6 with P=12M and other params as listed above.

admin = 2.1 and admax = 2.5e6 with P=14M generated a disappointing result:
[CODE] n: 3213773553731676734673029767649076184026081109505643819433123522398392216242493939130914684819990019996494667995485530318906995221039607546449005638410444687839629323036119079997039490112821634482150496640217083568211 skew: 559386.705 c0: 783269053626373507790443787773958091992171250 c1: 7541006308544676935957788588704394135191 c2: 7450178083390142379828586195307731 c3: 67582585756453219302354745929 c4: 93930118344551034304789 c5: 113304614208890370 c6: 14630616000 Y0: 104993607429839019815662076500592188 Y1: 18938768306573546433782113 # MurphyE (Bf=3.436e+10,Bg=1.718e+10,area=8.590e+17) = 1.918e09 # f(x) = 14630616000*x^6113304614208890370*x^593930118344551034304789*x^4+67582585756453219302354745929*x^3+7450178083390142379828586195307731*x^27541006308544676935957788588704394135191*x+783269053626373507790443787773958091992171250 # g(x) = 18938768306573546433782113*x104993607429839019815662076500592188 [/CODE] Cownoise says skew of 575076.46750 gives a score of 4.58159900e16. Nice low skew at least. Hitting 2.5e63e6 (deg 6) next, again with P=14M and other parameters as above. 
3e6 to 5e6 on CADO deg 6 complete. Best poly is underwhelming:
[code]skew: 1079681.594 c0: 50457770615217022869877235860673265892222752 c1: 265092486914500987328363191756903620546 c2: 1272306689762274825524465213573345 c3: 1158546181084523419055466666 c4: 1745276163212225808374 c5: 109670409952434 c6: 43201620 Y0: 93528774949199039661242124580223849 Y1: 7310614514345840354266259 # MurphyE (Bf=3.436e+10,Bg=1.718e+10,area=2.147e+16) = 1.051e08 [/code] cownoise: skew 1266113.52169 score 4.89683793e16 Next I'll take 10M to 30M with incr=4620 (rather than 420 used for the smaller advalues). 
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