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Training course "Introduction and training Intel KNL Many-Core - usage and profiling" @ JSC

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03.Sep.2018 11:00
end
06.Sep.2018 12:00
venue
JSC, Jülich

The Research Centre Juelich will extend its general purpose supercomputing system JURECA with a so-called "Booster" based on Intel's KNL architecture. The aim of this course is to give users of the supercomputing resources an introductory overview of the KNL architecture and its usage, and to help them in making efficient use of their allocated resources.
Topics covered include

  • Overview of the KNL architecture
  • Building code for KNL
  • Analysing code correctness and performance
  • Roof-line and vectorisation analysis
  • Performance tuning
  • "Bring-your-own-code" hands-on sessions
  • special topics depending on users' interest

Training course "Iterative linear solvers and parallelization" @ LRZ

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10.Sep.2018 08:30
end
14.Sep.2018 15:30
venue
LRZ Garching

The focus of this compact course is on iterative and parallel solvers, the parallel programming models MPI and OpenMP, and the parallel middleware PETSc. Different modern Krylov Subspace Methods (CG, GMRES, BiCGSTAB ...) as well as highly efficient preconditioning techniques are presented in the context of real life applications.

Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the

  • basic constructs of iterative solvers
  • the Message Passing Interface (MPI)
  • the shared memory directives of OpenMP.

This course is organized by the University of Kassel, the high performance computing centre of Stuttgart (HLRS) and IAG.

Training course "Introduction to Computational Fluid Dynamics in HPC" @ HLRS

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10.Sep.2018 09:00
end
14.Sep.2018 15:30
venue
HLRS Stuttgart

The course deals with current numerical methods for Computational Fluid Dynamics in the context of high performance computing. An emphasis is placed on explicit methods for compressible flows, but classical numerical methods for incompressible Navier-Stokes equations are also covered. A brief introduction to turbulence modelling is also provided by the course. Additional topics are high order numerical methods for the solution of systems of partial differential equations. The last day is dedicated to parallelization.

Hands-on sessions will manifest the contents of the lectures. In most of these sessions, the application Framework APES will be used. They cover grid generation using Seeder, visualization with ParaView and the usage of the parallel CFD solver Ateles on the local HPC system.

The course is organized by HLRS, IAG (University of Stuttgart) and STS, ZIMT (University of Siegen).

Training course "Fundamentals of Deep Learning for Computer Vision" @ LRZ

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12.Sep.2018 09:00
end
12.Sep.2018 17:30
venue
LRZ, Garching

The Leibniz Supercomputing Center (LRZ) is the computer center for Munich's universities and for the Bavarian Academy of Sciences and Humanities. It is also a national center for High Performance Computing. NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. LRZ and DLI are excited to announce this one-day practical workshop - Fundamentals of Deep Learning for Computer Vision at LRZ on Sept. 12th, 2018, exclusively for verifiable students, staff, and researchers from any academic institutions (For industrial participants, please contact NVIDIA for industrial specific training).

In this full-day workshop, you will learn the basics of deep learning by training and deploying neural networks. Build the skill-set and toolbox you need to build your own deep learning solutions through hands-on projects. Learners will:

  • Understand general terms and background of deep learning
  • Implement common deep learning workflows such as Image Classification and Object Detection
  • Manipulate training parameters to improve accuracy
  • Modify internal layers of neural networks to adapt to new problems
  • Deploy your networks to start solving real-world problems

Training course "Fundamentals of Deep Learning for Multiple Data Types" @ LRZ

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13.Sep.2018 09:00
end
13.Sep.2018 17:30
venue
LRZ, Garching

The Leibniz Supercomputing Center (LRZ) is the computer center for Munich's universities and for the Bavarian Academy of Sciences and Humanities. It is also a national center for High Performance Computing. NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. LRZ and DLI are excited to announce this one-day practical workshop - Fundamentals of Deep Learning for Multiple Data Types at LRZ on Sept. 13th, 2018, exclusively for verifiable students, staff, and researchers from any academic institutions (For industrial participants, please contact NVIDIA for industrial specific training).

In this full-day workshop, you’ll learn how to train a network using TensorFlow and the MSCOCO dataset to generate captions from images and video by:

  • Implementing deep learning workflows like image segmentation and text generation
  • Comparing and contrasting data types, workflows, and frameworks
  • Combining computer vision and natural language processing

Upon completion, you’ll be able to solve deep learning problems that require multiple types of data inputs.

