Difference between revisions of "Main Page"
From Gridkaschool
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The GridKa School Wiki is supposed to be the main store of tasks, practical exercises and technical information for all hands on sessions. The wiki pages for each session are prepared by the tutors in advance to be extensively used by the attendies during the session and after it. |
The GridKa School Wiki is supposed to be the main store of tasks, practical exercises and technical information for all hands on sessions. The wiki pages for each session are prepared by the tutors in advance to be extensively used by the attendies during the session and after it. |
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| − | = GridKa School |
+ | = GridKa School 2016 = |
== Infosheet == |
== Infosheet == |
||
| − | For a summary of basic information about GridKa School, please download our [ |
+ | For a summary of basic information about GridKa School, please download our [https://to.be.added infosheet ↳] and check the [https://indico.scc.kit.edu/indico/event/196/page/18 info section ↳] on the school homepage. |
==Hands-on Sessions== |
==Hands-on Sessions== |
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| − | ===Tuesday, |
+ | ===Tuesday, 30.08.2016=== |
| + | * [[Docker Tutorial]] |
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| − | * [[HPCCloud 101, HPC on Cloud Computing]] |
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| + | * [[Jupyter Notebooks for Science]] |
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| − | * [[Programming Templates]] |
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| + | * [[Using R to improve data analyses Python workflows]] |
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| − | * [[Relational and Non-relational Databases]] |
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| − | * [[ |
+ | * [[Puppet Tutorial]] |
| + | * [[Introduction to OpenStack]] |
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| − | * [[Configuration Management with Puppet: Day 1]] |
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| − | ===Wednesday, |
+ | ===Wednesday, 31.08.2016=== |
| + | * [[Concurrent Programming in C++]] |
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| − | * [[Docker Workshop]] |
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| − | * [[Concurrent Programming]] |
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| − | * [[R for Large Scale Data Analysis]] |
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* [[CEPH Tutorial]] |
* [[CEPH Tutorial]] |
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| + | * [[Performance, profiling and debugging]] |
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| − | * [[Apache Spark in Scientific Applications]] |
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| + | * [[Scientific Computing on Amazon Web Services]] |
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| − | * [[Elastic Search, Logstash and Kibana]] |
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| − | * [[ |
+ | * [[Puppet Tutorial]] |
| − | ===Thursday, |
+ | ===Thursday, 01.09.2016=== |
| − | * [[ |
+ | * [[GPU Tutorial]] |
| + | * [[Modern & Idiomatic C++14]] |
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| − | * [[Software Defined Data Center Workshop]] |
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| + | * [[Application Development with (non-)relational databases]] |
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| − | * [[Mongo DB Tutorial]] |
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| − | * [[FastFlow Tutorial]] |
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* [[Apache Spark in Scientific Applications]] |
* [[Apache Spark in Scientific Applications]] |
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| − | * [[ |
+ | * [[Introduction into Go]] |
| + | * [[Advanced Python Programming for Data Science]] |
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| − | * [[Software Defined Networks Tutorial]] |
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| − | ===Friday, 11.09.2015=== |
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| − | * [[Software Defined Data Center Workshop: Addon]] |
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| − | * [[SAP CodeJam]] |
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| − | * [[IBM BootCamp]] |
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= Previous Years = |
= Previous Years = |
||
Revision as of 16:51, 8 August 2016
Welcome to the GridKa School Wiki
The GridKa School Wiki is supposed to be the main store of tasks, practical exercises and technical information for all hands on sessions. The wiki pages for each session are prepared by the tutors in advance to be extensively used by the attendies during the session and after it.
GridKa School 2016
Infosheet
For a summary of basic information about GridKa School, please download our infosheet ↳ and check the info section ↳ on the school homepage.
Hands-on Sessions
Tuesday, 30.08.2016
- Docker Tutorial
- Jupyter Notebooks for Science
- Using R to improve data analyses Python workflows
- Puppet Tutorial
- Introduction to OpenStack
Wednesday, 31.08.2016
- Concurrent Programming in C++
- CEPH Tutorial
- Performance, profiling and debugging
- Scientific Computing on Amazon Web Services
- Puppet Tutorial
Thursday, 01.09.2016
- GPU Tutorial
- Modern & Idiomatic C++14
- Application Development with (non-)relational databases
- Apache Spark in Scientific Applications
- Introduction into Go
- Advanced Python Programming for Data Science
Previous Years
Hands-on Sessions in 2015
Tuesday, 8.09.2015
- HPCCloud 101, HPC on Cloud Computing
- Programming Templates
- Relational and Non-relational Databases
- CUDA GPU Programming
- Configuration Management with Puppet: Day 1
Wednesday, 9.09.2015
- Docker Workshop
- Concurrent Programming
- R for Large Scale Data Analysis
- CEPH Tutorial
- Apache Spark in Scientific Applications
- Elastic Search, Logstash and Kibana
- Configuration Management with Puppet: Day 2
Thursday, 10.09.2015
- AngularJS Workshop
- Software Defined Data Center Workshop
- Mongo DB Tutorial
- FastFlow Tutorial
- Apache Spark in Scientific Applications
- Scientific Python Tutorial
- Software Defined Networks Tutorial
Friday, 11.09.2015
Hands-on Sessions 2014
Tuesday, 2.09.2014
- Amazon Cloud Computing Tutorial
- Openstack Part 1
- Relational Databases
- From C++03 to C++11
- Data Analysis in Python
- Programming Multi-core using FastFlow
- Hadoop for beginners
Wednesday, 3.09.2014
- MongoDB Workshop
- Openstack Part 2
- Hadoop Workshop
- CUDA GPU Programming Workshop
- Configuration Management with Puppet: Part 1
- OwnCloud Workshop
Thursday, 4.09.2014
- dCache Workshop
- Openstack Part 3
- Security Workshop
- Configuration Management with Puppet: Part 2
- Getting started with Android and App Engine
- Concurrent Programming in C++
- Microsoft Azure Cloud Computing Workshop
Friday, 5.09.2014
Hands-on Sessions 2013
Tuesday, 27.08.2013
- Amazon Cloud Computing Tutorial
- Relational and non-relational databases
- Hadoop Session
- gLite Middleware Administration
- Effective Analysis Programming Part 1
Wednesday, 28.08.2013
- Effective Analysis Programming Part 2
- Training Session on Openstack Part 1
- Combining Grid and Cloud for e-sciences applications
- Multi-threaded Programming
Thursday, 29.08.2013
- dCache Workshop
- CUDA GPU Programming Hands-on
- Training Session on Openstack Part 2
- ROOT Tutorial
- Python for scientific programming
Security Workhop, 26.08.2012-28.08.2013
Hands-on Sessions 2012
Tuesday, 28.08.2012
- Amazon Cloud Computing Tutorial
- Configuration Management with Puppet
- Hadoop Hands-on
- EMI session 1: EMI introduction & gLite services
- IO optimizations and data access
- Effective Analysis Programming 1
Wednesday, 29.08.2012
- Combining Cloud, Grid & Volunteer computing
- Multi-threaded Programming
- Effective Analysis Programming 2
- Globus Technology Workshop
Thursday, 30.08.2012
- EMI Session 2: ARC Tutorial
- Python for Scientific programming
- OpenCL on CPU and GPU
- ROOT/PROOF Workshop
- dCache
