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Old 2021-07-31, 18:36   #177
richs
 
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Default 478__891_13m1 factored

Quote:
Originally Posted by richs View Post
Taking 478__891_13m1
Code:
p76 factor: 3431470368665622242184217103591598096099932327907456020495877029935727723147
p82 factor: 7615720048137620822959331660523770456031672477991612884633860118579072277536159943
Approximately 6 hours on 6 threads of a Core i7-10510U with 12 GB memory for a 2.67M matrix at TD=100.

Log attached and at https://pastebin.com/ursm0Hmb

Factors added to factordb.
Attached Files
File Type: log msieve.log (12.2 KB, 24 views)
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Old 2021-07-31, 18:36   #178
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Quote:
Originally Posted by RichD View Post
Pretty impressive. Do you know how big of a matrix can be solved on that 16G card?
It's the 32 GB version, but we need to store both the matrix and its transpose on the card in CSR format. Otherwise random reads from global memory kill performance. So we can go up to about 25M matrices, probably a little larger, on a single card.

Larger matrices can be divided across multiple GPU's with MPI. Currently, though, we have to transfer vectors off and back on the GPU for the MPI comms multiple times in each iteration, which introduces a large performance hit. I've added support for CUDA-aware MPI but OpenMPI still transfers off the card for collective reductions. MVAPICH2-GDR I think supports collective reductions on the card, but it's still being tested on the SDSC Expanse cluster. Hopefully that will be working in a few weeks. But for now quick tests show a 43M matrix on two cards in ~70 hours and an 84M matrix on four cards in ~350 hours.
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Old 2021-08-06, 06:32   #179
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275__471_7m1 is factored and posted. The 4.9M matrix took 37 minutes to solve on a V100.
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Old 2021-08-06, 10:05   #180
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Quote:
Originally Posted by frmky View Post
The 4.9M matrix took 37 minutes to solve on a V100.
It takes me longer than that to download the dataset of that size.
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Old 2021-08-08, 15:32   #181
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Default 228__877_13m1 factored

Quote:
Originally Posted by richs View Post
Taking 228__877_13m1
Code:
p71 factor: 30764958729565508484880341083575244195277785972334468896433685365982679
p84 factor: 678970423122703057140573081857968878682989180158386921603029858822918272257102908581
Approximately 12 hours on 6 threads of a Core i7-10510U with 12 GB memory for a 3.92M matrix at TD=100.

Log attached and at https://pastebin.com/4azJHm9V

Factors added to factordb.
Attached Files
File Type: log msieve.log (12.8 KB, 24 views)
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Old 2021-08-08, 15:34   #182
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Taking 261__601_13m1
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Old 2021-08-08, 23:40   #183
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Default 474__749_11m1 factored

Quote:
Originally Posted by richs View Post
Taking 474__749_11m1
Code:
p59 factor: 73119398814213571649205971000941430624353762947445533933047
p99 factor: 268848587983605823488306320117291030386483771174564863043022982200674143258795499226789114717733577
Approximately 6 hours on 6 threads of a Core i7-10510U with 12 GB memory for a 2.87M matrix at TD=100.

Log attached and at https://pastebin.com/DFSQmvg2

Factors added to factordb.
Attached Files
File Type: log msieve.log (12.5 KB, 24 views)
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Old 2021-08-13, 13:50   #184
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Default 261__601_13m1 factored

Quote:
Originally Posted by richs View Post
Taking 261__601_13m1
Code:
p62 factor: 56146592317121920255303081963338793425677534352049844673096611
p128 factor: 64457733833344456440386887077326733647815241253008397942166314360406672207208434693484135241565811229366738777648026384819776361
Approximately 14 hours on 6 threads of a Core i7-10510U with 12 GB memory for a 4.18M matrix at TD=100.

Log attached and at https://pastebin.com/P22jhaHu

Factors added to factordb.
Attached Files
File Type: log msieve.log (12.1 KB, 19 views)
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Old 2021-08-13, 13:51   #185
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Taking 274__353_7m1
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Old 2021-08-14, 13:50   #186
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Taking 7305457_31m1
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Old 2021-08-16, 16:39   #187
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274__353_7m1 is in LA. Results Tuesday morning.
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