PRACE Training course "Advanced Fortran Topics" @ LRZ

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17.Sep.2018 09:00
end
21.Sep.2018 18:00
venue
LRZ Garching

This course, partly a PRACE training event (to be confirmed), is targeted at scientists who wish to extend their knowledge of Fortran to cover advanced features of the language.

Topics covered include:

Days 1-3:

  • Best Practices

    • global objects and interfaces
    • abstract interfaces and the IMPORT statement
    • object based programming
  • Object-Oriented Programming

    • type extension, polymorphism and inheritance
    • binding of procedures to types and objects
    • generic type-bound procedures
    • abstract types and deferred bindings
  • IEEE features and floating point exceptions
  • Interoperability with C

    • mixed language programming patterns
  • Fortran 2003 I/O extensions

Days 4-5 (PRACE training course, support by PRACE still has to be approved):

  • OO Design Patterns: application of object-oriented programming

    • creation and destruction of objects
    • polymorphic objects and function arguments
    • interacting objects
    • dependency inversion: submodules and plugins
  • Coarrays

    • PGAS concepts and coarray basics
    • dynamic entities
    • advanced synchronization
    • parallel programming patterns
    • recent enhancements: collectives, events, teams, atomic subroutines
    • performance aspects of coarray programming

To consolidate the lecture material, each day's approximately 4 hours of lecture are complemented by 3 hours of hands-on sessions. The last 2 days of the course are a PRACE training event (tbc).

Training course "Advanced Deep Learning Workshop for Multi-GPU" @ HLRS

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19.Sep.2018 08:30
end
19.Sep.2018 17:30
venue
HLRS Stuttgart

To help organizations solve the most challenging problems using AI and deep learning NVIDIA Deep Learning Institute (DLI), Cray and HLRS are organizing a 1-day workshop on Deep Learning which combines business presentations and practical hands-on sessions.

In this Deep Learning workshop you will learn how to design and train neural networks on multi-GPU systems.

This workshop is offered free of charge but numbers are limited.
The workshop will be run in English.

Training for Maxeler Dataflow Architectures @ JSC

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20.Sep.2018 09:00
end
21.Sep.2018 14:00
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Jülich Supercomputing Centre, Jülich

In the context of the PRACE-3IP Pre-Commercial Procurement (PCP) project, Maxeler ported a set of scientific computing applications to its FPGA-accelerated architecture and deployed a pilot system at Jülich Supercomputing Centre.

Developers of numerical applications with general interest in exploring the use of FPGAs for accelerating applications are invited to participate in this training event. No previous background in FPGA programming is required.

Lecturers will be leading experts from Maxeler. All participants will be provided with access to the Maxeler pilot system JUMAX.

The number of participants is limited to 30 people.

CECAM tutorial: Atomistic Monte Carlo Simulations of Bio-molecular Systems @ JSC

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24.Sep.2018 12:00
end
28.Sep.2018 13:30
venue
Jülich Supercomputing Centre

Atomistic Markov Chain Monte Carlo simulations (MC) offer an interesting and complementary approach to Molecular Dynamics (MD) in the study of long time scale biophysical phenomena. MC simulations follow well established techniques to obtain a statistical physics description of a system using the potential energy function, but without solving the equations of motion. While a temporal description of the simulated process is sacrificed, questions about probabilities, temperature dependence, effects of prevailing conditions etc. can often be answered at a minuscule fraction of the computing cost (and hence also the energy cost and carbon footprint) of an adequately long MD simulation. We have previously used replica exchange MC simulations to describe the folding of a complex 92 residue alpha + beta protein with an experimental folding time of about one second. We have also applied MC techniques to study intrinsically disordered proteins, peptide aggregation and the influence of macro-molecular crowding on protein behaviour. We believe that MC techniques are severely underused in biophysical research, owing to the dearth of exposure to the technique in contrast to MD within the community. Our tutorial is an effort to introduce researchers in the field to MC techniques in sufficient detail for them to use it in their own research.

This CECAM Tutorial is organized by Sandipan Mohanty, Olav Zimmermann, and Jan Meinke (JSC) and will take place at Forschungszentrum Jülich, Jülich Supercomputing Centre.

Training course "Introduction to the LRZ Supercomputing & Machine Learning Infrastructure" @ LRZ

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08.Oct.2018 09:00
end
08.Oct.2018 18:00
venue
LRZ Garching

In this introductory course we will give an overview of the hardware and software services provided by the Leibniz Supercomputing Center (LRZ) with a focus on supercomputing (HPC) as well as machine learning (ML) applications.
The course opens with a (optional) introduction to GNU/Linux and a how-to of working with remote machines. The subsequent combination of lectures, demo and hands-on sessions provides participants with the knowledge and skills necessary to efficiently utilize the LRZ supercomputing and cloud infrastructure for their own projects.

