Dr.-Ing. Johannes Hofmann

• 2018: Gauss Award (Gauss Centre for Supercomputing (GCS))

2020

• Alappat C., Hofmann J., Hager G., Fehske H., Bishop AR., Wellein G.:
  Understanding HPC benchmark performance on intel broadwell and cascade lake processors
  35th International Conference on High Performance Computing, ISC High Performance 2020 (Frankfurt, 22. Juni 2020 - 25. Juni 2020)
  In: Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
  DOI: 10.1007/978-3-030-50743-5_21
• Hofmann J., Alappat C., Hager G., Fey D., Wellein G.:
  Bridging the architecture gap: Abstracting performance-relevant properties of modern server processors
  In: Supercomputing Frontiers and Innovations 7 (2020), S. 54-78
  ISSN: 2409-6008
  DOI: 10.14529/jsfi200204

2019

• Hofmann J.:
  A First-Principles Approach to Performance, Power, and Energy Models for Contemporary Multi- and Many-Core Processors (Dissertation, 2019)
  URL: https://www.dr.hut-verlag.de/9783843941877.html
• Laukemann J., Hammer J., Hofmann J., Hager G., Wellein G.:
  Automated instruction stream throughput prediction for intel and AMD microarchitectures
  2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, PMBS 2018 (Dallas, TX, 12. November 2018)
  In: Proceedings of PMBS 2018: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis 2019
  DOI: 10.1109/PMBS.2018.8641578

2018

• Hofmann J., Hager G., Fey D.:
  On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors
  High Performance Computing: 33rd International Conference, ISC High Performance 2018 (Frankfurt, 24. Juni 2018 - 28. Juni 2018)
  In: High Performance Computing: 33rd International Conference, ISC High Performance 2018, Cham: 2018
  DOI: 10.1007/978-3-319-92040-5_2
• Laukemann J., Hammer J., Hofmann J., Hager G., Wellein G.:
  Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures
  2018 ACM/IEEE Supercomputing Conference (Dallas, TX, 12. November 2018 - 12. November 2018)
  In: 2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) 2018
  DOI: 10.1007/978-3-319-92040-5_2
  URL: https://ieeexplore.ieee.org/document/8641578

2017

• Hofmann J., Fey D., Riedmann M., Eitzinger J., Hager G., Wellein G.:
  Performance analysis of the Kahan-enhanced scalar product on current multi-core and many-core processors
  In: Concurrency and Computation-Practice & Experience 29 (2017)
  ISSN: 1532-0626
  DOI: 10.1002/cpe.3921
• Hofmann J., Hager G., Wellein G., Fey D.:
  An Analysis of Core- and Chip-Level Architectural Features in Four Generations of Intel Server Processors
  32nd International Conference on High Performance Computing: ISC High Performance 2017 (Frankfurt)
  In: High Performance Computing. ISC 2017. Lecture Notes in Computer Science, vol 10266, Cham: 2017
  DOI: 10.1007/978-3-319-58667-0_16

2016

• Hofmann J., Fey D.:
  An ECM-based Energy-efficiency Optimization Approach for Bandwidth-limited Streaming Kernels on Recent Intel Xeon Processors
  4th International Workshop on Energy Efficient Supercomputing (Salt Lake City, UT, USA, 13. November 2016 - 18. November 2016)
  In: Proceedings of the 4th International Workshop on Energy Efficient Supercomputing 2016
  DOI: 10.1109/E2SC.2016.16
• Hofmann J., Fey D., Eitzinger J., Hager G., Wellein G.:
  Analysis of intel’s haswell microarchitecture using the ECM model and microbenchmarks
  Springer Verlag, 2016
  ISBN: 9783319306940
  DOI: 10.1007/978-3-319-30695-7_16
• Hofmann J., Fey D., Eitzinger J., Hager G., Wellein G.:
  Analysis of Intel's Haswell Microarchitecture Using the ECM Model and Microbenchmarks
  29th International Conference on Architecture of Computing Systems (Nuremberg)
  In: Architecture of Computing Systems -- ARCS 2016: 29th International Conference, Nuremberg, Germany, April 4-7, 2016, Proceedings, Cham: 2016
  DOI: 10.1007/978-3-319-30695-7_16
• Hofmann J., Fey D., Riedman M., Eitzinger J., Hager G., Wellein G.:
  Performance analysis of the Kahan-enhanced scalar product on current multi-corecore and many-core processors
  In: Concurrency and Computation-Practice & Experience 28 (2016)
  ISSN: 1532-0626
  DOI: 10.1002/cpe.3921
• Vaas S., Reichenbach M., Hofmann J., Stadelmayer T., Fey D.:
  Embedded Parallel Computing Accelerators for Smart Control Units of Frequency Converters
  12th Workshop on Parallel Systems and Algorithms (PASA) (Nuremberg, 4. April 2016 - 7. April 2016)
  In: ARCS 2016; 29th International Conference on Architecture of Computing Systems, Nuremberg, Germany: 2016

