12:47 to: ink 
can you monitor how many cores are occupied/busy? 

13:40 to: ink 
but then how to factor in your monitor which is running? 

14:06 to: ink 
the tool itself which takes a core 

14:34 to: ink 
ok 

14:39 to: Aaron Turner 
I'd also suggest memory/core peak would be useful, as this would then feed in to new procurements. It's something I've done before, but on a user rather than application basis. 

16:49 to: Cliff Addison 
DL_POLY use also dropped? 

19:12 to: Aaron Turner 
Would it be possible to get figures for absolute core-hours used, as that shows usage relative to tier-2 and tier-3 provision more obviously, which is useful for us in making comparisons for our insti 

19:12 to: Aaron Turner 
tutional strategists. 

19:32 to: Aaron Turner 
That's great, thanks 

28:18 to: Phil Hasnip 
Is there a significant difference in no. unique users for Castep vs CP2k? 

28:30 to: pardis 
so you use these two codes for crystallographic studies? 

29:17 to: Phil Hasnip 
Thanks - just wondering about the scale of user re-education...! 

29:29 to: pardis 
oh ok, just curious. 

35:46 to: Aaron Turner 
Oasis: is that one project driving it or several? 

36:06 to: Aaron Turner 
Thanks 

38:09 to: pardis 
yes, it's quite nice 

38:30 to: Aaron Turner 
The tiny tail for >24k node jobs for UM - is that likely to be production use or a test? 

38:59 to: Aaron Turner 
I suspected as much :) 

47:48 to: pardis 
thanks, very good. 

48:02 to: Aaron Turner 
I'd be keen to get my hands on your Python analysis code to see if I can tweak it to work with our systems, which might then be useful for the wider HPC community. It's work I have on my to do list an 

48:02 to: Aaron Turner 
yway... so it saves me some messing around with matplotlib 

48:25 to: Aaron Turner 
Thanks 

48:37 to: Phil Hasnip 
Is ALPS runnable by users on ARCHER? 

48:53 to: Andrew 
apstat 

48:55 to: Phil Hasnip 
Thanks. 

50:06 to: Phil Hasnip 
What do you think the best way to educate users is (for efficient parallel usage)? 

50:08 to: pardis 
yes 

50:11 to: Cliff Addison 
There for me. 

50:13 to: Tony 
yes 

51:43 to: pardis 
They are available on the archer training page. 

51:47 to: Aaron Turner 
For some of the codes it depends somewhat on the problem and the solver being used... 

52:45 to: Aaron Turner 
I've knocked up an easy benchmarking framework that runs codes and draws a graph that I am about to release for our users here to try to encourage benchmarking. 

53:08 to: Aaron Turner 
I'll show you my Python if you'll show me yours :) 

54:03 to: Cliff Addison 
How about easy tools to show % MPI and which routines of MPI? 

55:37 to: Cliff Addison 
Tools like ipmrun seem fairly light weight when running - so profile not trace. 

56:18 to: Cliff Addison 
Thanks 

56:33 to: Cliff Addison 
Interesting presentation. 

56:39 to: Aaron Turner 
Very useful 

56:41 to: DiRAC3 Benchmark 
Thank you! 

56:41 to: sassy 
thanks 

56:45 to: pardis 
thanks 

56:46 to: Tony 
thanks 

56:50 to: ink 
thanks