Computational Resources
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Computing resources
In order to fulfil the computing needs of the researchers, CIMNE has built a powerful computing cluster over the years. The computing cluster, managed by personnel from the Systems department, offers the service to CIMNE’s researchers but also to the outside via SSH.
CIMNE's cluster consists of 37 compute nodes organized into 13 public and private work queues; being able to add more external queues according to the needs. Besides, there is a display node and a 14 Tb cabin. Adding all the important characteristics of the Cluster, CIMNE has a capacity of 1092 cores, 7808 Gb of RAM and 61TB. The Scientific Linux 7.3 operating system is used. The age of the nodes ranges from December 2013 to February 2022, with the majority being Intel Xeon and five AMD EPYC nodes. The AMD EPYC ones are our last acquisitions.
Flumen laboratories
The FLUMEN Institute, a joint experimental facility between CIMNE and UPC, brings together the numerical and experimental expertise of UPC research groups in hydraulics with the broad experience of CIMNE on numerical methods, computer simulation and integration of decision support systems for applications in fluid mechanics problems.
FLUMEN laboratories are equipped with modern experimental facilities for model scale testing of river dynamic and hydraulic problems. Although at this moment the laboratories are only used for FLUMEN and CIMNE researchers, the possibility to offer the facilities for external users (under a rate based system) is being considered.
Commercial Software
GiD simulation
GiD is a universal, adaptive and user-friendly pre and post processor.
It is used to generate all the information required for the analysis of any problem in science and engineering using numerical methods. GiD is adaptable to any numerical simulation code.
GiD’s input and output formats can be customized and made compatible with any existing software. GiD has been designed to cover all the common needs in the numerical simulation field from pre to post processing: geometrical modelling, effective definition of analysis data, meshing, data transfer to analysis software, as well as the analysis and visualization of numerical results.
GiD is available in different purchase models and with special prices for students and universities. GiD has some 60.000 users.
IBER
IBER is a numerical model for simulating unsteady flows with a turbulent free surface and environmental processes in river hydraulics. The varying applications of IBER includes river hydrodynamics, dam-break simulations, flood zone evaluations, sediment transport calculations and wave flows in estuaries. At this moment, IBER has 3 main computational modules: a hydrodynamic module, a turbulence module and a sediment transport module. IBER is a free software. It currently has over 28,000 users across the world and is officially sponsored by the Spanish Water Administration as the standard river hydrodynamics computational model. The software, developed by the Flumen Institute, also provides online and presential training courses.
KRATOS
KRATOS is designed as an Open-Source framework for the implementation of numerical methods for the solution of engineering problems. It is written in C++ and is designed to allow collaborative development by large teams of researchers focusing on modularity as well as on performance. The KRATOS features a "core" and "applications" approach where "standard tools" (databases, linear algebra, search structures, etc...) come as a part of the core and are available as building blocks in the development of "applications" which focus on the solution of the problems of interest. Its ultimate goal is to simplify the development of new numerical methods. KRATOS counts with 170 developers in 15 countries.
Support services for researchers
Pre-award unit
CIMNE created in 2021 a PRE-AWARD unit which acts as a support unit for CIMNE researchers. The main goals of this unit are increase efficiency in proposal preparation, coordinate efforts to avoid duplicities, improve the quality of proposals thus increasing success ratio. The actions of the Pre-Award unit are directed to get appropriate funding to help researchers develop and implement their ideas.