Lukas Gianinazzi

55 papers A* 5A 9B 6C 3Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Demystifying Higher-Order Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Grzegorz Kwasniewski, Shachar Klaiman, Jürgen Müller, Torsten Hoefler
2026 A conf
REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation.
EuroSys
Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini, Michael Papamichael, Mohammad Dohadwala, Lukas Gianinazzi, Mikhail Khalilov, Elias Achermann, Daniele De Sensi, Torsten Hoefler
2025 J jnl
Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns.
NeuroImage
Anna Speckert, Lukas Gianinazzi, Sepp Kollmorgen, Cornelia F. Hagmann, Patrice Grehten, Raimund Kottke, Giancarlo Natalucci, Beatrice Latal, Walter Knirsch, Ruth Tuura, Torsten Hoefler, András Jakab
2025 J jnl
Demystifying Chains, Trees, and Graphs of Thoughts.
IEEE Trans. Pattern Anal. Mach. Intell.
Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwasniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Aidan O'Mahony, Onur Mutlu, Torsten Hoefler
2025 A conf
EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC.
ICS
Siyuan Shen, Mikhail Khalilov, Lukas Gianinazzi, Timo Schneider, Marcin Chrapek, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler
2025 J jnl
EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC.
CoRR
Siyuan Shen, Mikhail Khalilov, Lukas Gianinazzi, Timo Schneider, Marcin Chrapek, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler
2025 A conf
Energy-Optimal and Low-Depth Algorithmic Primitives for Spatial Dataflow Architectures.
IPDPS
Lukas Gianinazzi, Tal Ben-Nun, Maciej Besta, Saleh Ashkboos, Yves Baumann, Piotr Luczynski, Torsten Hoefler
2025 — —
Exploiting Graph Structure to Accelerate Sparse Computations.
Lukas Gianinazzi
2025 J jnl
SPADA: A Spatial Dataflow Architecture Programming Language.
CoRR
Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler
2024 B conf
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication.
PPoPP
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
2024 J jnl
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication.
CoRR
Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboos, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler
2024 J jnl
Demystifying Higher-Order Graph Neural Networks.
CoRR
Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Shachar Klaiman, Jürgen Müller, Torsten Hoefler
2024 A* conf
DiffDA: a Diffusion model for weather-scale Data Assimilation.
ICML
Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler
2024 J jnl
DiffDA: a diffusion model for weather-scale data assimilation.
CoRR
Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler
2024 A* conf
Graph of Thoughts: Solving Elaborate Problems with Large Language Models.
AAAI
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
2024 A conf
Low-Depth Spatial Tree Algorithms.
IPDPS
Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
2024 J jnl
Low-Depth Spatial Tree Algorithms.
CoRR
Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
2024 A conf
Near-Optimal Wafer-Scale Reduce.
HPDC
Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
2024 J jnl
Near-Optimal Wafer-Scale Reduce.
CoRR
Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
2024 J jnl
Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts.
CoRR
Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwasniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Onur Mutlu, Torsten Hoefler
2023 J jnl
Graph of Thoughts: Solving Elaborate Problems with Large Language Models.
CoRR
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
2023 — conf
HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers.
LoG
Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
2023 J jnl
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers.
CoRR
Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
2023 A conf
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.
SC
Maciej Besta, Pawel Renc, Robert Gerstenberger, Paolo Sylos Labini, Alexandros Nikolaos Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, Patrick Iff, Grzegorz Kwasniewski, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler
2023 C conf
Maximum Flows in Parametric Graph Templates.
CIAC
Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
2023 J jnl
Maximum Flows in Parametric Graph Templates.
CoRR
Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
2023 A conf
Streaming Task Graph Scheduling for Dataflow Architectures.
HPDC
Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
2023 J jnl
Streaming Task Graph Scheduling for Dataflow Architectures.
CoRR
Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
2022 J jnl
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast.
CoRR
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler
2022 A* conf
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts.
NeurIPS
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler
2022 A* conf
Motif Prediction with Graph Neural Networks.
KDD
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2022 J jnl
The spatial computer: A model for energy-efficient parallel computation.
CoRR
Lukas Gianinazzi, Tal Ben-Nun, Saleh Ashkboos, Yves Baumann, Piotr Luczynski, Torsten Hoefler
2021 J jnl
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra.
CoRR
Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beránek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Özdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Pavel Kalvoda, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021 J jnl
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra.
Proc. VLDB Endow.
Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beránek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Özdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021 J jnl
Learning Combinatorial Node Labeling Algorithms.
CoRR
Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler
2021 J jnl
Motif Prediction with Graph Neural Networks.
CoRR
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2021 B conf
Parallel Algorithms for Finding Large Cliques in Sparse Graphs.
SPAA
Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
2021 J jnl
Parallel Algorithms for Finding Large Cliques in Sparse Graphs.
CoRR
Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
2021 J jnl
Parallel Minimum Cuts in Near-linear Work and Low Depth.
ACM Trans. Parallel Comput.
Barbara Geissmann, Lukas Gianinazzi
2021 B conf
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs.
SPAA
Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
2021 J jnl
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs.
CoRR
Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
2021 A* conf
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.
MICRO
Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez-Luna, Jakub Golinowski, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Nils Blach, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021 J jnl
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.
CoRR
Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez-Luna, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2020 J jnl
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality.
CoRR
Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda, Lukas Gianinazzi, Torsten Hoefler
2020 A conf
High-performance parallel graph coloring with strong guarantees on work, depth, and quality.
SC
Maciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Torsten Hoefler
2020 B conf
Parallel Planar Subgraph Isomorphism and Vertex Connectivity.
SPAA
Lukas Gianinazzi, Torsten Hoefler
2020 J jnl
Parallel Planar Subgraph Isomorphism and Vertex Connectivity.
CoRR
Lukas Gianinazzi, Torsten Hoefler
2020 J jnl
Parametric Graph Templates: Properties and Algorithms.
CoRR
Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
2019 C conf
Routing in Stochastic Public Transit Networks.
ATMOS
Barbara Geissmann, Lukas Gianinazzi
2019 J jnl
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics.
CoRR
Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
2019 A conf
Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics.
SC
Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
2018 B conf
Communication-avoiding parallel minimum cuts and connected components.
PPoPP
Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler
2018 B conf
Parallel Minimum Cuts in Near-linear Work and Low Depth.
SPAA
Barbara Geissmann, Lukas Gianinazzi
2018 J jnl
Parallel Minimum Cuts in Near-linear Work and Low Depth.
CoRR
Barbara Geissmann, Lukas Gianinazzi
2017 C conf
Cache Oblivious Minimum Cut.
CIAC
Barbara Geissmann, Lukas Gianinazzi