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...

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...

Morris Riedel DBSCAN 0

DBSCAN

DBSCAN Parallel & Scalable DBSCAN Goetz, M., Bodenstein, C., Riedel, M.: HPDBSCAN – Highly Parallel DBSCAN, in conference proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2015), Machine Learning in HPC Environments (MLHPC 2015) Workshop, November 15-20, 2015, Austin, Texas, USA [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] [ MORE ] Open source available: Download DBSCAN Applications Bodenstein, C., Goetz, M., Jansen, A., Scholz, H., Riedel, M.: Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay, in conference proceedings of the 15th IEEE International Conference...