link to homepage

Institute for Advanced Simulation (IAS)

Navigation and service

Announcement of Blue Gene/Q at JSC

JUQUEEN is an IBM Blue Gene/Q system which will be installed and start operation at JSC in 2012. The first four racks will be installed in April 2012 followed by four further racks in May and a larger extension in October 2012.

Each rack contains 32 node boards with 32 compute nodes each. A node consists of a processor comprising 16 1.6 GHz 64 bit IBM PowerPC A2 cores for the execution of user applications, one additional core is used for the operating system. Every core can execute four processes/threads (fourfold Simultaneous MultiThreading, SMT) and has a quad floating point unit (FPU) which can execute four double-precision Single Instruction Multiple Data (SIMD) Fused Multipy-Add operation (FMA) or two complex SIMD FMA per cycle. The maximal performance of the processor (node) is 204.8 GFlop/s.

In order to use this architecture efficiently a hybrid parallelization strategy is necessary in general (e.g. MPI/OpenMP or MPI/Pthreads), especially since the main memory is limited to 16 GB per node (or 256 MB per process/thread with 4 processes/threads per core).









Dear visitor,

To make our website suit your needs even more and to give it a more appealing design, we would like you to answer a few short questions.

Answering these questions will take approx. 10 min.

Start now Close window

Thank you for your support!


In case you have already taken part in our survey or in case you have no time to take part now, you can simply close the window by clicking "close".

If you have any questions on the survey, please do not hesitate to contact:


Your Team at Forschungszentrum Jülich


Note: Forschungszentrum Jülich works with the market research institute SKOPOS to anonymously conduct and analyze the survey. SKOPOS complies with the statutory requirements on data protection as well as with the regulations of ADM (Arbeitskreis Deutscher Markt- und Sozialforschungsinstitute e.V.) and ESOMAR (Europäische Gesellschaft für Meinungs- und Marketingforschung). Your data will not be forwarded to third parties.