Raghavendra Kanakagiri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

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Top Venues

Publications

Raghavendra Kanakagiri, Edgar Solomonik
Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network. SPAA (2024)
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)
Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis
Optimizing Distributed Tensor Contractions using Node-Aware Processor Grids. CoRR (2023)
Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis
Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids. Euro-Par (2023)
Raghavendra Kanakagiri, Edgar Solomonik
Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network. CoRR (2023)
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)
Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels. PPSC (2022)
Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. CoRR (2022)
Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. SC (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)
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)
Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels. 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, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik
Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. IPDPS (2020)
Minjung Kim, Subhasish Mandal, Eric Mikida, Kavitha Chandrasekar, Eric J. Bohm, Nikhil Jain, Qi Li, Raghavendra Kanakagiri, Glenn J. Martyna, Laxmikant V. Kalé, Sohrab Ismail-Beigi
Scalable GW software for quasiparticle properties using OpenAtom. Comput. Phys. Commun. 244 (2019)
Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons. CoRR (2019)