Compiling for Resilience: the Performance Gap. - Norman A. Rink; Dmitrii Kuvaiskii; Jerónimo Castrillón; Christof Fetzer (PARCO, 2015)

Fault tolerance with aspects: a feasibility study. - Sven Karol; Norman A. Rink; Bálint Gyapjas; Jerónimo Castrillón (MODULARITY, 2016)

Extending a Compiler Backend for Complete Memory Error Detection. - Norman A. Rink; Jerónimo Castrillón (Automotive - Safety & Security, 2017)

Trading Fault Tolerance for Performance in AN Encoding. - Norman A. Rink; Jerónimo Castrillón (Conf. Computing Frontiers, 2017)

Towards compositional and generative tensor optimizations. - Adilla Susungi; Norman A. Rink; Jerónimo Castrillón; Immo Huismann; Albert Cohen 001; Claude Tadonki; Jörg Stiller; Jochen Fröhlich (GPCE, 2017)

CFDlang: High-level code generation for high-order methods in fluid dynamics. - Norman A. Rink; Adilla Susungi; Jerónimo Castrillón; Jörg Stiller; Claude Tadonki (RWDSL@CGO, 2018)

Meta-programming for cross-domain tensor optimizations. - Adilla Susungi; Norman A. Rink; Albert Cohen 001; Jerónimo Castrillón; Claude Tadonki (GPCE, 2018)

Modeling of languages for tensor manipulation. - Norman A. Rink (CoRR, 2018)

STCLang: state thread composition as a foundation for monadic dataflow parallelism. - Sebastian Ertel; Justus Adam; Norman A. Rink; Andrés Goens; Jerónimo Castrillón (Haskell@ICFP, 2019)

Optimizing tensor contractions for embedded devices with racetrack memory scratch-pads. - Asif Ali Khan; Norman A. Rink; Fazal Hameed; Jerónimo Castrillón (LCTES, 2019)

TeIL: a type-safe imperative tensor intermediate language. - Norman A. Rink; Jerónimo Castrillón (ARRAY@PLDI, 2019)

Category-Theoretic Foundations of "STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism". - Sebastian Ertel; Justus Adam; Norman A. Rink; Andrés Goens; Jerónimo Castrillón (CoRR, 2019)

Optimizing Tensor Contractions for Embedded Devices with Racetrack and DRAM Memories. - Asif Ali Khan; Norman A. Rink; Fazal Hameed; Jerónimo Castrillón (ACM Trans. Embed. Comput. Syst., 2020)

Memory-efficient array redistribution through portable collective communication. - Norman A. Rink; Adam Paszke; Dimitrios Vytiniotis; Georg Stefan Schmid (CoRR, 2021)

Automap: Towards Ergonomic Automated Parallelism for ML Models. - Michael Schaarschmidt; Dominik Grewe; Dimitrios Vytiniotis; Adam Paszke; Georg Stefan Schmid; Tamara Norman; James Molloy; Jonathan Godwin; Norman Alexander Rink; Vinod Nair; Dan Belov (CoRR, 2021)

Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR. - Sami Alabed; Dominik Grewe; Juliana Franco; Bart Chrzaszcz; Tom Natan; Tamara Norman; Norman A. Rink; Dimitrios Vytiniotis; Michael Schaarschmidt (CoRR, 2022)

PartIR: Composing SPMD Partitioning Strategies for Machine Learning. - Sami Alabed; Bart Chrzaszcz; Juliana Franco; Dominik Grewe; Dougal Maclaurin; James Molloy; Tom Natan; Tamara Norman; Xiaoyue Pan; Adam Paszke; Norman A. Rink; Michael Schaarschmidt; et al. (CoRR, 2024)

PartIR: Composing SPMD Partitioning Strategies for Machine Learning. - Sami Alabed; Daniel Belov; Bart Chrzaszcz; Juliana Franco; Dominik Grewe; Dougal Maclaurin; James Molloy; Tom Natan; Tamara Norman; Xiaoyue Pan; Adam Paszke; Norman A. Rink; et al. (ASPLOS (1), 2025)

TOAST: Fast and scalable auto-partitioning based on principled static analysis. - Sami Alabed; Dominik Grewe; Norman Alexander Rink; Masha Samsikova; Timur Sitdikov; Agnieszka Swietlik; Dimitrios Vytiniotis; Daniel Belov (CoRR, 2025)