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NEWS

Maintenances bwGRiD HD/MA

No news at the moment.

 

bwGRiD-Treff

Next meeting:

Wednesday, 1.2.2012, 16:15-18:00
University of Heidelberg
URZ, INF 293, PC-Room 118
bwGRiD Portal Workshop

Please, send proposals for project presentations and topics to:

dgrid-support@listserv.uni-heidelberg.de

 

bwGRiD Cluster Heidelberg (High Performance Cluster)

This high performance cluster can be used for large compute jobs, for example extensive model calculations. The cluster is designed for batch operation, i.e. the compute jobs are executed non-interactive via execution of a script written by the user. Interactive access is possible too, e.g. for software development (tests, debugging) and for work with interactive programs. The machine can be used for

  • distributed memory parallel computing (Each compute node has its own memory. Other nodes cannot read from and write to this part of memory. 140 compute nodes with all together 1120 cores can be used.)
  • shared memory parallel computing (up to 8 cores share a common memory space, i.e. each core can read/write to this common part of memory, SMP Symmetric Multi-Processing)
  • scalar computing (Only one core is working on the problem.)


The state-universities of Baden-Württemberg have proposed to build a regional grid infrastructure (bwGRiD). The proposal was headed by the High Performance Computing Center Stuttgart (HLRS) and was funded with cluster hardware by the German Federal Ministry of Education and Research. Additional manpower and storage infrastructure is funded by the state government of Baden-Württemberg. Our parallel computer bwgrid.uni-heidelberg.de is one of these high performance clusters of the bwGRiD Initiative.

Hardware

Software

Access modes

Login server

Batch jobs

Interactive access to the compute nodes

Setting the environment

Permanent and temporary files

Citation in publications

Contact

Campus-TV article (March 2009)

 

Interconnection with bwGRiD Cluster Mannheim

Since July 2009, the bwGRiD clusters in Heidelberg and Mannheim have been combined to a single cluster. The system operates with a common user administration and a common batch system. Alltogether, it provides the computing power of 2240 cores to the members of the both Universities.

responsible: Sabine Richling
Latest Revision: 2012-01-24