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Jan Laukemann
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Automated instruction stream throughput prediction for intel and amd microarchitectures
J Laukemann, J Hammer, J Hofmann, G Hager, G Wellein
2018 IEEE/ACM performance modeling, benchmarking and simulation of high …, 2018
362018
Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX
C Alappat, N Meyer, J Laukemann, T Gruber, G Hager, G Wellein, ...
Concurrency and Computation: Practice and Experience 34 (20), e6512, 2022
282022
Alto: Adaptive linearized storage of sparse tensors
AE Helal, J Laukemann, F Checconi, JJ Tithi, T Ranadive, F Petrini, ...
Proceedings of the ACM International Conference on Supercomputing, 404-416, 2021
252021
Automatic throughput and critical path analysis of x86 and arm assembly kernels
J Laukemann, J Hammer, G Hager, G Wellein
2019 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2019
242019
Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX
C Alappat, J Laukemann, T Gruber, G Hager, G Wellein, N Meyer, ...
2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2020
162020
Automated instruction stream throughput prediction for intel and amd microarchitectures. In 2018 IEEE/ACM performance modeling, benchmarking and simulation of high performance …
J Laukemann, J Hammer, J Hofmann, G Hager, G Wellein
IEEE, 121ś131, 2018
162018
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures
A Nguyen, AE Helal, F Checconi, J Laukemann, JJ Tithi, Y Soh, ...
Proceedings of the 36th ACM International Conference on Supercomputing, 1-13, 2022
52022
Design and Implementation of a Framework for Predicting Instruction Throughput
J Laukemann
22017
MD-Bench: A performance-focused prototyping harness for state-of-the-art short-range molecular dynamics algorithms
RRL Machado, J Eitzinger, J Laukemann, G Hager, H Köstler, G Wellein
Future Generation Computer Systems 149, 25-38, 2023
2023
CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion
J Laukemann, T Gruber, G Hager, D Oryspayev, G Wellein
arXiv preprint arXiv:2311.04797, 2023
2023
Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams
Y Soh, AE Helal, F Checconi, J Laukemann, JJ Tithi, T Ranadive, F Petrini, ...
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023
2023
Core-Level Performance Engineering with the Open-Source Architecture Code Analyzer (OSACA) and the Compiler Explorer
J Laukemann, G Hager
Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023
2023
MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages
RRL Machado, J Eitzinger, J Laukemann, G Hager, H Köstler, G Wellein
arXiv preprint arXiv:2302.14660, 2023
2023
MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages
R Ravedutti Lucio Machado, J Eitzinger, J Laukemann, G Hager, ...
arXiv e-prints, arXiv: 2302.14660, 2023
2023
Reproducibility report: Team SegFAUlt@ SCC 2016
A Ditter, J Laukemann, B Oehlrich
Parallel Computing 70, 41-45, 2017
2017
Cross-Architecture Automatic Critical Path Detection For In-Core Performance Analysis
J Laukemann
PMBS 2019
J Laukemann, J Hammer, G Hager, N Ding, S Williams, J Salmon, ...
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