User profiles for Felix Zahn
 | Felix ZahnMPI Verified email at ipp.mpg.de Cited by 79 |
On network locality in MPI-based HPC applications
Data movements through interconnection networks exceed local memory accesses in terms
of latency as well as energy by multiple orders of magnitude. While many optimizations …
of latency as well as energy by multiple orders of magnitude. While many optimizations …
Early experiences with saving energy in direct interconnection networks
Energy is emerging to become one of the most crucial factors in design decisions for future
large scale computing systems. Especially Exascale-installations will have to operate within …
large scale computing systems. Especially Exascale-installations will have to operate within …
Energy-Efficient Interconnection Networks for High-Performance Computing
F Zahn - 2020 - archiv.ub.uni-heidelberg.de
In recent years, energy has become one of the most important factors for de- signing and
operating large scale computing systems. This is particularly true in high-performance …
operating large scale computing systems. This is particularly true in high-performance …
Analyzing the energy (dis-) proportionality of scalable interconnection networks
Power consumption is one of the most important aspects regarding design and operation of
large computing systems, such as High-Performance Computing (HPC) and cloud …
large computing systems, such as High-Performance Computing (HPC) and cloud …
On link width scaling for energy‐proportional direct interconnection networks
F Zahn, S Lammel, H Froening - Concurrency and Computation …, 2019 - Wiley Online Library
Energy consumption is one of the most important design parameters for future large‐scale
computing systems. While the end of Dennard scaling demands for increasing energy‐…
computing systems. While the end of Dennard scaling demands for increasing energy‐…
Sonar: Automated communication characterization for hpc applications
Future computing systems will need to operate within hard power and energy constraints,
this is particularly true for Exascale-class systems. These constraints are hard for technical, …
this is particularly true for Exascale-class systems. These constraints are hard for technical, …
Optimization of Magnetic Cobalt Ferrite Nanoparticles for Magnetic Heating Applications in Biomedical Technology
Using magnetic nanoparticles for extracorporeal magnetic heating applications in bio-medical
technology allows higher external field amplitudes and thereby the utilization of particles …
technology allows higher external field amplitudes and thereby the utilization of particles …
[BOOK][B] Ultrafast lattice dynamics and microscopic energy flow in ferromagnetic metals and in an anisotropic layered semiconductor
D Zahn - 2022 - search.proquest.com
Many properties in solids are determined by interactions between electronic, magnetic, and
phononic degrees of freedoms. Ultrafast pump-probe techniques are ideally suited to access …
phononic degrees of freedoms. Ultrafast pump-probe techniques are ideally suited to access …
DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems
FK Stehle, W Vandelli, F Zahn, G Avolio… - Proceedings of the 38th …, 2024 - dl.acm.org
Anomaly detection in distributed systems such as High-Performance Computing (HPC)
clusters is vital for early fault detection, performance optimisation, security monitoring, reliability …
clusters is vital for early fault detection, performance optimisation, security monitoring, reliability …
Evaluating energy-saving strategies on torus, k-ary n-tree, and dragonfly
Energy is one of the most crucial factors in the design of large-scale computing systems,
especially high-performance computing. While exascale systems could be built with current …
especially high-performance computing. While exascale systems could be built with current …