Johannes Hofmann
Affiliations:- University of Erlangen-Nuremberg, Germany (PhD 2019)
According to our database1,
Johannes Hofmann
authored at least 18 papers
between 2012 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
2020
Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors.
Supercomput. Front. Innov., 2020
Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors.
Proceedings of the High Performance Computing - 35th International Conference, 2020
2019
A First-Principles Approach to Performance, Power, and Energy Models for Contemporary Multi- and Many-Core Processors.
PhD thesis, 2019
2018
On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors.
Proceedings of the High Performance Computing - 33rd International Conference, 2018
Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures.
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018
2017
Performance analysis of the Kahan-enhanced scalar product on current multi-core and many-core processors.
Concurr. Comput. Pract. Exp., 2017
An Analysis of Core- and Chip-Level Architectural Features in Four Generations of Intel Server Processors.
Proceedings of the High Performance Computing - 32nd International Conference, 2017
2016
Performance analysis of the Kahan-enhanced scalar product on current multi- and manycore processors.
CoRR, 2016
An ECM-based Energy-Efficiency Optimization Approach for Bandwidth-Limited Streaming Kernels on Recent Intel Xeon Processors.
Proceedings of the 4th International Workshop on Energy Efficient Supercomputing, 2016
Analysis of Intel's Haswell Microarchitecture Using the ECM Model and Microbenchmarks.
Proceedings of the Architecture of Computing Systems - ARCS 2016, 2016
2015
Performance analysis of the Kahan-enhanced scalar product on current multicore processors.
CoRR, 2015
Performance Analysis of the Kahan-Enhanced Scalar Product on Current Multicore Processors.
Proceedings of the Parallel Processing and Applied Mathematics, 2015
2014
Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi- and manycore chips.
Proceedings of the 2014 Workshop on Programming models for SIMD/Vector processing, 2014
Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator.
Proceedings of the ARCS 2014, 2014
2013
Swarm Evol. Comput., 2013
2012
Leistungsanalyse Evolutionärer Algorithmen auf GPUs im Vergleich zu Multikern-CPUs.
Proceedings of the Informatiktage 2012, 2012