Difference between revisions of "Bioinformatics and Scientific Computing Facility"
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**No. of Cores in a node 12 (2 x hexacores) | **No. of Cores in a node 12 (2 x hexacores) | ||
**Total No. of Cores 480 | **Total No. of Cores 480 | ||
| + | **4 GPU nodes equipped with NVidia M2090 Tesla GPU accelerator (Fermi architecture) | ||
| + | ** 200TB Lustre Filesystem | ||
'''Training:''' We are a member of the [http://software-carpentry.org/ software carpentry project] and offer training using this material. We also offer training in image analysis with Fiji/ImageJ and biological data analysis using R/Bioconductor | '''Training:''' We are a member of the [http://software-carpentry.org/ software carpentry project] and offer training using this material. We also offer training in image analysis with Fiji/ImageJ and biological data analysis using R/Bioconductor | ||
'''Bioinformatics support model:''' We are open to internal and external customers and recharge for our services | '''Bioinformatics support model:''' We are open to internal and external customers and recharge for our services | ||
Latest revision as of 00:39, 16 April 2015
Location: Dresden, Germany
Name/Title: MPI-CBG Scientific Computing Facility (Bioinformatics, Scientific Software Development, BioImage Informatics)
Links:
Group size: We are seven people (1x Facility Leader, 2x bioinformaticians, 2x software developers and 2x BioImage Informaticians)
Environment: Academic Research Environment
Pertinent hardware info: We have access to our own HPC resources in house:
- Cluster Overview
- No. of Physical nodes 44
- CPU Intel Xeon E5-2640 @ 2.50 GHz
- Memory Size 128GB
- No. of Physical CPUs in a node 2
- No. of Cores in a node 12 (2 x hexacores)
- Total No. of Cores 480
- 4 GPU nodes equipped with NVidia M2090 Tesla GPU accelerator (Fermi architecture)
- 200TB Lustre Filesystem
Training: We are a member of the software carpentry project and offer training using this material. We also offer training in image analysis with Fiji/ImageJ and biological data analysis using R/Bioconductor
Bioinformatics support model: We are open to internal and external customers and recharge for our services
