Recently we added 4 nodes to Acuario cluster. These nodes form part of two new partitions, “Parallel” and “Serial”. You can check it at compute nodes section and getting started section.
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Recent Posts
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A new node, pez049, has been added to acuario. This node is the same than pez048, but with 1TB of RAM. You can use it via HM partition. Also, we have upgraded pez048 with double of main memory.
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Hi all, We are updating all cluster’s modules and planning to remove some of them soon. These are the new installed modules: GCC versions 6.5.0, 7.3.0 and 8.2.0. Python versions 2.7.15, 3.6.7 and 3.7.1. NumPy and SciPy are in 3.6.7. Boost libraries version 1.68.0. CMake version 3.13.0. The following modules will be deleted next 12/12/18: […]
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A new node called pez048 has been added to the cluster. Its characteristics has been selected in order to boost shared memory jobs. This node has 2 CPU AMD EPYC 7451, each one with 24 cores (48 threads). Unlike the rest of the nodes, threads are enabled due to every thread owns a FPU. Also, […]
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Once nodes pez0[17-32] have been checked, we have created a new nodes partition called B510 with nodes pez0[19-32] (nodes pez0[17-18] will be added soon). Also, between this week and next one, we will install a new compute node with 512 GB RAM and 2 CPU AMD EPYC 7451 with 48 cores (96 threads) each one.
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Due to hardware failures, we have removed computing nodes pez[017-032] from the resource manager. We are currently checking these machines to try to add them back to our resource group. On the other hand, we have removed the restrictions to calculate on computing nodes pez[036-043], adding them to HighParallelization partition. Now there are no job […]
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We have updated Python up to version 3.6.1 with numpy 1.31.1 & scipy 0.19.1. Also we have updated Boost up to version 1.64.0. All are available by module.
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We have updated GCC up to versions 5.4.0 and 6.3.0. Also we have installed version 7.1.0. Moreover CMake and OpenMPI have been updated to 3.8.2 and 2.1.1 versions respectively. All are available by module.
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We have enabled a graphical resource monitor at http://hpc0.cimne.upc.edu where you can check all the resources of the machines per unit of time.
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We are pleased to announce a new visualization node called “fisheye” that will help you with the execution of 3D applications like GiD. All the information can be checked at https://hpc.cimne.upc.edu/portfolio-view/visualization-node/. Also we remember you that all the info of this web is up to date with the new cluster characteristics.
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Recently we have installed GCC version 5.3 at HPC. You can use it by loading the module gcc/5.3 with command: module load gcc/5.3 Also we have installed boost C++ libraries at version 1.61.0. The module name is boost/1.61.0-b1
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