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Gianinazzi, Lukas
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1

Arrow Matrix Decomposition: A Novel Approach for Communicat..:

, In: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming,
Gianinazzi, Lukas ; Ziogas, Alexandros Nikolaos ; Huang, Langwen... - p. 404-416 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Topologies of Reasoning: Demystifying Chains, Trees, and Gr..:

Besta, Maciej ; Memedi, Florim ; Zhang, Zhenyu...
http://arxiv.org/abs/2401.14295.  , 2024
Link: http://arxiv.org/abs/240..
 
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3

DiffDA: a diffusion model for weather-scale data assimilati..:

Huang, Langwen ; Gianinazzi, Lukas ; Yu, Yuejiang..
http://arxiv.org/abs/2401.05932.  , 2024
Link: http://arxiv.org/abs/240..
 
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4

High-Performance and Programmable Attentional Graph Neural ..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Besta, Maciej ; Renc, Pawel ; Gerstenberger, Robert... - p. 1-16 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

High-Performance and Programmable Attentional Graph Neural ..:

, In: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis,
Besta, Maciej ; Renc, Pawel ; Gerstenberger, Robert... - p. 1-18 , 2023
Link: https://doi.org/10.1145/..
 
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6

Streaming Task Graph Scheduling for Dataflow Architectures:

, In: Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing,
De Matteis, Tiziano ; Gianinazzi, Lukas ; de Fine Licht, Johannes. - p. 225-237 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Maximum Flows in Parametric Graph Templates:

, In: Lecture Notes in Computer Science; Algorithms and Complexity,
Ben-Nun, Tal ; Gianinazzi, Lukas ; Hoefler, Torsten. - p. 97-111 , 2023
Link: https://doi.org/10.1007/..
 
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8

Streaming Task Graph Scheduling for Dataflow Architectures:

De Matteis, Tiziano ; Gianinazzi, Lukas ; Licht, Johannes de Fine.
http://arxiv.org/abs/2306.02730.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Maximum Flows in Parametric Graph Templates:

Ben-Nun, Tal ; Gianinazzi, Lukas ; Hoefler, Torsten.
http://arxiv.org/abs/2307.08420.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Graph of Thoughts: Solving Elaborate Problems with Large La..:

Besta, Maciej ; Blach, Nils ; Kubicek, Ales...
http://arxiv.org/abs/2308.09687.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

HOT: Higher-Order Dynamic Graph Representation Learning wit..:

Besta, Maciej ; Catarino, Afonso Claudino ; Gianinazzi, Lukas...
http://arxiv.org/abs/2311.18526.  , 2023
Link: http://arxiv.org/abs/231..
 
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12

Arrow Matrix Decompositions:

Lukas Gianinazzi ; Alexandros Nikolaos Ziogas ; Piotr Luczynski...
info:eu-repo/grantAgreement/SNSF/Programmes/209358/.  , 2023
Link: https://zenodo.org/recor..
 
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13

GNN Scaling 0.1 Software Artifact:

Besta, Maciej ; Renc, Pawel ; Gerstenberger, Robert...
doi:10.5281/zenodo.8081982.  , 2023
Link: https://zenodo.org/recor..
 
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14

Motif Prediction with Graph Neural Networks:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Besta, Maciej ; Grob, Raphael ; Miglioli, Cesare... - p. 35-45 , 2022
Link: https://dl.acm.org/doi/1..
 
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15

The spatial computer: A model for energy-efficient parallel..:

Gianinazzi, Lukas ; Ben-Nun, Tal ; Besta, Maciej...
http://arxiv.org/abs/2205.04934.  , 2022
Link: http://arxiv.org/abs/220..
 
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