Johannes Hofmann - researchr alias

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Viewing Publication 1 - 13 from 13

2019

A First-Principles Approach to Performance, Power, and Energy Models for Contemporary Multi- and Many-Core ProcessorsJohannes Hofmann. PhD thesis, University of Erlangen-Nuremberg, Germany, 2019. [doi]

2018

On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore ProcessorsJohannes Hofmann, Georg Hager, Dietmar Fey. supercomputer 2018: 22-43 [doi]

Automated Instruction Stream Throughput Prediction for Intel and AMD MicroarchitecturesJan Laukemann, Julian Hammer, Johannes Hofmann, Georg Hager, Gerhard Wellein. sc 2018: 121-131 [doi]

2017

An Analysis of Core- and Chip-Level Architectural Features in Four Generations of Intel Server ProcessorsJohannes Hofmann, Georg Hager, Gerhard Wellein, Dietmar Fey. supercomputer 2017: 294-314 [doi]

Performance analysis of the Kahan-enhanced scalar product on current multi-core and many-core processorsJohannes Hofmann, Dietmar Fey, Michael Riedmann, Jan Eitzinger, Georg Hager, Gerhard Wellein. concurrency, 29(9), 2017. [doi]

2016

Analysis of Intel's Haswell Microarchitecture Using the ECM Model and MicrobenchmarksJohannes Hofmann, Dietmar Fey, Jan Eitzinger, Georg Hager, Gerhard Wellein. arcs 2016: 210-222 [doi]

An ECM-based Energy-Efficiency Optimization Approach for Bandwidth-Limited Streaming Kernels on Recent Intel Xeon ProcessorsJohannes Hofmann, Dietmar Fey. sc 2016: 31-38 [doi]

2015

Performance Analysis of the Kahan-Enhanced Scalar Product on Current Multicore ProcessorsJohannes Hofmann, Dietmar Fey, Michael Riedmann, Jan Eitzinger, Georg Hager, Gerhard Wellein. ppam 2016: 63-73 [doi]

2014

Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi AcceleratorJohannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein. arcs 2014: 1-8 [doi]

Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi- and manycore chipsJohannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein. ppopp 2014: 57-64 [doi]

2013

Performance investigations of genetic algorithms on graphics cardsJohannes Hofmann, Steffen Limmer, Dietmar Fey. swevo, 12:33-47, 2013. [doi]

2012

Leistungsanalyse Evolutionärer Algorithmen auf GPUs im Vergleich zu Multikern-CPUsJohannes Hofmann. informatiktage 2012: 19-22

1985

Analyse des Anwendungsbereiches von Problemlösungsmethoden: d. Entwicklung von Anwendungsvorschr. für Problemlösungsmethoden u.d. Bestimmung d. Anwendungsbereiches von Problemlösungsmethoden auf d. Grundlage e. differenzierten problemtheoret. Bezugsrahmens für Probleme, Problemlösungsprozesse u. ProblemlösungsmethodenJohannes Hofmann. PhD thesis, Technical University of Berlin, Germany, 1985. [doi]

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