C167_3408_1608
 

[code]
prp64 factor: 2678481158977753273679547556455011874186982297657962086452195309
prp103 factor: 7197782349139844391411466860696285050352067890796094886329086274040158759635570371935098370649864248327
[/code]

Reserving C189_147_41 for post processing.

P42_7_minus_1 factored
 

155.5 hours to solve a 14.2M matrix on Core-i5, -t 4, using target_density=106 (TD=112 failed).
[CODE]p92 factor: 18451859743529547149760485001446389586823399007727358015708942546179588615570905282536296807
p105 factor: 521154354861522302288734283430026567621266597956012925964101100004473158171795450383412594744159315810843[/CODE]

C202_149_37 completed - 36 hours for 8.44M matrix with TD=130

[CODE]prp86 factor: 48894746053369317332712195445798023853027194181762459053882580933629603176550242014637
prp116 factor: 20615124867659438785212002823018517282237833650001261358550785666328397826471420433224594995968166369229350931784299
[/CODE]

Reserving 5519_59_minus1 and 88887_225 for post processing.

C224_147_40 completed - 43 hours for 9.3M matrix with TD=120

[CODE]prp68 factor: 27954497509537991568719623616188782322183531646871409940041454838197
prp157 factor: 1011215342562907140939910037872844840093534504086727780767567225294419296760143952117953195096382053233130625802104214926352963481682034191114336976528127167[/CODE]

C233_128_67
 

[CODE]p59 factor: 42011736291751946863027162166638524339005202697933984895459
p75 factor: 153176713332615391300842647329243748455432989078571558857128949562511608889
p100 factor: 9435585596449866249134587233162063184366706239238395466335800793355228695561269943640759898225745867[/CODE]

Reserving 31333_223 for post-processing.

Reserving C162_145_107 and 11131_225 for postprocessing.

Reserving C225_144_86 for postprocessing.

Hi

As i dont have enough space in memory for store a large matrix and have just one computer for linear algebra stage, i might consider the idea of storing matrix in hard disk, load
parts of matrix in memory to solve it and after merge results ?