Sebastian Rinke

Orcid: 0000-0002-1171-9024

According to our database1, Sebastian Rinke authored at least 12 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Performance Measurement Dataset of the HPC Benchmarks FASTEST, Kripke, LULESH, MiniFE, Quicksilver, and RELeARN for Scalability Studies with Extra-P.
Dataset, November, 2023

2020
Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018
A Scalable Parallel Algorithm for the Simulation of Structural Plasticity in the Brain.
PhD thesis, 2018

A scalable algorithm for simulating the structural plasticity of the brain.
J. Parallel Distributed Comput., 2018

Lightweight Requirements Engineering for Exascale Co-design.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2015
A Batch System with Efficient Adaptive Scheduling for Malleable and Evolving Applications.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014
A Batch System with Fair Scheduling for Evolving Applications.
Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013
Efficient Offloading of Parallel Kernels Using MPI_Comm_Spawn.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

A Dynamic Resource Management System for Network-Attached Accelerator Clusters.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

2012
A Dynamic Accelerator-Cluster Architecture.
Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

2010
QPACE: Energy-Efficient High Performance Computing.
Proceedings of the ARCS '10, 2010

2009
Evaluation of Task Mapping Strategies for Regular Network Topologies.
Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009


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