Reproducibility report: Team SegFAUlt @ SCC 2016. - Alexander Ditter; Jan Laukemann; Benedikt Oehlrich (Parallel Comput., 2017)

Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures. - Jan Laukemann; Julian Hammer; Johannes Hofmann 001; Georg Hager; Gerhard Wellein (PMBS@SC, 2018)

Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels. - Jan Laukemann; Julian Hammer; Georg Hager; Gerhard Wellein (PMBS@SC, 2019)

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 (PMBS@SC, 2020)

ALTO: adaptive linearized storage of sparse tensors. - Ahmed E. Helal; Jan Laukemann; Fabio Checconi; Jesmin Jahan Tithi; Teresa M. Ranadive; Fabrizio Petrini; Jeewhan Choi (ICS, 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)

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 (ICS, 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)

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 (IPDPS, 2023)

Core-Level Performance Engineering with the Open-Source Architecture Code Analyzer (OSACA) and the Compiler Explorer. - Jan Laukemann; Georg Hager (ICPE (Companion), 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)

Artifact description for PMBS'23 paper: Calculating Primes the Expensive Way: A Case Study in Write-Allocate Evasion on Intel Ice Lake SP. - Jan Laukemann; Thomas Gruber; Georg Hager; Dossay Oryspayev; Gerhard Wellein (Zenodo, 2023)

Artifact description for PMBS'23 paper: Calculating Primes the Expensive Way: A Case Study in Write-Allocate Evasion on Intel Ice Lake SP. - Jan Laukemann; Thomas Gruber; Georg Hager; Dossay Oryspayev; Gerhard Wellein (Zenodo, 2023)

Artifact description: CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion. - Jan Laukemann; Thomas Gruber; Georg Hager; Dossay Oryspayev; Gerhard Wellein (Zenodo, 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., 2023)

CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion. - Jan Laukemann; Thomas Gruber; Georg Hager; Dossay Oryspayev; Gerhard Wellein (IPDPS, 2024)

Microarchitectural comparison and in-core modeling of state-of-the-art CPUs: Grace, Sapphire Rapids, and Genoa. - Jan Laukemann; Georg Hager; Gerhard Wellein (SC Workshops, 2024)

Artifact description: CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion. - Jan Laukemann; Thomas Gruber; Georg Hager; Dossay Oryspayev; Gerhard Wellein (Zenodo, 2024)

Microarchitectural comparison and in-core modeling of state-of-the-art CPUs: Grace, Sapphire Rapids, and Genoa - PMBS@SC24 Artifact. - Jan Laukemann; Georg Hager; Gerhard Wellein (Zenodo, 2024)

Generating Data Locality to Accelerate Sparse Matrix-Matrix Multiplication on CPUs. - Jordi Wolfson-Pou; Jan Laukemann; Fabrizio Petrini (CoRR, 2025)

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 (IEEE Trans. Parallel Distributed Syst., 2025)