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Sen, K and Vadhiyar, S and Vinayachandran, PN (2023) Strategies for Fast I/O Throughput in Large-Scale Climate Modeling Applications. In: 30th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2023, Proceedings - 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics, HiPC 2023, Goa, pp. 203-212.
Panda, A and Vadhiyar, S (2022) Dynamic Strategies for High Performance Training of Knowledge Graph Embeddings. In: 51st International Conference on Parallel Processing, ICPP 2022, 29 August - 1 September 2022, Virtual, Online.
Tiwari, M and Vadhiyar, S (2022) Communication Overlapping Pipelined Conjugate Gradients for Distributed Memory Systems and Heterogeneous Architectures. In: 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, 30 - 31 August 2021, Virtual, Online, pp. 535-539.
Tiwari, M and Vadhiyar, S (2022) Strategies for Efficient Execution of Pipelined Conjugate Gradient Method on GPU Systems. In: 37th International Conference on High Performance Computing , ISC High Performance 2022, 29 May - 2 June 2022, Hamburg, pp. 77-89.
Kumar, A and Balaji, V and Chandrashekar, MA and Dukkipati, A and Vadhiyar, S (2022) Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. In: 36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, 30 May 2022 through 3 June 2022, pp. 186-195.
Tiwari, M and Vadhiyar, S (2021) Pipelined Preconditioned s-step Conjugate Gradient Methods for Distributed Memory Systems. In: 2021 IEEE International Conference on Cluster Computing, Cluster 2021, 7-10 Sep 2021, Portland, OR, USA (Virtual), pp. 215-225.
Renga Bashyam, KG and Vadhiyar, S (2020) Fast Scalable Approximate Nearest Neighbor Search for High-dimensional Data. In: 22nd IEEE International Conference on Cluster Computing, CLUSTER 2020, 14-17 September 2020, Kobe; Japan, pp. 294-302.
Tiwari, M and Vadhiyar, S (2020) Pipelined Preconditioned Conjugate Gradient Methods for Distributed Memory Systems. In: 27th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2020, 16-18 Dec 2020, Pune; India, pp. 151-160.
Bhowmik, A and Vadhiyar, S (2019) HyDetect: A Hybrid CPU-GPU Algorithm for Community Detection. In: 26th Annual IEEE International Conference on High Performance Computing, HiPC 2019, 17-19, December 2019, Hyderabad, pp. 2-11.
Gupta, U and Vadhiyar, S (2019) Fast and Accurate Learning of Knowledge Graph Embeddings at Scale. In: 26th Annual IEEE International Conference on High Performance Computing, HiPC 2019, 17-20. December 2019, Hyderabad, pp. 173-182.
Panja, R and Vadhiyar, S (2018) MND-MST: A multi-node multi-device parallel Boruvka’s MST algorithm. In: 47th International Conference on Parallel Processing, ICPP 2018, 14 - 16 August 2018, Eugene.
Bhowmick, A and Vadhiyar, S and Varun, P V (2022) Scalable multi-node multi-GPU Louvain community detection algorithm for heterogeneous architectures. In: Concurrency and Computation: Practice and Experience .
Tiwari, M and Vadhiyar, S (2022) Pipelined Preconditioned Conjugate Gradient Methods for real and complex linear systems for distributed memory architectures. In: Journal of Parallel and Distributed Computing, 163 . pp. 147-155.
