Hello, Everyone. I have a question about constructing a job.
In my “Project”, I have 20 “Workspace” and totally ~4,000 “jobs” in it. When I biuld a new job, it was very slow. I used the mouse to drag one map from a job output to the new job. It cost nearly half a minute when the map appeared in the dialogue of the new job. I thought maybe my job number was too large. How can I deal with that? How to put some jobs to another place for storage?
However, I constructed a new project. It can be faster than before. And the data between different projects may not be easy to link.
Now, I often spend nearly 3 minutes biulding one job. It was really awful. Can someone help me?
Sorry to hear you’re having trouble using cryoSPARC. Could you clarify: is the user interface itself slow (such as scrolling or opening job dialogs is lagging) or is it only certain server interactions (such as dropping an output group into an input slot, setting a parameter, etc.).
Are you running cryoSPARC in a single workstation configuration, meaning both the master components (web application, database, etc.) are running on the same machine as the jobs? If so, it may be possible that high CPU/memory or network load could cause the web application (and any other process running on the machine) to slow down or become unresponsive.
If you have a utility such as htop installed it can provide more insight into the various processes running on the machine and CPU/memory usage.
Additionally, if you can reply with any errors you see in the following log, that would be appreciated:
Thanks for your patient reply! I run cryosparc jobs on school’s GPU clusters. There are master components and many other GPU nodes. I mean the server interactions (such as dropping an output group into an input slot, setting a parameter, etc.). The computation was very fast with Tesla GV100 cards.
The master node information is here.
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
On-line CPU(s) list: 0-31
Thread(s) per core: 2
Core(s) per socket: 8
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model name: Intel® Xeon® Silver 4110 CPU @ 2.10GHz
CPU MHz: 2100.000
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 11264K
NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30
NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb cat_l3 cdp_l3 intel_ppin intel_pt ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke spec_ctrl intel_stibp flush_l1d
total used free shared buff/cache available
Mem: 62G 25G 27G 3.1G 8.9G 32G
Swap: 63G 584M 63G
Thank you for the additional information. We’ve identified a possible cause for the noticeable delay and will work on getting a fix ready as soon as possible. I will post in this topic again once a fix has been released.
The reason is that every time a new input is being dragged into a job, the master will update the job relationship map. This gets noticibly slow when the job count in a project approaches 1000. Deleting jobs won’t help. The deleted jobs are still in the map with all of its connections.
My solution, as a user, is to keep the total job count as low as possible. This can be achieved by reusing jobs. For example, a classification or selection job can be cleared and reused if its usefullness has expired. If a job serves no purpose in the project, I would clear it, press ‘b’, unconnect its inputs. Note that it is still connected to its children jobs.
One can even deliberately make a block of jobs as a reusable functional unit for one type of task.
Care needs to be taken to prevent circular references. This can be achieved by adding a buffering job (quick ones such as curating, inspecting, or particles sets) to the end of the reused job block. When the input of the buffering job is cleared the block is disconnected from the downstream jobs and can be reused.
The ‘b’ is a keyboard shortcut for entering the job editing interface (seems to be the only way). The job needs to be editable, meaning that it is not yet queued, or that it is finished/failed/killed and then cleared.
You can simply highlight the job square on the web interface with a mouse left click, clear it if necessary, then press ‘b’ to enter the job building interface.
This might be the only shortcut key I know of. It would be nice if someone lists all the keyboard shortcuts.