Jan Laukemann

According to our database, Jan Laukemann authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Microarchitectural comparison and in-core modeling of state-of-the-art CPUs: Grace, Sapphire Rapids, and Genoa.

Jan Laukemann, Georg Hager, Gerhard Wellein

CoRR, 2024

Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation.

Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi

CoRR, 2024

CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion.

Jan Laukemann, Thomas Gruber, Georg Hager, Dossay Oryspayev, Gerhard Wellein

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

MD-Bench: A performance-focused prototyping harness for state-of-the-art short-range molecular dynamics algorithms.

Rafael Ravedutti Lucio Machado, Jan Eitzinger, Jan Laukemann, Georg Hager, Harald Köstler, Gerhard Wellein

Future Gener. Comput. Syst., December, 2023

MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages.

Rafael Ravedutti Lucio Machado, Jan Eitzinger, Jan Laukemann, Georg Hager, Harald Köstler, Gerhard Wellein

CoRR, 2023

Core-Level Performance Engineering with the Open-Source Architecture Code Analyzer (OSACA) and the Compiler Explorer.

Jan Laukemann, Georg Hager

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams.

Yongseok Soh, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Execution-Cache-Memory modeling and performance tuning of sparse matrix-vector multiplication and Lattice quantum chromodynamics on A64FX.

Christie L. Alappat, Nils Meyer, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Tilo Wettig

Concurr. Comput. Pract. Exp., 2022

Efficient, out-of-memory sparse MTTKRP on massively parallel architectures.

Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021

ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX.

Christie L. Alappat, Nils Meyer, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Tilo Wettig

CoRR, 2021

ALTO: adaptive linearized storage of sparse tensors.

Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX.

Christie L. Alappat, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Nils Meyer, Tilo Wettig

Proceedings of the 2020 IEEE/ACM Performance Modeling, 2020

2019

Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels.

Jan Laukemann, Julian Hammer, Georg Hager, Gerhard Wellein

Proceedings of the 2019 IEEE/ACM Performance Modeling, 2019

2018

Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures.

Jan Laukemann, Julian Hammer, Johannes Hofmann, Georg Hager, Gerhard Wellein

Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

2017

Reproducibility report: Team SegFAUlt @ SCC 2016.

Alexander Ditter, Jan Laukemann, Benedikt Oehlrich

Parallel Comput., 2017