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Kaustubh Shivdikar

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

6

Active years

2021–2025

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2025HPCAPIMnet: A Domain-Specific Network for Efficient Collective Communication in Scalable PIM.Hyojun Son, Gilbert Jonatan, Xiangyu Wu, Haeyoon Cho, Kaustubh Shivdikar, Jos L. Abelln, Ajay Joshi, David R. Kaeli, John Kim
2025ISPASSFIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs.Carlos Agull-Domingo, scar Vera-Lpez, Seyda Nur Gzelhan, Lohit Daksha, Aymane El Jerari, Kaustubh Shivdikar, Rashmi S. Agrawal, David R. Kaeli, Ajay Joshi, Jos L. Abelln
2024ASPLOSMaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training.Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
2024ISCANeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator.Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, Jos L. Abelln, Ajay Joshi, John Kim, David R. Kaeli
2024SIGMETRICSScalability Limitations of Processing-in-Memory using Real System Evaluations.Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, Jos L. Abelln, Ajay Joshi, David R. Kaeli, John Kim
2023MICROGME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption.Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, Jos L. Abelln, John Kim, Ajay Joshi, David R. Kaeli
2021ISPASSGNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs.Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, Jos L. Abelln, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli