Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Sascha Hunold"'
Autor:
Sascha Hunold, Klaus Kraßnitzer
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783031311796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1d686d5d2b6192692c35f0ffeef721
https://doi.org/10.1007/978-3-031-31180-2_1
https://doi.org/10.1007/978-3-031-31180-2_1
Autor:
Sascha Hunold, Sebastian Steiner
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Publikováno v:
Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy.
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Publikováno v:
2021 International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Autor:
Bartłomiej Przybylski, Sascha Hunold
Publikováno v:
IPDPS Workshops
We introduce Scheduling.jland show how it can be used for teaching the basics of scheduling theory to Computer Science students. In particular, our course focuses on scheduling algorithms for parallel, identical machines. For these problems, approxim
Publikováno v:
Journal of Chemical Information and Modeling. 59:31-37
High-performance computing (HPC) clusters play a major role in scientific research. However, working with these clusters is often cumbersome, especially for researchers without a formal background in computer science. It requires preparation and tran
This book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3–5, 2023. The 11 full papers included in this book were
Autor:
Sascha Hunold, Sebastian Steiner
Publikováno v:
PMBS@SC
Julia has quickly become one of the main programming languages for computational sciences, mainly due to its speed and flexibility. The speed and efficiency of Julia are the main reasons why researchers in the field of High Performance Computing have
Publikováno v:
EuroMPI
EuroMPI/USA '20: 27th European MPI Users' Group Meeting
EuroMPI/USA '20: 27th European MPI Users' Group Meeting
A major reason for the success of MPI as the standard for large-scale, distributed memory programming is the economy and orthogonality of key concepts. These very design principles suggest leaner and better support for stencil-like, sparse collective