Mathematisches Rechenzentrum
MRZ
Mathematisches Rechenzentrum 

Computers in the Faculty of Mathematics

At the Faculty of Mathematics we currently count about 200 computers. Some of these devices are available in publicly accessible rooms to all employees, students and guests of the faculty. The majority of the computers are located directly at the workplace of our employees.
The support of the entire technology is the responsibility of the staff of the Mathematics Computing Service in close cooperation with the University Computing Service.
Access to the public rooms is possible by means of a student or employee ID card. The use of the computers of the faculty requires an activation from the Mathematics Computing Service. The formalities are regulated by the usage regulations (only in German).

The names of the computers

Public spaces:

20 workplaces
tyr frigga odin   vidar vali
baldur idun braga   skadi fenris
magni sif thor   hunin dagur
gersemi freia odur   mimir forseti
  • 20 PC Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz Processor
  • 8 GB RAM
  • DVD writer
  • TFT display AOC 27 inch
  • Windows10 / Ubuntu 22.04
A4 Multifunction device TA 350ci
39/738

3 workplaces

mani / ran
  • 2 PC Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz Processor
  • 8 GB RAM
  • DVD writer
  • TFT display AOC 27 inch
  • Windows10 / Ubuntu 22.04
mtheresia
  • Inclusion PC
  • Windows10
Printer
  • HP Color LaserJet Enterprise M552
  • HP LaserJet Pro M402dne
39/702

6 workplaces
kwasir sol
surt ostara
heimdal hermodur
  • 6 PC Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz Processor
  • 8 GB RAM
  • DVD writer
  • TFT display AOC 27 inch
  • Windows10 / Ubuntu 22.04
Printer
  • HP Color LaserJet Enterprise 5700dn
  • HP LaserJet Pro M402dne
41/701

Computer only accessible via network:

In addition to the above-mentioned publicly accessible computers, some computers of the faculty are only accessible via the network.

We ask you to observe the following points when using the compute servers:
  1. Storage of large amounts of data
    • When producing large amounts of data, please note that home directories have finite space and hosting/backup etc. of huge amounts of data generate significant costs.
    • For storing large, temporary amounts of data from computer data, etc., the Linux compute servers have the /LOCAL directory that anyone can use.
      Convention: Store own data under /LOCAL/nkz (nkz = own MRZ user ID) and please pay attention to the allocation of suitable rights.

      mkdir /LOCAL/nkz
      chmod go-rwx /LOCAL/nkz

      • These /LOCAL/... directories do not have any backup and can disappear at any time due to failure, maintenance etc.. If possible, the MRZ consults with the users, but the backup of important results is in the responsibility of the users themselves. The MRZ is happy to advise on any questions.
  2. Runtime/uptime of the compute servers
    • Due to maintenance work, the compute servers can experience a reboot at any time. The monitoring of the computations or the appropriate setting of breakpoints in order to be able to restart aborted computations there is in the responsibility of the users. Here, too, the MRZ is happy to assist with any questions.
Notes on remote access:

case1, case2, case3, case4, case5, case6, case7, case8

  • QUAD-Core-Processor INTEL-Core-I7-4770 (4x 3400MHz, 8 MB Cache)
  • 32 GB RAM
  • Ubuntu 22.04
case1-8

Compute server

fini1, fini2, fini3, fini4, fini5, fini6, fini7, fini8

  • Distributed memory compute server consisting of 8 nodes
  • per node: two 6-core Processors, 64 GB RAM, 1TB disk
  • total 8*2*6 = 96 cores and 8*64 GB = 512 GB RAM
  • internal communication network based on Infiniband
  • Ubuntu 22.04
fini

leibniz

  • 2 x Intel Xeon CPU E5-2620 v4 2.10GHz 8-core
  • 128 GB DDR4 RAM
  • 2 TB SATA3 HDD Seagate Enterprise
  • Ubuntu 22.04

nicolson

  • Virtualized compute server
  • 20 cores: AMD EPYC Processor
  • 200 GB RAM
  • Ubuntu 22.04
  • hosted on the following hardware:
    Dual Processor AMD Epyc 7371 16 core, 512 GB RAM

riemann

  • 2x Intel Xeon Westmere Processor EP QC X5690, 3,46 GHz, Hexacore Socket 1366
  • 144 GB DDR3/PC1333 RAM
  • 4x 500 GB SAS hard disks as 2 TB RAID0
  • Ubuntu 22.04

tyche

  • 4 15 core Processors Intel(R) Xeon(R) CPU E7-4880 v2 @ 2.50GHz
  • 1 TB RAM
  • 10 1 TB hard disks in RAID array
  • Ubuntu 22.04

geiringer

  • Virtualized compute server
  • 28 cores: AMD EPYC Processor
  • 400 GB RAM
  • Ubuntu 22.04
  • hosted on the following hardware:
    Dual Processor AMD Epyc 7371 16 core, 512 GB RAM

hyso

  • Virtualized compute server
  • 40 cores: Intel Xeon Processor (Cascadelake)
  • 600 GB RAM
  • Ubuntu 22.04
  • hosted on the following hardware:
    Dual Processor Intel(R) Xeon(R) Gold 6240R CPU @ 2.40GHz 2 x 24 cores, 768 GB RAM
  • The hardware was obtained with funds from the DFG SFB "Hybrid Societies: Humans Interacting with Embodied Technologies". Access is restricted to members of this SFB.

merge

  • 4 x Intel Xeon CPU E5-4640 2.40GHz 8-core
  • 512 GB RAM
  • 2 x 1TB SATA hard disks
  • Ubuntu 22.04

merge

rosenblatt

murphy

  • Microsoft Windows Server 2022 (64 bit)
    Processor: AMD Ryzen 5 5600X 6-Core Processor 3,7 GHz
    RAM: 16 GB

castor / pollux

  • Microsoft Windows Server 2019 (64 bit)
    Processor: Intel Xeon CPU ES-2603 v4 @ 1,7 GHz (2 Processors)
    RAM: 16 GB

lyra

  • Microsoft Windows Server 2016 (64 bit)
    Processor: Intel Xeon CPU ES-2603 v4 @ 1,7 GHz (4 Processors)
    RAM: 16 GB

euklid / loki

  • Microsoft Windows Server 2016 (64 bit)
    Processor: Intel Core Processor (Broadwell) 1,7 GHz (2 Processors)
    RAM: 16 GB