Tobias Fuchs

Orcid: 0000-0001-9727-2878

According to our database1, Tobias Fuchs authored at least 14 papers between 2016 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Uncertainty-Aware Partial-Label Learning.
CoRR, 2024

2023
Impact of Hint Content on Performance and Learning: A Study with Primary School Children in a Scratch Course.
Proceedings of the 18th WiPSCE Conference on Primary and Secondary Computing Education Research, 2023

Active Learning for SAT Solver Benchmarking.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

2020
DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space.
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020

2018
Design of an Algorithm for Automated, Computer-Guided PASI Measurements by Digital Image Analysis.
J. Medical Syst., 2018

A Portable Multidimensional Coarray for C++.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Utilizing Heterogeneous Memory Hierarchies in the PGAS Model.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Investigating the performance and productivity of DASH using the Cowichan problems.
Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018

2017
Runtime Support for Distributed Dynamic Locality.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

2016
Tool Support for Developing DASH Applications.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Expressing and Exploiting Multi-Dimensional Locality in DASH.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Effective use of the PGAS Paradigm: Driving Transformations and Self-Adaptive Behavior in DASH-Applications.
CoRR, 2016

DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

A Multi-dimensional Distributed Array Abstraction for PGAS.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016


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