GNN Scaling 0.1 Software Artifact

Besta, Maciej; Renc, Pawel; Gerstenberger, Robert; Labini, Paolo Sylos; Ziogas, Alexandros; Chen, Tiancheng; Gianinazzi, Lukas; Scheidl, Florian; Szenes, Kalman; Carigiet, Armon; Iff, Patrick; Kwasniewski, Grzegorz; Kanakagiri, Raghavendra; Ge, Chio; Jaeger, Sammy; Wąs, Jarosław; Vella, Flavio; Hoefler, Torsten

doi:10.5281/zenodo.8081983

Published June 26, 2023 | Version v1

Software Open

GNN Scaling 0.1 Software Artifact

Besta, Maciej¹
Renc, Pawel²
Gerstenberger, Robert¹
Labini, Paolo Sylos³
Ziogas, Alexandros¹
Chen, Tiancheng¹
Gianinazzi, Lukas¹
Scheidl, Florian¹
Szenes, Kalman¹
Carigiet, Armon¹
Iff, Patrick¹
Kwasniewski, Grzegorz⁴
Kanakagiri, Raghavendra⁵
Ge, Chio¹
Jaeger, Sammy¹
Wąs, Jarosław²
Vella, Flavio⁶
Hoefler, Torsten¹

1. ETH Zurich
2. AGH-UST
3. Free University of Bozen-Bolzano
4. NextSilicon
5. University of Illinois at Urbana-Champaign
6. University of Trento

Software artifact of the paper "High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations" accepted at the International Conference on High Performance Computing, Networking, Storage and Analysis (SC'23) for the reproducibility process of the conference.

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gnn_artifact.zip

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Zenodo

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Created: June 27, 2023
Modified: June 28, 2023

GNN Scaling 0.1 Software Artifact

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Files

gnn_artifact.zip

Files (392.5 kB)