Raghavendra Kanakagiri

Orcid: 0000-0002-5561-2421

According to our database1, Raghavendra Kanakagiri authored at least 22 papers between 2019 and 2024.

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Bibliography

2024
Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments.
CoRR, 2024

Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network.
Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

2023

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.
Proceedings of the International Conference for High Performance Computing, 2023

Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids.
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.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels.
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

Motif Prediction with Graph Neural Networks.
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.
CoRR, 2021

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems.
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.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019



Scalable GW software for quasiparticle properties using OpenAtom.
Comput. Phys. Commun., 2019


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