Lukas Gianinazzi

According to our database, Lukas Gianinazzi authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Demystifying Higher-Order Graph Neural Networks.

Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Shachar Klaiman, Jürgen Müller, Torsten Hoefler

CoRR, 2024

Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts.

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

CoRR, 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

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Low-Depth Spatial Tree Algorithms.

Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

DiffDA: a Diffusion model for weather-scale Data Assimilation.

Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Near-Optimal Wafer-Scale Reduce.

Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

Graph of Thoughts: Solving Elaborate Problems with Large Language Models.

Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GNN Scaling 0.1 Software Artifact.

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

Dataset, June, 2023

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

Dataset, April, 2023

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.

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

Proceedings of the International Conference for High Performance Computing, 2023

HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers.

Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Streaming Task Graph Scheduling for Dataflow Architectures.

Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Maximum Flows in Parametric Graph Templates.

Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik

Proceedings of the Algorithms and Complexity - 13th International Conference, 2023

2022

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast.

Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

CoRR, 2022

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

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts.

Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Motif Prediction with Graph Neural Networks.

Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Parallel Minimum Cuts in Near-linear Work and Low Depth.

Barbara Geissmann, Lukas Gianinazzi

ACM Trans. Parallel Comput., 2021

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra.

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

Proc. VLDB Endow., 2021

Learning Combinatorial Node Labeling Algorithms.

Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler

CoRR, 2021

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.

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

CoRR, 2021

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra.

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

CoRR, 2021

Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs.

Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Parallel Algorithms for Finding Large Cliques in Sparse Graphs.

Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.

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

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

Parametric Graph Templates: Properties and Algorithms.

Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik

CoRR, 2020

Parallel Planar Subgraph Isomorphism and Vertex Connectivity.

Lukas Gianinazzi, Torsten Hoefler

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

High-performance parallel graph coloring with strong guarantees on work, depth, and quality.

Maciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2020

2019

Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics.

Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2019

Routing in Stochastic Public Transit Networks.

Barbara Geissmann, Lukas Gianinazzi

Proceedings of the 19th Symposium on Algorithmic Approaches for Transportation Modelling, 2019

2018

Communication-avoiding parallel minimum cuts and connected components.

Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

2017

Cache Oblivious Minimum Cut.

Barbara Geissmann, Lukas Gianinazzi

Proceedings of the Algorithms and Complexity - 10th International Conference, 2017