Inverted CERN School of Computing 2018

Lectures and exercises

• Alejandro Avilés (Bity SA (CH))
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    Computing for Decentralized Systems (exercise 1)

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    Computing for Decentralized Systems (lecture 1)

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    Computing for Decentralized Systems (lecture 2)

• Lennaert Bel (Nikhef (NL))
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    Algorithms and Data Structures (exercise 1)

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    Algorithms and Data Structures (exercise 2)

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    Algorithms and Data Structures (lecture 1)

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    Algorithms and Data Structures (lecture 2)

• Placido Fernandez Declara (CERN, and University Carlos III (ES))
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    From sequential to parallel programming with patterns

• Gabriele Gaetano Fronze' (University e INFN Torino (IT), Subatech Nantes (FR))
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    K.I.S.S. Parallel Coding (exercise 1)

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    K.I.S.S. Parallel Coding (exercise 2)

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    K.I.S.S. Parallel Coding (lecture 1)

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    K.I.S.S. Parallel Coding (lecture 2)

• Christian Graf (Max-Planck-Institut fur Physik (DE))
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    Bayesian Data Analysis (lecture 1)

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    Bayesian Data Analysis (lecture 2)

• Frederic Hemmer (CERN)
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    A word from the IT Department Head

• Sebastian Lopienski (CERN)
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    Closing remarks

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    Introduction to the Inverted CSC

• Hannah Short (CERN)
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    Securing Distributed Research

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    Securing Distributed Research (exercise)

• Victoria Tokareva (Joint Institute for Nuclear Research (RU))
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    Speeding up image reconstruction in computed tomography

• Georgios Voulgarakis (CERN)
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    Modern Backend Systems

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    Modern Backend Systems (exercise)