Jan Eitzinger
Cited by
Cited by
Likwid: A lightweight performance-oriented tool suite for x86 multicore environments
J Treibig, G Hager, G Wellein
2010 39th international conference on parallel processing workshops, 207-216, 2010
Exploring performance and power properties of modern multi‐core chips via simple machine models
G Hager, J Treibig, J Habich, G Wellein
Concurrency and computation: practice and experience 28 (2), 189-210, 2016
Quantifying performance bottlenecks of stencil computations using the execution-cache-memory model
H Stengel, J Treibig, G Hager, G Wellein
Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015
Expression templates revisited: a performance analysis of current methodologies
K Iglberger, G Hager, J Treibig, U Rüde
SIAM Journal on Scientific Computing 34 (2), C42-C69, 2012
Introducing a performance model for bandwidth-limited loop kernels
J Treibig, G Hager
International Conference on Parallel Processing and Applied Mathematics, 615-624, 2009
Efficient multicore-aware parallelization strategies for iterative stencil computations
J Treibig, G Wellein, G Hager
Journal of Computational Science 2 (2), 130-137, 2011
Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi-and manycore chips
J Hofmann, J Treibig, G Hager, G Wellein
Proceedings of the 2014 Workshop on Programming models for SIMD/Vector …, 2014
High performance smart expression template math libraries
K Iglberger, G Hager, J Treibig, U Rüde
2012 International Conference on High Performance Computing & Simulation …, 2012
Pushing the limits for medical image reconstruction on recent standard multicore processors
J Treibig, G Hager, HG Hofmann, J Hornegger, G Wellein
The International journal of high performance computing applications 27 (2 …, 2013
LIKWID Monitoring Stack: A flexible framework enabling job specific performance monitoring for the masses
T Röhl, J Eitzinger, G Hager, G Wellein
2017 IEEE International Conference on Cluster Computing (CLUSTER), 781-784, 2017
Kerncraft: A tool for analytic performance modeling of loop kernels
J Hammer, J Eitzinger, G Hager, G Wellein
Tools for High Performance Computing 2016, 1-22, 2017
Chip‐level and multi‐node analysis of energy‐optimized lattice Boltzmann CFD simulations
M Wittmann, G Hager, T Zeiser, J Treibig, G Wellein
Concurrency and Computation: Practice and Experience 28 (7), 2295-2315, 2016
Automatic loop kernel analysis and performance modeling with kerncraft
J Hammer, G Hager, J Eitzinger, G Wellein
Proceedings of the 6th International Workshop on Performance Modeling …, 2015
Leveraging shared caches for parallel temporal blocking of stencil codes on multicore processors and clusters
M Wittmann, G Hager, J Treibig, G Wellein
Parallel Processing Letters 20 (04), 359-376, 2010
Tools and methods for measuring and tuning the energy efficiency of HPC systems
R Schöne, J Treibig, MF Dolz, C Guillen, C Navarrete, M Knobloch, ...
Scientific programming 22 (4), 273-283, 2014
Performance patterns and hardware metrics on modern multicore processors: Best practices for performance engineering
J Treibig, G Hager, G Wellein
European Conference on Parallel Processing, 451-460, 2012
Execution-cache-memory performance model: Introduction and validation
J Hofmann, J Eitzinger, D Fey
arXiv preprint arXiv:1509.03118, 2015
likwid-bench: An extensible microbenchmarking platform for x86 multicore compute nodes
J Treibig, G Hager, G Wellein
Tools for High Performance Computing 2011, 27-36, 2012
Analysis of intel’s haswell microarchitecture using the ecm model and microbenchmarks
J Hofmann, D Fey, J Eitzinger, G Hager, G Wellein
International conference on architecture of computing systems, 210-222, 2016
Performance engineering for a medical imaging application on the Intel Xeon Phi accelerator
J Hofmann, J Treibig, G Hager, G Wellein
ARCS 2014; 2014 Workshop Proceedings on Architecture of Computing Systems, 1-8, 2014
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