2015

• Hofmann J., Eitzinger J., Fey D.:
  Execution-Cache-Memory Performance Model: Introduction and Validation
  (2015)
  URL: https://arxiv.org/abs/1509.03118
  (Techreport)
• Hofmann J., Fey D., Eitzinger J., Hager G., Wellein G.:
  Performance analysis of the Kahan-enhanced scalar product on current multicore processors
  the 11th International Conference on Parallel Processing and Applied Mathematics (Krakow, Poland)
  In: Accepted for PPAM 2015 2015
  URL: http://arxiv.org/abs/1505.02586

2014

• Hofmann J.:
  Performance Evaluation of the Intel Many Integrated Core Architecture for 3D Image Reconstruction in Computed Tomography (Masterarbeit, 2014)
  URL: http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:29-opus4-41174
  (Techreport)
• Hofmann J., Eitzinger J., Hager G., Wellein G.:
  Comparing the Performance of Different x86 SIMD Instruction Sets for a Medical Imaging Application on Modern Multi- and Manycore Chips
  2014 1st ACM SIGPLAN Workshop on Programming Models for SIMD/Vector Processing, WPMVP 2014 - Co-located with PPoPP 2014 (Orlando, USA, 16. Februar 2014 - 16. Februar 2014)
  In: Proceedings of the 2014 Workshop on Programming models for SIMD/Vector processing, New York, NY, USA: 2014
  DOI: 10.1145/2568058.2568068
  URL: http://dl.acm.org/citation.cfm?doid=2568058.2568068
• Hofmann J., Eitzinger J., Hager G., Wellein G.:
  Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator
  In: ARCS Workshops'14 2014
  URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6775080&isnumber=6775071

2013

• Hofmann J., Fey D.:
  Fast Evolutionary Algorithms: Comparing High Performance Capabilities of CPUs and GPUs
  Parallel-Algorithmen und Rechnerstrukturen (Erlangen)
  In: Mitteilungen - Gesellschaft für Informatik e.V. 2013
• Hofmann J., Limmer S., Fey D.:
  Performance Investigations of Genetic Algorithms on Graphics Cards
  In: Swarm and Evolutionary Computation (2013), S. 33-47
  ISSN: 2210-6502
  DOI: 10.1016/j.swevo.2013.04.003
  URL: http://www.sciencedirect.com/science/article/pii/S2210650213000187

2012

• Hofmann J.:
  Leistungsanalyse Evolutionärer Algorithmen auf GPUs im Vergleich zu Multikern-CPUs
  Informatiktage 2012 (Bonn)
  In: Lecture Notes in Informatics 2012
• Pruksch Matthias, Limmer Steffen, Hofmann Johannes:
  Der modellzentrierte Test geht in die Cloud
  (2012), S. 16-17
  (Zeitungsartikel)

2011

• Hofmann J.:
  Evolving Neural Networks on GPUs
  GPUs for Genetic and Evolutionary Computation, Competition at 2011 Genetic and Evolutionary Computation Conference July 12-16 2011 (Dublin)