Training course "Porting code from Matlab to Python" @ JSC

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08.Oct.2018 09:00
end
09.Oct.2018 16:30
venue
JSC, Jülich

Python is becoming a popular language for scientific applications and is increasingly used for high performance computing. In this course we want to introduce Matlab programmers to the usage of Python. Matlab and Python have a comparable language philosophy, but Python can offer better performance using its optimizations and parallelization interfaces. Python also increases the portability and flexibility (interaction with other open source and proprietary software packages) of solutions, and can be run on supercomputing resources without high licensing costs.

The training course will be divided into three stages: First, attendants will learn how to do a direct translation of language concepts from Matlab to Python. Then, optimization of scripts using more Pythonic data structures and functions will be shown. Finally, code will be taken to the supercomputers where basic parallel programming (MPI) will be used to exploit parallelism in the computation.

The course will focus on numerical and statistical analysis as well as on image processing applications.

This course involves theoretical and hands on sessions which will be guided by experts in Python, Matlab and High Performance Computing. Attendants are highly encouraged to bring their own Matlab scripts.

Training course "Using R at LRZ" @ LRZ

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09.Oct.2018 09:00
end
09.Oct.2018 13:00
venue
LRZ Garching

R is a highly popular and powerful programming language for data analysis and graphics, used in many research domains. The Leibniz Supercomputing Centre (LRZ) is addressing the needs of R users by facilitating various ways of working with R on LRZ systems.

For one it is hosting a RStudio Server web service that provides an easy to use and powerful platform mostly targeted at interactive analyses. This service can, however, also be used as a gateway to the high performance computing (HPC) systems at LRZ. Additionally, R can be employed directly on the massively parallel Linux Cluster as well as on specialized and GPU-enhanced machine learning systems.

In this half-day course, we will illustrate the different possibilities of using R at LRZ and provide guidelines and best practice examples for running R applications efficiently on the various systems.

Training course "C Language for Beginners" @ LRZ

begin
09.Oct.2018 09:00
end
11.Oct.2018 17:00
venue
LRZ Garching

This three-day course gives an introduction to the C programming language. The following topics will be covered:

Day 1 schedule:

  • Basic Concepts
  • Hello World Compilation
  • Datatypes
  • Operators and Basic statements
  • First examples

Day 2 schedule:

  • C-Functions
  • Code modularity
  • Compilation, Debugging
  • Compiler directives
  • Structures

Day 3 schedule:

  • Memory model
  • Pointers
  • Function pointers
  • Good coding practices

Contents are subject to modifications.

Course participants should have basic UNIX/Linux knowledge (login with secure shell, shell commands, simple scripts, editor vi or emacs). The second requisite is to have basic knowledge on other programming language/scripting language.

Training course "Using Python at LRZ" @ LRZ

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09.Oct.2018 14:00
end
09.Oct.2018 18:00
venue
LRZ Garching

As a general-purpose programming language with a growing user-base amongst data scientists, Python is increasingly used for data analysis and machine learning applications at the Leibniz Supercomputing Centre (LRZ).

In this half-day course we will demonstrate several techniques and best practice examples - empowering participants to use Python effectively on LRZ infrastructure.

Training course "Introduction to Python" @ JSC

begin
15.Oct.2018 08:30
end
17.Oct.2018 16:30
venue
JSC, Jülich

This course gives an introduction to the programming language Python. Topics are: data types, control structures, object-oriented programming, module usage. Additionally, Python's standard library and the GUI programming with wxWidgets will be explained.

The course is given in German.

Training course "Parallel Programming Workshop (MPI, OpenMP and advanced topics)" @ HLRS

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15.Oct.2018 08:30
end
19.Oct.2018 16:30
venue
HLRS Stuttgart

Distributed memory parallelization with the Message Passing Interface MPI (Mon, for beginners):
On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model. The course gives an introduction into MPI-1. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of the Message Passing Interface (MPI).

Shared memory parallelization with OpenMP (Tue, for beginners):
The focus is on shared memory parallelization with OpenMP, the key concept on hyper-threading, dual-core, multi-core, shared memory, and ccNUMA platforms. This course teaches shared memory OpenMP parallelization. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the directives and other interfaces of OpenMP. Race-condition debugging tools are also presented.

