Classification of Different Approaches for e-Science Applications in Next Generation Computing Infrastructures 0

Classification of Different Approaches for e-Science Applications in Next Generation Computing Infrastructures

Classification of Different Approaches for e-Science Applications in Next Generation Computing Infrastructures Riedel, M., Streit, A., Wolf, F., Lippert, Th., Kranzlmueller, D., in conference proceedings of 4th IEEE Conference on e-Science (e-Science 2008), December 7-12, 2008, Indianapolis, USA [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Abstract: Simulation and thus scientific computing is the third pillar alongside theory and experiment in todays science and engineering. The term e-science evolved as a new Research field that focuses on collaboration in key areas of science using next generation infrastructures to extend the powers of scientific computing. This paper...

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...

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 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...

2019-08-21 Machine Learning Co-Design of Future HPC Systems Morris Riedel 0

Machine Learning Co-Design of Future HPC Systems

Machine Learning Co-Design of Future HPC Systems BigBrain Workshop 2019 Seminar with Topic: Artificial Intelligence (AI) Methods and HPC Based Processing Juelich Supercomputing Centre, Forschungszentrum Juelich, Juelich, Germany 2019-08-21 [ Slides ~18.1 MB (pdf) ] Morris Riedel on the complex relationship between Deep Learning, Big Data and Modular Supercomputing at the Big Brain Workshop @HBPHighPerfComp @hbp @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects @helmholtz_ai – https://t.co/2ynAPPBtBw… pic.twitter.com/bA3axk73jq — Thomas Lippert (@Tomtherhymer) August 21, 2019 Presenting with Thomas Lippert at our BigBrain Workshop @BigBrainProject yesterday about #AI methods, #HPC in #neuroscience & modular supercomputing co-design by @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects...

2019-08-19 Importance of High Performance Computing for Machine Learning Morris Riedel 0

Importance of High Performance Computing for Machine Learning

Importance of High Performance Computing for Machine Learning Visiting Program for Delegation from South Korea organized by NRW.INVEST Seminar with Topic: Global Research and Development Incubating Center Juelich Supercomputing Centre, Forschungszentrum Juelich, Juelich, Germany 2019-08-19 [ Slides ~18.1 MB (pdf) ]

2019-05-10 AI IMPACTS HPC and Applications HIMAP Alumni Morris Riedel 0

Artificial Intelligence Impacts in HPC and Selected Applications

Artificial Intelligence Impacts in HPC and Selected Applications HOECHST International Management Associate Program (HIMAP) Alumni Juelich Supercomputing Centre, Juelich, Germany 2019-05-10 [ Slides ~14.1 MB (pdf) ] HOECHST Int. Management Associate Program (HIMAP) Alumni Visit presenting @helmholtz_ai Artificial Intelligence Cooperation Unit (HAICU), #ON4OFF, #SMITH & Modular Supercomputing by @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands @DEEPprojects – https://t.co/xCDitaxS71 pic.twitter.com/taw3xaaJbr — Morris Riedel (@MorrisRiedel) May 13, 2019

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...

HPDBSCAN Highly Parallel DBSCAN 0

HPDBSCAN – Highly Parallel DBSCAN

HPDBSCAN – Highly Parallel 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 ] Abstract: Clustering algorithms in the field of data-mining are used to aggregate similar objects into common groups. One of the best-known of these algorithms is called DBSCAN. Its distinct design enables the search for an apriori unknown number of arbitrarily shaped...