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compute resources

  • In general, the offers are limited to members of I-MATH & DM3L and their students.
  • Other UZH members are welcome to contact support@math.uz.ch .
  • First time user: contact support@math.uzh.ch first.

Reservations

  • Short (<1day) computations don't need a reservation,
  • Longer (>1day) are reccomended to be done with a reservation.
  • With reservation: In case of maintenance need, we typically schedule the maintenance according to the needs of the user.
  • Without reservation: We try to contact the user and wait several hours for an answer.
  • General: if we see running computations, we always contact the user first (independent of whether or not a reservation exists). If the user doesn't answer (weekend, holiday, ...) we decide on our own what to do.

Offers

  • For small / ad hoc computations, just start the compute software via the thinlinc environment.
  • For medium computations, please contact support@math.uzh.ch to ask for the best fitting possibilty and to reserve nodes.
  • For large computations and professional support please check http://www.s3it.uzh.ch/.

Resources at IMATH & DM3L

HostPurposeCPUGPURAMLocal disksPurchaseOS
ModelSpeedCoresModelVRAM
arocaresearchAMD EPYC 9334^1^ x22.70 GHz64 (HT)NVIDIA RTX 6000 Ada48 GB512 GB2x 240 GB, 8TB NVMe12/2024Ubuntu 24.04
bellowresearchAMD EPYC 9334^1^ x22.70 GHz64 (HT)NVIDIA L40S x448 GB512 GB2x 240 GB, 8TB NVMe12/2024Ubuntu 24.04
sulemresearchAMD EPYC 9334^1^ x22.70 GHz64 (HT)NVIDIA A40 x2 (stacked)96 GB512 GB2x 240 GB, 8TB NVMe12/2024Ubuntu 24.04
zahediresearchAMD EPYC 9334^1^ x22.70 GHz64 (HT)NVIDIA L40S48 GB512 GB2x 240 GB, 8TB NVMe12/2024Ubuntu 24.04
ribeiroresearchAMD EPYC 7763^2^2,45 GHz64 (HT)NVIDIA L40S48 GB512 GB2x240 GB, 8TB NVMe12/2024Ubuntu 24.04
sushkoresearchAMD EPYC 7763^2^2,45 GHz64 (HT)NVIDIA L40S48 GB512 GB2x240 GB, 8TB NVMe12/2024Ubuntu 24.04
swartresearchAMD EPYC 7763^2^2,45 GHz64 (HT)NVIDIA L40S48 GB512 GB2x240 GB, 8TB NVMe12/2024Ubuntu 24.04
vernonresearchAMD EPYC 7763^2^2,45 GHz64 (HT)NVIDIA L40S48 GB512 GB2x240 GB, 8TB NVMe12/2024Ubuntu 24.04
vinzantresearchAMD EPYC 7763^2^2,45 GHz64 (HT)NVIDIA L40S48 GB512 GB2x240 GB, 8TB NVMe12/2024Ubuntu 24.04
wheelerresearchAMD EPYC 7763^2^2,45 GHz64 (HT)NVIDIA L40S48 GB512 GB2x240 GB, 8TB NVMe12/2024Ubuntu 24.04
willbanksresearchAMD EPYC 7763^2^2,45 GHz64 (HT)---512 GB2x 240 GB, 8TB NVMe12/2024Ubuntu 24.04
terraciniresearchAMD EPYC 7763^2^2,45 GHz64 (HT)---512 GB2x 240 GB, 8TB NVMe12/2024Ubuntu 24.04
ramboresearchAMD-EPYC-77422,25 GHz64 (HT)---512 GB240GB, 2TB08/2021Ubuntu 24.04
oliveresearchAMD-EPYC-7502P2,50 GHz32 (HT)---512 GB240GB04/2022Ubuntu 24.04
ojaresearchAMD-EPYC-7502P2,50 GHz32 (HT)---512 GB240GB04/2022Ubuntu 20.04
stokesresearchAMD-EPYC-7502P2,50 GHz32 (HT)---512 GB240GB04/2022Ubuntu 24.04
walkerstudentAMD-EPYC-7502P2,50 GHz32 (HT)---512 GB240GB04/2022Ubuntu 24.04
Old servers
bradyresearchIntel Core 6C i7-8700K3,70 GHz12 (HT)GigaByte GeForce GTX 1070 G18 GB64 GB80GB, 2TB02/2018Ubuntu 24.04
davidresearchIntel Xeon 10C E7-2850 x 82,00 GHz80 (no HT)GigaByte GeForce GTX 1070 G18 GB512 GB240GB05/2013Ubuntu 24.04
estonia0researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
estonia1researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
estonia2researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
estonia3researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
georgia0researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
georgia1researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
georgia2researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
georgia3researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
iran0researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
iran1researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
iran2researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
iran3researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
jordan0professors & assistants: matlab, mathematica, maple, RIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
jordan1researchIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
jordan2coursesIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04
jordan3coursesIntel Xeon 6C E5-26402.50 GHz12 (no HT)---256 GB2 TB05/2012Ubuntu 24.04

Mainboard:

Concept

Access

  • The compute nodes can be accessed by SSH only from inside I-MATH/DM3L.
  • Use thinlinc
    • matlab, mathematica, maple, R, rstudio: just start the application via menu 'Applications > Science > ...' - you'll automatically be redirected to the appropriate compute server.
    • For non standard compute software please first log on the compute node via 'ssh', then start the program.
  • SSH: Log onto 'ssh.math.uzh.ch' and jump to the compute node again via 'ssh'.

Operating System

  • Ubuntu LTS (Linux) - all compute servers.
  • Very very limited software might be installed on some Windows virtual machines.

Storage

  • If you need more disk space, please contact support@math.uzh.ch .
  • Remote (NFS)
    • Personal Home directory
    • /compute/
  • Local
    • /export/user/

Programs / Software

  • All compute servers use the same applications and versions as installed on the thinlinc terminals.
  • Please report missing or outdated software or wishes to support@math.uzh.ch .
  • There is no Intel C or Intel Fortran Compiler.
  • If you need other program versions than the default one: open a terminal, type the program name followed by two 'TAB' presses: this will show all available installed versions of the specified program.

Parallel computing

  • Cluster software
    • Not installed / offered at I-MATH/DM3L.
    • Various MPI packages and libs are installed. Compiling and preparation to run programs later on a distributed compute cluster are possible.
  • Some programs, like matlab, offer limited built-in auto parallelization.
  • All of the compute nodes are shared memory machines. It's reasonable to start as many programs in parallel as long the load is less or equal the number of cores.
    • Determine the load by using the command uptime via a terminal. The last three numbers are the average number of jobs (=load) in the run queue over the last 1, 5 and 15 minutes. 

$ uptime
 15:55:20 up 22 days, 24 min,  1 user,  load average: 11.97, 11.73, 11.62

Monitoring

  • List GPUs 

nvidia-smi
  • Show GPU-Usage (Load, Temparature, Watts-Usage etc.) 

nvtop -d 2
  • Fan status (Rounds per Minute etc.) 

fanstatus

Limitations

  • Memory
    • Soft: 64GB
    • Hard: unlimited
  • Number of processes per user
    • Soft: 2048
    • Hard: 4096
  • Change limitations 

$ ulimit -m unlimited
$ ulimit -u 4096
  • Make sure to increase a hard limit only one time. If you try to increase it a second time, you'll get an error. You have to log out and log in again to get a new chance.
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