Intermediate and advanced topics in parallel programming (Wed-Fri):
Topics are advanced usage of communicators and virtual topologies, one-sided communication, derived datatypes, MPI-2 parallel file I/O, hybrid mixed model MPI+OpenMP parallelization, parallelization of explicit and implicit solvers and of particle based applications, parallel numerics and libraries, and parallelization with PETSc. MPI-3.0 introduced a new shared memory programming interface, which can be combined with MPI message passing and remote memory access on the cluster interconnect. It can be used for direct neighbor accesses similar to OpenMP or for direct halo copies, and enables new hybrid programming models. These models are compared in the hybrid mixed model MPI+OpenMP parallelization session with various hybrid MPI+OpenMP approaches and pure MPI. Further aspects are domain decomposition, load balancing, and debugging. Hands-on sessions are included on all days. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Hands-on sessions are included on all days. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Training course "Advanced C++ with Focus on Software Engineering" @ LRZ

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23.Oct.2018 09:00
end
25.Oct.2018 17:00
venue
LRZ Garching

This advanced C++ training is a course on object-oriented (OO) software design with the C++ programming language. The focus of the training are the essential OO and C++ software development principles, concepts, idioms, and best practices, which enable programmers to create professional, high-quality code. The course will not address special areas and applications of C++, such as for instance Template Meta Programming (TMP), or the quirks and curiosities of the C++ language. It rather teaches guidelines to develop mature, robust, and maintainable C++ code. The following topics will be covered:

Day 1 schedule:

  • Essential Object-Oriented Design Principles

    • The core of object-oriented programming
    • The SOLID principles
  • Concepts and the STL

    • Overview of the STL
    • Proper use of the STL
  • Class Design

    • Know what your compiler does for you
    • Inside/Outside: What should (not) be inside a class?

Day 2 schedule:

  • Class Design (cont.)

    • Const Correctness
    • Interface design
    • Visibility vs. Accessibility
  • Robust Code

    • Error propagation
    • Exception Safety
    • RAII
    • Handling Legacy Code
  • Proper Use of Dynamic Inheritance

    • Non-public inheritance
    • Public inheritance

Day 3 schedule:

  • Dependency-Breaking Techniques
  • Non-Intrusive Design
  • C++11/14 Update
  • Kernel development

Contents are subject to modifications.

Training course "Scientific Visualization" @ HLRS

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25.Oct.2018 09:00
end
26.Oct.2018 15:30
venue
HLRS Stuttgart

This two day course is targeted at researchers with basic knowledge in numerical simulation, who would like to learn how to visualize their simulation results on the desktop but also in Augmented Reality and Virtual Environments. It will start with a short overview of scientific visualization, following a hands-on introduction to 3D desktop visualization with COVISE. On the second day, we will discuss how to build interactive 3D Models for Virtual Environments and how to set up an Augmented Reality visualization. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Training course "Introduction to GPU programming using OpenACC" @ JSC

begin
29.Oct.2018
end
30.Oct.2018
venue
JSC, Jülich

GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to the GPU. The course will cover basic aspects of GPU architectures and programming. Focus is on the usage of the directive-based OpenACC programming model which allows for portable application development. Examples of increasing complexity will be used to demonstrate optimization and tuning of scientific applications.

Topics covered will include:

  • Introduction to GPU/Parallel computing
  • Programming model OpenACC
  • Interoperability of OpenACC with GPU libraries like CuBLAS and CuFFT
  • Multi-GPU Programming with MPI and OpenACC
  • Tools for debugging and profiling
  • Performance optimization

Training course "C++ Language for Beginners" @ LRZ

begin
06.Nov.2018 09:00
end
09.Nov.2018 17:00
venue
LRZ Garching

This four-day course gives an introduction to the C++ programming language. The following topics will be covered:

Day 1 schedule:

  • Reminder of C concepts
  • C++ Basics
  • C++ Pointers
  • Constructors and destructors
  • Classes methods and objects

Day 2 schedule:

  • Inheritance
  • Class Design
  • Namespaces

Day 3 schedule:

  • I/O operations
  • Strings
  • File management
  • Error handling and exceptions

Day 4 schedule:

  • C++ containers and iterators
  • Operators overloading
  • Modularity
  • Good coding practices

Contents are subject to modifications.

Training course "Advanced C++ with Focus on Software Engineering" @ HLRS

begin
19.Nov.2018 08:30
end
22.Nov.2018 16:30
venue
HLRS Stuttgart

This advanced C++ training is a course on object-oriented (OO) software design with the C++ programming language. The focus of the training are the essential OO and C++ software development principles, concepts, idioms, and best practices, which enable programmers to create professional, high-quality code. Additionally, the course gives insight into kernel development with C++. The course will not address special areas and applications of C++, such as for instance Template Meta Programming (TMP), or the quirks and curiosities of the C++ language. It rather teaches guidelines to develop mature, robust, maintainable, and efficient C++ code.

