Follow
Guido Juckeland
Title
Cited by
Cited by
Year
PIConGPU: a fully relativistic particle-in-cell code for a GPU cluster
H Burau, R Widera, W Hönig, G Juckeland, A Debus, T Kluge, U Schramm, ...
IEEE Transactions on Plasma Science 38 (10), 2831-2839, 2010
2132010
Radiative signatures of the relativistic Kelvin-Helmholtz instability
M Bussmann, H Burau, TE Cowan, A Debus, A Huebl, G Juckeland, ...
Proceedings of the International Conference on High Performance Computing …, 2013
1232013
Parallel performance measurement of heterogeneous parallel systems with gpus
AD Malony, S Biersdorff, S Shende, H Jagode, S Tomov, G Juckeland, ...
2011 international conference on parallel processing, 176-185, 2011
1162011
OpenACC for programmers: Concepts and strategies
S Chandrasekaran, G Juckeland
Addison-Wesley Professional, 2017
1082017
Alpaka--an abstraction library for parallel kernel acceleration
E Zenker, B Worpitz, R Widera, A Huebl, G Juckeland, A Knüpfer, ...
2016 IEEE International Parallel and Distributed Processing Symposium …, 2016
922016
SPEC ACCEL: A standard application suite for measuring hardware accelerator performance
G Juckeland, W Brantley, S Chandrasekaran, B Chapman, S Che, ...
International Workshop on Performance Modeling, Benchmarking and Simulation …, 2014
882014
Comprehensive performance tracking with vampir 7
H Brunst, D Hackenberg, G Juckeland, H Rohling
Tools for High Performance Computing 2009: Proceedings of the 3rd …, 2010
572010
Multiscale modeling of bacterial colonies: how pili mediate the dynamics of single cells and cellular aggregates
W Pönisch, CA Weber, G Juckeland, N Biais, V Zaburdaev
New journal of physics 19 (1), 015003, 2017
412017
BenchIT—Performance measurement and comparison for scientific applications
G Juckeland, S Börner, M Kluge, S Kölling, WE Nagel, S Pflüger, ...
Advances in Parallel Computing 13, 501-508, 2004
332004
Non-intrusive performance analysis of parallel hardware accelerated applications on hybrid architectures
R Dietrich, T Ilsche, G Juckeland
2010 39th International Conference on Parallel Processing Workshops, 135-143, 2010
302010
From describing to prescribing parallelism: Translating the SPEC ACCEL OpenACC suite to OpenMP target directives
G Juckeland, O Hernandez, AC Jacob, D Neilson, VGV Larrea, S Wienke, ...
International Conference on High Performance Computing, 470-488, 2016
212016
Best practices in running collaborative GPU hackathons: Advancing scientific applications with a sustained impact
S Chandrasekaran, G Juckeland, M Lin, M Otten, D Pleiter, JE Stone, ...
Computing in Science & Engineering 20 (4), 95-106, 2018
172018
Performance-portable many-core plasma simulations: Porting picongpu to openpower and beyond
E Zenker, R Widera, A Huebl, G Juckeland, A Knüpfer, WE Nagel, ...
High Performance Computing: ISC High Performance 2016 International …, 2016
172016
Open ACC programs examined: a performance analysis approach
R Dietrich, G Juckeland, M Wolfe
2015 44th International Conference on Parallel Processing, 310-319, 2015
172015
Scalable critical-path analysis and optimization guidance for hybrid MPI-CUDA applications
F Schmitt, R Dietrich, G Juckeland
The International Journal of High Performance Computing Applications 31 (6 …, 2017
152017
Performance analysis with benchit: Portable, flexible, easy to use
G Juckeland, M Kluge, WE Nagel, S PFLuger
First International Conference on the Quantitative Evaluation of Systems …, 2004
152004
First experiences in performance benchmarking with the new SPEChpc 2021 suites
H Brunst, S Chandrasekaran, FM Ciorba, N Hagerty, R Henschel, ...
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022
142022
SPEChpc 2021 benchmark suites for modern HPC systems
J Li, A Bobyr, S Boehm, W Brantley, H Brunst, A Cavelan, ...
Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022
102022
Software publications with rich metadata: state of the art, automated workflows and HERMES concept
S Druskat, O Bertuch, G Juckeland, O Knodel, T Schlauch
arXiv preprint arXiv:2201.09015, 2022
102022
A generic approach for developing highly scalable particle-mesh codes for gpus
W Hönig, F Schmitt, R Widera, H Burau, G Juckeland, MS Müller, ...
SAAHPC.–2010, 2010
102010
The system can't perform the operation now. Try again later.
Articles 1–20