Search Results - "Carigiet, Armon"

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication by Gianinazzi, Lukas, Ziogas, Alexandros Nikolaos, Huang, Langwen, Luczynski, Piotr, Ashkboos, Saleh, Scheidl, Florian, Carigiet, Armon, Ge, Chio, Abubaker, Nabil, Besta, Maciej, Ben-Nun, Tal, Hoefler, Torsten

“…PPoPP'24: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (2024) 404-416 We propose a novel approach to…”
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High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations by 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, Was, Jaroslaw, Vella, Flavio, Hoefler, Torsten

“…Graph attention models (A-GNNs), a type of Graph Neural Networks (GNNs), have been shown to be more powerful than simpler convolutional GNNs (C-GNNs). However,…”
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High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality by Besta, Maciej, Carigiet, Armon, Janda, Kacper, Vonarburg-Shmaria, Zur, Gianinazzi, Lukas, Hoefler, Torsten

“…We develop the first parallel graph coloring heuristics with strong theoretical guarantees on work and depth and coloring quality. The key idea is to design a…”
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High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality by Besta, Maciej, Carigiet, Armon, Vonarburg-Shmaria, Zur, Janda, Kacper, Gianinazzi, Lukas, Hoefler, Torsten

“…Proceedings of the ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC20), November 2020 We develop the first…”
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