- Facing the Multicore-Challenge, Heidelberger Akademie der Wissenschaften, Heidelberg, Germany, March 2010
- ECCOMAS CFD 2010, Lisbon, Portugal, June 2010
- First International Workshop on Computational Engineering – Special Topic Fluid-Structure Interaction, Herrsching am Ammersee, Germany, October 2009
- 5th Erlangen High-End-Computing Symposium , Erlangen, Germany, June 2009
- First International Conference on Parallel, Distributed and Grid Computing for Engineering (PARENG09-S01), Pecs, Hungary, April 2009.
Thursday, September 16, 2010
Conferences I've presented SKALB related results.
Friday, September 3, 2010
TinyGPU has new hardware:
tg010. The hardware configuration and the currently deployed software are different to the non-Fermi nodes:
- Ubuntu 10.04 LTS (instead of 8.04 LTS) as OS.
Note: For using the Intel Compiler <= 11.1 locally on tg010, you have to use gcc/3.3.6 Module [currently]. If not, libstdc++.so.5 is missing , as Ubuntu 10.04 does no longer contain this version. This is necessary only for compilation. Compiled Intel binaries will run as expected.
/home/vaultare mounted [only] through NFS (and natively via GPFS-Cross-Cluster-Mount)
- Dual-Socket-System with Intel Westmere X5650 (2.66 GHz) processor, having 6 native cores per socket (instead of Dual-Socket-System with Intel Nehalem X5550 (2.66 GHz), having 4 native cores per socket)
- 48 GB DDR3 RAM (instead of 24 GB DDR3 RAM)
- 1x NVidia Tesla C250 (“Fermi” with 3 GB GDDR5 featuring ECC)
- 1x NVidia GTX 280 (Consumer-Card with 1 GB RAM – formerly know as F22)
- 2 further PCIe2.0 16x slots will be equipped with NVidia C2070 Cards (“Fermi” with 6 GB GDDR5 featuring ECC) in Q4, instead of 2x NVidia Tesla M1060 (“Tesla” with 4 GB RAM) as in the remaining cluster nodes
- SuperServer 7046GT-TRF / X8DTG-QF with dual Intel 5520 (Tylersburg) chipset instead of SuperServer 6016GT-TF-TM2 / X8DTG-DF with Intel 5520 (Tylersburg) chipset
To allocate the fermi node, specify
:ppn=24with your job (instead of
:ppn=16) and explicitly submit to the TinyGPU-Queue
fermi. The wallclock limit is set to the default of 24h . The ECC Memory status is shown on job startup.
This article tries to be a translation from the original posted here: Zuwachs im TinyGPU-Cluster