After this course, participants will:

  • have a detailed understanding of the essential OO design principles
  • have gained knowledge about fundamental C++ programming concepts and idioms
  • be able to properly design classes and class interfaces
  • know about the importance of exception safe programming
  • have gained insight into kernel development with C++
  • avoid the usual pitfalls in the context of inheritance
  • comprehend the advantages of non-intrusive design
  • understand the virtue of clean code

Training course "Software Development in Science" @ JSC

begin
19.Nov.2018 09:00
end
20.Nov.2018 16:30
venue
JSC, Jülich

Scientific research increasingly relies on software. Software engineering and development play a key role in the production of software. Thus, formal education and training in software development methodologies become more important, particularly in larger software projects. Software development in teams needs formalized processes to get a reliable outcome. The aim of this course is to give an introduction to established software development methodologies and best practices. The lessons learned in this workshop can be applied to large projects but will also help individual researchers to improve the quality of their software.

Topics covered are:

  • Overview of software development methodologies
  • Scrum and agile practices
  • Version control: hands-on training, working with Git and GitHub
  • Open source and community building
  • Licenses and copyright
  • Software testing and quality
  • Documentation

Training course "Introduction to the programming and usage of the supercomputing resources at Jülich" @ JSC

begin
22.Nov.2018 13:00
end
23.Nov.2018 16:30
venue
JSC, Jülich

Through the John von Neumann Institute for Computing, Research Centre Juelich provides two major high-performance computing resources to scientific user groups from throughout Germany and Europe. The aim of this course is to give new users of the supercomputing resources an introductory overview of the systems and their usage, and to help them in making efficient use of their allocated resources.

Training course "Advanced parallel programming with MPI and OpenMP" @ JSC

begin
26.Nov.2018 09:00
end
28.Nov.2018 16:30
venue
JSC, Jülich

The focus is on advanced programming with MPI and OpenMP. The course addresses participants who have already some experience with C/C++ or Fortran and MPI and OpenMP, the most popular programming models in high performance computing (HPC).

The course will teach newest methods in MPI-3.0/3.1 and OpenMP-4.5, which were developed for the efficient use of current HPC hardware. Topics with MPI are the group and communicator concept, process topologies, derived data types, the new MPI-3.0 Fortran language binding, one-sided communication and the new MPI-3.0 shared memory programming model within MPI. Topics with OpenMP are the OpenMP-4.0 extensions, as the vectorization directives, thread affinity and OpenMP places. (The GPU programming with OpenMP-4.0 directives is not part of this course.) The course also contains performance and best practice considerations, e.g., with hybrid MPI+OpenMP parallelisation. The course ends with a section presenting tools for parallel programming.

Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the taught constructs of the Message Passing Interface (MPI) and the shared memory directives of OpenMP. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. It is organized by JSC in collaboration with HLRS. (Content Level: 20% for beginners, 50% intermediate, 30% advanced).

Training course "Fortran for Scientific Computing" @ HLRS

begin
03.Dec.2018 08:30
end
07.Dec.2018 15:30
venue
HLRS Stuttgart

This course is dedicated for scientists and students to learn (sequential) programming with Fortran of scientific applications. The course teaches newest Fortran standards. Hands-on sessions will allow users to immediately test and understand the language constructs. This workshop provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Training course "Introduction to C" @ JSC

begin
03.Dec.2018 09:00
end
12.Dec.2018 16:30
venue
JSC, Jülich

An introduction to the programming language C is given. This language is often used in non-numeric data processing and is also suitable for programming tasks close to the system.

This course will be given in German.

Training course "Programming with Fortran" @ LRZ

begin
06.Mar.2019 09:00
end
08.Mar.2019 18:00
venue
LRZ Garching

This three day course is targeted at scientists with little or no knowledge of the Fortran programming language, but need it for participation in projects using a Fortran code base, for development of their own codes, and for getting acquainted with additional tools like debugger and syntax checker as well as handling of compilers and libraries. The language is for the most part treated at the level of the Fortran 95 standard; features from Fortran 2003 are limited to improvements on the elementary level. Advanced Fortran features like object-oriented programming or coarrays will be covered in a follow-on course in autumn.

To consolidate the lecture material, each day's approximately 4 hours of lecture are complemented by 3 hours of hands-on sessions.

Note: Course participants should have basic UNIX/Linux knowledge (login with secure shell, shell commands, basic programming, vi or emacs editors).