Lukas Gianinazzi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Weather Forecast

Matrix Decomposition

Top Venues

Publications

Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler
DiffDA: a diffusion model for weather-scale data assimilation. CoRR (2024)
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
Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts. CoRR (2024)
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
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. PPoPP (2024)
Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
Low-Depth Spatial Tree Algorithms. IPDPS (2024)
Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
Near-Optimal Wafer-Scale Reduce. CoRR (2024)
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
Graph of Thoughts: Solving Elaborate Problems with Large Language Models. AAAI (2024)
Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Shachar Klaiman, Jürgen Müller, Torsten Hoefler
Demystifying Higher-Order Graph Neural Networks. CoRR (2024)
Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
Low-Depth Spatial Tree Algorithms. CoRR (2024)
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
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. CoRR (2024)
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
Graph of Thoughts: Solving Elaborate Problems with Large Language Models. CoRR (2023)
Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers. LoG (2023)
Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
Maximum Flows in Parametric Graph Templates. CoRR (2023)
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
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. SC (2023)
Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
Maximum Flows in Parametric Graph Templates. CIAC (2023)
Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers. CoRR (2023)
Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
Streaming Task Graph Scheduling for Dataflow Architectures. HPDC (2023)
Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
Streaming Task Graph Scheduling for Dataflow Architectures. CoRR (2023)
Lukas Gianinazzi, Tal Ben-Nun, Saleh Ashkboos, Yves Baumann, Piotr Luczynski, Torsten Hoefler
The spatial computer: A model for energy-efficient parallel computation. CoRR (2022)
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
Motif Prediction with Graph Neural Networks. KDD (2022)
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts. NeurIPS (2022)
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast. CoRR (2022)
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
Motif Prediction with Graph Neural Networks. CoRR (2021)
Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
Parallel Algorithms for Finding Large Cliques in Sparse Graphs. CoRR (2021)
Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. SPAA (2021)
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
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. CoRR (2021)
Barbara Geissmann, Lukas Gianinazzi
Parallel Minimum Cuts in Near-linear Work and Low Depth. ACM Trans. Parallel Comput. 8 (2) (2021)
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
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. CoRR (2021)
Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
Parallel Algorithms for Finding Large Cliques in Sparse Graphs. SPAA (2021)
Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. CoRR (2021)
Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler
Learning Combinatorial Node Labeling Algorithms. CoRR (2021)
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
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. MICRO (2021)
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
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. Proc. VLDB Endow. 14 (11) (2021)
Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda, Lukas Gianinazzi, Torsten Hoefler
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality. CoRR (2020)
Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
Parametric Graph Templates: Properties and Algorithms. CoRR (2020)
Maciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Torsten Hoefler
High-performance parallel graph coloring with strong guarantees on work, depth, and quality. SC (2020)
Lukas Gianinazzi, Torsten Hoefler
Parallel Planar Subgraph Isomorphism and Vertex Connectivity. SPAA (2020)
Lukas Gianinazzi, Torsten Hoefler
Parallel Planar Subgraph Isomorphism and Vertex Connectivity. CoRR (2020)
Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics. SC (2019)
Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics. CoRR (2019)
Barbara Geissmann, Lukas Gianinazzi
Routing in Stochastic Public Transit Networks. ATMOS (2019)
Barbara Geissmann, Lukas Gianinazzi
Parallel Minimum Cuts in Near-linear Work and Low Depth. CoRR (2018)
Barbara Geissmann, Lukas Gianinazzi
Parallel Minimum Cuts in Near-linear Work and Low Depth. SPAA (2018)
Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler
Communication-avoiding parallel minimum cuts and connected components. PPOPP (2018)
Barbara Geissmann, Lukas Gianinazzi
Cache Oblivious Minimum Cut. CIAC (2017)