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DECI16 call for proposals is open – closing 31 January 2020 !!!


The PRACE DECI programme provides cross-national access to European Tier-1 HPC resources (national systems). Access will be awarded for a period of 12 months, beginning 1 June 2020. Resources are available on the following architectures: HP Cray XC40 / SHASTA, Intel and AMD clusters (various processor and memory configurations) and hybrid systems (clusters with GPGPU accelerators or Xeon Phi Co-processors (KNC)) made available from Czech Republic, Finland, Greece, Hungary, Italy, Ireland, the Netherlands, Norway, Poland, Portugal, Slovakia, Spain, Sweden, Turkey, and the UK. For this call additional resources are available from the Fenix Research Infrastructure, funded by the European ICEI project ( Applicants need not specify a particular machine or architecture, but if they do, we will endeavour to take these preferences into account.

—————————DECI-16 Call——————————-

• Closing date: 31 January 2020, 17:00 UTC
• Anticipated allocation decisions: May 2020
• Allocation start: 1 June 2020
• Allocation period: 1 year for Project Access
• Type of access: DECI (Tier-1)


The Distributed European Computing Initiative (DECI) is designed for projects requiring access to Tier-1 resources not currently available in the PI’s own country or for international collaborations. These projects do not require resources on the very largest (Tier-0) European Supercomputers or very large allocations of CPU.
DECI is a resource exchange programme where resources are provided by a subset of PRACE members and awarded via the juste retour principle. This means that projects from each contributing country will in total receive at least 70% of the amount of resources contributed to DECI by the PI’s own country but will be allocated to a machine with an architecture and set up which best matches the needs of that project. The remaining time (up to 30%) is reserved for projects from countries which are not providing resources to the call. Individual projects are limited to around 5 million machine hours (average award per project expected to be around 2.5 million machine hours).

For more information please refer to
For help with application please contact Dr. Lilit Axner