Raghavendra Kanakagiri

27 papers A* 2A 4B 2Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing.
SIGMETRICS (Abstracts)
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari
2025 J jnl
ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing.
CoRR
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari
2025 J jnl
ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing.
Proc. ACM Meas. Anal. Comput. Syst.
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari
2025 — conf
Parallel Breadth-First Search Optimization Strategies.
FCPC@PPOPP
Marati Bhaskar, Raghavendra Kanakagiri
2025 J jnl
Performance-Driven Optimization of Parallel Breadth-First Search.
CoRR
Marati Bhaskar, Raghavendra Kanakagiri
2025 A conf
ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems.
SC
Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari
2025 J jnl
ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems.
CoRR
Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari
2025 B conf
WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing.
PPoPP
Yankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri, Devesh Tiwari
2025 J jnl
WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing.
CoRR
Yankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri, Devesh Tiwari
2024 J jnl
Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments.
CoRR
Maciej Besta, Robert Gerstenberger, Patrick Iff, Pournima Sonawane, Juan Gómez-Luna, Raghavendra Kanakagiri, Rui Min, Onur Mutlu, Torsten Hoefler, Raja Appuswamy, Aidan O'Mahony
2024 B conf
Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network.
SPAA
Raghavendra Kanakagiri, Edgar Solomonik
2024 — conf
The Hidden Carbon Footprint of Serverless Computing.
SoCC
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari
2023 A conf
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.
SC
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
2023 J jnl
Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network.
CoRR
Raghavendra Kanakagiri, Edgar Solomonik
2023 — conf
Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids.
Euro-Par
Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis
2023 J jnl
Optimizing Distributed Tensor Contractions using Node-Aware Processor Grids.
CoRR
Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis
2022 A* conf
Motif Prediction with Graph Neural Networks.
KDD
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2022 — conf
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels.
PP
Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik
2022 A conf
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations.
SC
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
2022 J jnl
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations.
CoRR
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
2021 J jnl
Motif Prediction with Graph Neural Networks.
CoRR
Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2021 J jnl
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels.
CoRR
Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik
2021 A* conf
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.
MICRO
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
2021 J jnl
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.
CoRR
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
2020 A conf
Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons.
IPDPS
Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik
2019 J jnl
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons.
CoRR
Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik
2019 J jnl
Scalable GW software for quasiparticle properties using OpenAtom.
Comput. Phys. Commun.
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