The objective of this course is to learn how to use systems with more than one memory subsystem. We will see the different options on using Intel’s KNL memory subsystems and systems equipped with Intel’s Optane technology.
Biochemistry, Bioinformatics and Life sciences, Chemical Sciences and Materials, Engineering
Se proporciona la formación necesaria para el análisis de datos procedentes de técnicas de Next Generation Sequencing, centrada particularmente en su aplicación al estudio metagenómico de muestras de diversos ambientes y emplear la supercomputación en la
Biochemistry, Bioinformatics and Life sciences, Chemical Sciences and Materials
El objetivo fundamental es que los participantes se familiaricen con los análisis del metagenoma para la predicción de enfermedades y caracteres complejos en Genética humana y animal.
Dirigido a usuarios noveles o potenciales usuarios del ordenador FinisTerrae II, con el objetivo de que conozcan el equipo y aprendan a utilizarlo para sus propias aplicaciones o las que ya están disponibles.
El Taller está dirigido exclusivamente a usuarios con cuenta activa en el FinisTerrae II, para que puedan alcanzar un conocimiento más profundo de la utilización de los equipos y poder aprovechar mejor las herramientas disponibles.
En este taller se hará una introducción a la nueva plataforma Big Data del CESGA. Esta plataforma ha sido actualizada a Hadoop 3 e incluye también la nueva versión de Spark 2.4.
Taller Big Data donde se explicarán los conceptos básicos de Apache Spark. El taller será eminentemente práctico y los asistentes tendrán que resolver problemas diversos utilizando Spark.
Trabajando con 1 qubit. Mútliples qubits. Introducción a ProjectQ. Algoritmos cuánticos básicos. Algoritmos avanzados para la computación cuántica. Algoritmos híbridos: HHL, VQE, optimización, QML, etc.
CESGAHACK 5 volverá a reunir a científicos y desarrolladores de aplicaciones durante cinco días con el objetivo de acelerar sus aplicaciones. Aprenda a utilizar HPC y computación paralela mientras desarrollan su propio software.
The objective of this PATC course is to cover the basics of a high performance computing (HPC) environment oriented towards earth science applications, specifically chemical weather modelling and climate modelling.
The objetive of this course is to give a panorama on the use of hpc-based computational mechanics in Engineering and Environment through the projects BSC are carrying on.
The objective of this course is to present to potential users the new configuration of MareNostrum and an introduction on how to use the new system (batch system, compilers, hardware, MPI, etc).
The objective of this course is to learn how Paraver and Dimemas tools can be used to analyze the performance of parallel applications and to familiarize with the tools usage as well as instrumenting applications with Extrae.
The tutorial will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and clusters with GPUs.
This tutorial will introduce the audience to the BSC tools for heterogenous programming on FPGA devices. It describes OmpSs@FPGA, as a productive programming environment for compute systems with FPGAs.
The objective of this course is to explain the different components of MareNostrum 4 and to understand the design decisions taken.We also analyze how the system administration is taken in this Petaflop system.
The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources.
This is an expansion of the topic "OpenACC and other approaches to GPU computing" covered on last years editions of the Introduction to CUDA Programming.
The course brings together key information technologies used in manipulating, storing, and analysing data including:the basic tools for statistical analysis, techniques for parallel processing, tools for access to unstructured data,storage solutions.
The objective in this course was to give an overview of PyCOMPSs and how to deal with Persistent Memory (as developed as part of the NextGenIO Project).
The programme starts with a module providing an introduction to supercomputing, in which students visit MareNostrum 4 to find out more about high-performance computing and what a supercomputer is used for.
They are free two-hour tours with eight games for kids to learn what a supercomputer is, what it is for, who uses it and some basic concepts from the world of supercomputing and computational thinking.
This course covers the exploitation of supercomputing for a variety of scientific and engineering applications. The contents span several application domains both in the numerical and the non-numerical areas.
The Postgraduate in Artificial Intelligence with Deep Learning aims to satisfy this demand of professionals thanks to an experienced teaching team with world-class reputation in both industry and academia.
The emphasis is on practical techniques—and a solid theoretical background—for designing and constructing intelligent systems, enabling graduates from this course to apply their skills in a variety of settings.
This hackathon targets application developers that are interested in investigating the impact of novel SVE extensions on High Performance Computing (HPC) and Machine Learning (ML) applications.
This workshop will analize the low-energy optimization techniques that have been developed by the LEGaTO project for the Artificial Intelligence, Smart City, Smart Home, Healthcare and IOT communities.
With this Master you will learn from the hands of experts from the University of Cantabria, the CSIC and specialized companies, the most current techniques in Data Science.
