Centre for the Computational Science at ICM UW

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Computational Research Grants on the Okeanos Supercomputer

Superkomputer Okeanos

Starting July 2016 ICM UW will grant researchers access to the Okeanos supercomputer - a Cray XC40 large-scale computing system. Okeanos comprises more than 1000 compute nodes, each node containing two 12-core Intel Xeon Haswell processors and 128 GB of RAM. All nodes of the system are connected with the ultra-scalable Cray Aries interconnect with Dragonfly topology.

The system built by Cray Inc. in response to ICM’s strict and demanding requirements has become a unique High Performance Computing (HPC) solution in Poland. The system is characterised by very high computational power, as well as outstanding graph analytics capability and extreme per-formance on data-intensive workloads. Okeanos is best suited for large-scale computations, which require several thousand cores and several tens of terabytes of memory in a single run. Supporting such large-scale computations is the primary purpose of the Okeanos supercomputer.

We invite researchers to submit their applications to the first call for proposals for computational research grants on the Okeanos system (Cray XC40).

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Early Science Call

In 2016, ICM UW will deploy Okeanos - a large-scale computing Cray XC40 system. Okeanos is made up of more than 1000 compute nodes, each node contains two 12-core Intel Xeon processors and 128 GB RAM. In addition, each node has a dedicated interconnect Cray Aries port, and all nodes are connected by a high-performance Dragonfly topology network.

New data center building of ICM


In response to ICM’s high technological requirements Cray Inc. built a system that has become a unique solution in the field of High Performance Computing (HPC) in Poland. The system is characterised by very high computational power, as well as high performance graph data processing abilities. Okeanos supercomputer together with Big Data analysis system and data storage represents a complementary infrastructure of the OCEAN competence centre installed at the new ICM’s data centre in Warsaw.

Okeanos supercomputer resources will be made available primarily to scientists whose research requires the use of large-scale computations. Operational deployment of the system will be preceded by an Early Science program, in which a group of scientists, chosen through an open call, will have the possibility to prepare their calculations, test processing capabilities of the Okeanos system (e.g. scalability) and finally start their prototype calculations. Due to the small number of users, Early Science program will be an opportunity to run computing jobs on system partitions of a considerable size, reaching hundreds of compute nodes.

We believe that proper preparation of calculations under the Early Science program will bring a number of innovative research projects, the implementation of which was not previously possible in the framework of computing infrastructure in Polish HPC centers.

We invite all researchers and HPC software developers to familiarise with the details of the Early Science program and to send their proposals.

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HPC Centre at ICM University of Warsaw

ICM is a provider and developer of an effective computational infrastructure used for scientific purposes. It carries out its own research and development activity, providing theoretical and practical background on computational sciences.

Its main areas of contribution for the scientific community include:

  • extensive support for scientific projects requiring high-performance computing and processing large quantities of data
  • creating new computational software for multiprocessor systems (with a high level of parallelism) and optimising of the existing packages
  • development and administration of various internet services, such as the portal providing high resolution numerical weather forecasts for Central Europe
  • mathematical and computational modelling of complex systems and the processes within them, concerning areas such as:
    • personalised medicine
    • life sciences
    • natural environment issues
    • material engineering
  • development of visualization software
  • attracting talented young pupils and students of sciences

The digital resources are available to all members of the scientific community. The number of awarded computational grants, which enable scientists to carry out their research with the aid of ICM’s infrastructure, is steadily growing. The number of publications featuring results obtained as part of the computational grants amounts to 130-150 a year.

The current projects involve areas such as:

  • biotechnology
  • medicine
  • material engineering and other technologies
  • environmental sciences and climate studies
  • information processing and transferring technologies
  • classical sciences - chemistry, physics and astronomy

News

Second Call for Access to the Okeanos Supercomputer

We invite researchers to submit their applications to the second call for proposals for computational research grants on the Okeanos system (Cray XC40). More details ...

First Call for Access to the Okeanos Supercomputer

We invite researchers to submit their applications to the first call for proposals for computational research grants on the Okeanos system (Cray XC40). More details ...

Opening of the "Early Science" programme

The Call for Proposals for the Early Science programme has started. Selected group of scientists will be able to prepare their calculations and test the computational capabilities of the new Okeanos supercomputer (Cray XC40) More details...

Leading HPC vendor announces the delivery of supercomputer to ICM

Leading HPC vendor - Cray Inc. - announced the delivery of the latest generation supercomputer on request of the OCEAN research data centre - conducted by ICM UW state of the art facility for Big Data analytics in Poland More details...

ICT vendor announces the delivery of IT infrastructure to ICM

One of the leading vendors of large computing servers - Huawei - announced the delivery of the infrastructure to ICM's OCEAN research data centre. More details...



Projects highlights