The spatial computer: A model for energy-efficient parallel computation. - Lukas Gianinazzi; Tal Ben-Nun; Saleh Ashkboos; Yves Baumann; Piotr Luczynski; Torsten Hoefler (CoRR, 2022)

Arrow Matrix Decompositions. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Piotr Luczynski; Saleh Ashkboosh; Langwen Huang; Florian Scheidl; Chio Ge; Armon Carigiet; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (Zenodo, 2023)

Near-Optimal Wafer-Scale Reduce. - Piotr Luczynski; Lukas Gianinazzi; Patrick Iff; Leighton Wilson; Daniele De Sensi; Torsten Hoefler (HPDC, 2024)

Low-Depth Spatial Tree Algorithms. - Yves Baumann; Tal Ben-Nun; Maciej Besta; Lukas Gianinazzi; Torsten Hoefler; Piotr Luczynski (IPDPS, 2024)

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Langwen Huang; Piotr Luczynski; Saleh Ashkboosh; Florian Scheidl; Armon Carigiet; Chio Ge; Nabil Abubaker; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (PPoPP, 2024)

Energy-Optimal and Low-Depth Algorithmic Primitives for Spatial Dataflow Architectures. - Lukas Gianinazzi; Tal Ben-Nun; Maciej Besta; Saleh Ashkboos; Yves Baumann; Piotr Luczynski; Torsten Hoefler (IPDPS, 2025)

Analysis and Reproducibility of "Productivity, Portability, Performance: Data-Centric Python". - Christopher Lompa; Piotr Luczynski (IEEE Trans. Parallel Distributed Syst., 2025)