Timeline for ParallelTable fail to distribute computation to local kernels and remote kernels
Current License: CC BY-SA 3.0
20 events
| when toggle format | what | by | license | comment | |
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| Nov 29, 2018 at 11:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 30, 2018 at 11:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 30, 2018 at 10:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Aug 31, 2018 at 9:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Aug 1, 2018 at 8:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jul 2, 2018 at 7:30 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 2, 2018 at 7:22 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 3, 2018 at 7:15 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Apr 3, 2018 at 6:24 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Mar 4, 2018 at 5:51 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 2, 2018 at 5:50 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 3, 2018 at 5:33 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Dec 4, 2017 at 5:24 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 4, 2017 at 5:20 | answer | added | Bettertomo | timeline score: 1 | |
| Nov 3, 2017 at 15:54 | comment | added | Bettertomo | @Szabolcs, things doesn't change if the code can call more kernels. | |
| Nov 3, 2017 at 15:51 | history | edited | Bettertomo | CC BY-SA 3.0 | added 253 characters in body |
| Nov 3, 2017 at 14:18 | history | edited | J. M.'s missing motivation | edited tags | |
| Nov 3, 2017 at 13:59 | comment | added | Bettertomo | Thanks, I'll try it. | |
| Nov 3, 2017 at 13:55 | comment | added | Szabolcs | ParallelTable[od[specRow[[i, j]]], {i, 1, 3}, {j, 1, 21}]; <- parallelization happens only according to the first iterator, {i, 1, 3}, meaning that this particular computation won't use more than 3 kernels. Workaround: Create the {i,j} pairs first, using Tuples, then ParallelMap an appropriate function over them. | |
| Nov 3, 2017 at 13:41 | history | asked | Bettertomo | CC BY-SA 3.0 |