Raghavendra Kanakagiri

According to our database, Raghavendra Kanakagiri authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network.

Raghavendra Kanakagiri, Edgar Solomonik

CoRR, 2023

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.

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

Proceedings of the International Conference for High Performance Computing, 2023

Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids.

Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022

ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations.

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

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels.

Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

Motif Prediction with Graph Neural Networks.

Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.

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

CoRR, 2021

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.

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

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons.

Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Scalable GW software for quasiparticle properties using OpenAtom.

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

Comput. Phys. Commun., 2019