Morris Riedel Teaching 0

Teaching – Overview

Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: High Performance Computing – Advanced Scientific Computing, REI105M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2019 [ MORE ] University Course: Cloud Computing and Big Data – Parallel and Scalable Machine Learning and Deep Learning, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2018 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, REI105M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2017 [ MORE ] University Course: Cloud Computing and Big Data – Internet-based...

2020-02-17 PRACE Tutorial Parallel and Scalable Machine Learning Introduction Morris Riedel 0

PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction

PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2020-02-17 – 2020-02-19 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~14,3 MB) Lecture 2 – Introduction to Machine Learning Fundamentals (pdf, ~5,58 MB) Lecture 3 – Supervised Learning with a Simple Learning Model (pdf, ~8,05 MB) Lecture 4 – Artificial Neural Networks – ANNs (pdf, ~2,73 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Statistical Learning Theory (pdf, ~2,73 MB) Lecture 6 – Validation and Regularization (pdf, ~5,97 MB) Lecture 7 – Pattern...

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...

Master of Data Science Morris Riedel 0

Master of Data Science

Master of Data Science Existing Programs Online Portal, Master’s in Data Science Portal [ Master’s in Data Science Portal ] Lists many different Master of Data Science Programs and many of those as sponsored and require more Information to receive more Information. Online Master’s Degree in Data Science, Online Master’s Degree in Data Science [ Online Master’s Degree in Data Science ] Adressed to companies: ‘you’ll focus on helping your company solve problems by creating machine learning algorithms to examine and manipulate data’ Drexel’s online data science master’s is a compilation of computer science and information systems. Allows to choose...

2019-12-13 Introduction To HPC and Quantum Computing for AI Morris Riedel 0

Introduction to HPC and Quantum Computing for AI Applications

Introduction to HPC and Quantum Computing for AI Applications Invited Training Course organized by Obuda University and Parallel and Distributed Systems Lab MTA Sztaki, Budapest, Hungary 2019-12-13 Materials [ Overall Lecture: Introduction to HPC and Quantum Computing for AI Applications – Slides ~38.7 MB (pdf) ] Slides available of #HPC #QuantumComputing #QuantumAnnealing @dwavesys for AI Applications training @SZTAKI_LPDS using Modular Supercomputing @fz_juelich @fzj_jsc @helmholtz_ai @helmholtz_de @Haskoli_Islands @uni_iceland @uisens @DEEPprojects.slides: https://t.co/bZsgQ2qqaz.. pic.twitter.com/ze95rTzhwh — Morris Riedel (@MorrisRiedel) December 20, 2019 Sieh dir diesen Beitrag auf Instagram an Slides available of #HPC #QuantumComputing #QuantumAnnealing D-Wave Systems for AI Applications training at MTA Sztaki...

2019-12-05 Machine and Deep Learning Tutorial Content 0

Machine and Deep Learning Tutorial – Using High Performance Computing

Machine and Deep Learning Tutorial – Using High Performance Computing Training Course organized by the ON4OFF Project In-Telegence GmbH, Cologne, Germany 2019-12-05 Materials [ Practical Lecture 1: Short Introduction to UNIX and SSH – Slides ~5.66 MB (pdf) ] [ Practical Lecture 2: Short Introduction to C Programming and Scheduling – Slides ~5.96 MB (pdf) ] [ Practical Lecture 3: Parallel and Scalable Machine and Deep Learning – Slides ~17.3 MB (pdf) ] Slides available of #ON4OFF Project Training on #MachineLearning & #DeepLearning Tutorial using Modular Supercomputing & Discussing next steps @fz_juelich @fzj_jsc @helmholtz_ai @helmholtz_de @Haskoli_Islands @uni_iceland @uisens @DEEPprojects.slides: https://t.co/aluF2oiWUb....

2019 HPC Course Fall 2019 Course Outline 0

HPC – Course Fall 2019

High Performance Computing – Course Fall 2019 Advanced Scientific Computing 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2019 Lecture 0 – Prologue Slides PDF (9,16 MB) Fully packed room teaching Lecture 0 – Prologue of our High Performance Computing course with ~50 students of @Haskoli_Islands @uni_iceland including Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de @uisens @helmholtz_ai slides: https://t.co/kyb7Sq31LX pic.twitter.com/VztJLeAFpH — Morris Riedel (@MorrisRiedel) August 27, 2019 Practical Lecture 0.1 – Short Introduction to UNIX & SSH...

Introduction to Deep Learning Models Morris Riedel 0

Introduction to Deep Learning Models

Introduction to Deep Learning Models Training Course organized by DEEP-EST Project Juelich Supercomputing Centre, Germany 2019-05-21 – 2019-05-23 [ EVENT ] [Morris Riedel] Lecture 1 – Deep Learning driven by HPC & Jupyter (pdf, ~10,7 MB) [Jenia Jitsev] Lecture 2 – Overview of Deep Learning (pdf, ~33,0 MB) [Morris Riedel] Lecture 3 – Neural Network (pdf, ~14,3 MB) [Morris Riedel] Lecture 4 – Convolutional Neural Network (pdf, ~9,83 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Deep Learning for Remote Sensing & 1D/2D CNNs for Hyperspectral Images Classification (pdf, ~3,86 MB) [Gabriele Cavallaro] Lecture 6 – 3D CNNs for Hyperspectral...

2019-02-25 PRACE Tutorial Parallel and Scalable Machine Learning Morris Riedel 0

PRACE Tutorial – Parallel and Scalable Machine Learning

PRACE Tutorial: Parallel and Scalable Machine Learning Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2019-02-25 – 2019-02-27 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~9,97 MB) Lecture 2 – Introduction to Machine Learning Fundamentals – Theory (pdf, ~12,9 MB) Lecture 3 – Introduction to Machine Learning Fundamentals – Practice (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) [Martin Schultz] Lecture 4 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) [Martin Schultz] Lecture 5 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) Lecture...

2019-01-21 DEEP EST Tutorial Machine Learning and Modular Supercomputing Content 0

DEEP-EST Tutorial – Machine Learning and Modular Supercomputing

DEEP-EST Tutorial – Machine Learning and Modular Supercomputing HIPEAC Conference 2019 Conference Centre, Valencia, Spain 2019-01-21 [ Event ] Abstract The fast training of traditional machine learning models and more innovative deep learning networks from increasingly growing large quantities of scientific and engineering datasets (aka ‘Big Data‘) requires high performance computing (HPC) on modern supercomputers today. HPC technologies such as those developed within the European DEEP-EST project provide innovative approaches w.r.t. processing, memory, and modular supercomputing usage during training, testing, and validation processes. Materials [ Lecture 1: Modular Supercomputing and Machine Learning – Welcome to HiPEAC Tutorial – Slides ~1.12...