Learn to use Python for spatial analysis and data management.
This half-day seminar is meant for the state research institutes. It gives a general overview of CSC services together with a hands-on introduction on getting access to CSC resources and using CSC computing servers.
Spark is a high-performance distributed computing framework, which allows to tackle big-data problems by distributing the workload across a cluster of machines. This two day course addresses the technical architecture and use cases of Spark, writing Spark code using Python, and using Spark's machine learning library to perform ML based tasks.
The reason for doing high-performance computing is, well, high performance - but is your application as good as it can get, in terms of performance? Watch this webinar series and you will have an answer to that - hopefully together with some ideas on how to improve the observed shortcomings. In the last part, we will talk about some algorithmic considerations and MPI programming practices for improving parallel scalability of MPI-parallel applications.
This course gives you a practical introduction for using CSC's cloud services Pouta.
Get an introduction to power usage of the Schrödinger Maestro molecular modeling suite and the Materials Suite including hands-on training.
Blender is free and open source 3D creation suite, that supports the entire 3D pipeline. Many aspects of Blender will be demoed, depending on the interests of the participants. The focus will be on rendering imported meshes, and creating geometry.
Introduction to Python programming form the perspective of bioscience.
The CellSim3D code is an in-house code at CSC, jointly developed with ÅA and Univ. Eindhoven. The code simulates growth of biological tissue via a mechanical description of cell division. The workshop is a training and start-up event for the usage of the code.
This course gives a basic introduction to writing GPU applications using CUDA. Building on this, performance tools and how to write efficient CUDA code are discussed. Finally multi-GPU programming both within a node and between nodes, as well as new CUDA features will be presented.
Introduction to Discovery Studio protein modeling program,
This introductory course covers single cell RNA-seq data analysis methods, tools and file formats. The free and user-friendly Chipster software is used in the exercises, and the course is thus suitable for everybody.
This event provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment to the essential ingredients for molecular modeling and computational chemistry using modern supercomputers. Standard approaches such as classical and ab initio molecular dynamics, electronic structure models as well as several more special topics are explained and exemplified by prominent researchers in the field.
Proteomics is a systems biology approach to study the entire protein complement of a cell, tissue, or organism. This large-scale study of proteins is increasingly popular in post genomics era and has found its widespread applications in fields including drug discovery, cardiovascular research, and nutrition research, just to name a few. This course will provide both theoretical and practical training at the introductory level. Participants will learn the principles of current methodologies and apply bioinformatics tools for data analysis.