Arrinca o proxecto para crear unha rede de centros de supercomputación ao servizo da industria no que participa o CESGA. O proxecto europeo EuroCC pretende apoiar e fomentar as fortalezas nacionais en competencias da computación de altas prestacións e detectar e cubrir as carencias existentes. O Centro de Supercomputación de Galicia, CESGA, comezou a colaborar [...]
O próximo curso 2020/2021, a Universidade da Coruña (UDC) e a Universidade de Santiago (USC), en colaboración co Centro de Supercomputación de Galicia (CESGA) continuarán ofertando o Máster en Computación de Altas Prestacións (Máster HPC). O Máster consta de 60 créditos, así que a súa duración é dun só curso académico. O Máster pode ser [...]
O Centro de Supercomputación de Galicia (CESGA) investirá 7 millóns de euros no Finisterrae III, un novo supercomputador que multiplicará por seis a capacidade de cálculo do actual Finisterrae II, ao tempo que proporcionará servizos de almacenamento de moi alta capacidade, reforzando así o servizo de vangarda que o centro presta aos investigadores e á [...]
One version of the official TensorFlow (TF) performance Benchmark was downloaded from TF webpage and prepared to run on Finis Terrae II (FT2) supercomputing infrastructure from CESGA. This report shows the achieved results on this CESGA supercomputing facilities.
One of the most powerful characteristics of Google API for Machine Learning TensorFlow is its capability for distributed computation that allow users to automatically distribute the training process in different computing machines. Despite the fact that the implementation of these characteristics is relatively straightforward, their deployment in a typical High Performance Infrastructure based on queue [...]
This technical report will try to give an overview of different profiling tools, both open-source and commercial. Some of them are currently available in FinisTerraeII supercomputer, so a brief usage of this tools will be shown too. This report will give a point of reference to start to use this tools, and at the same [...]
The purpose of this Technical Report is analyze, debug & benchmark the BigData platform installed at CESGA by running Spark-based ML algorithms over public datasets with different resource allocation (number of executors, number of cores, memory per executor, memory for driver, etc.).
This internal technical document reports the hyper-parametric search for the proposed Neural Network model using Tensorflow and Finis Terrae II. The NN model helps to manage the process of Laser Metal Deposition based on the thermal images from a thermal camera attached to the laser header that record a complete process. This case is an [...]