Kaustubh Shivdikar

22 papers A* 3B 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption. CoRR Lohit Daksha, Seyda Nur Güzelhan, Kaustubh Shivdikar, Carlos Agulló-Domingo, Óscar Vera-López, Gilbert Jonatan, Hubert Dymarkowski, Aymane El Jerari, José Cano, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi
2026	—	`conf`	GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs. EuroMLSys@EuroSys Lara D'Agata, Carlos Agulló-Domingo, Óscar Vera-López, Kaustubh Shivdikar, Ardhi W. B. Yudha, Ferhat Yaman, David R. Kaeli, José L. Abellán, Ian Colbert, José Cano
2025	J	`jnl`	Characterizing the Behavior of Training Mamba-based State Space Models on GPUs. CoRR Trinayan Baruah, Kaustubh Shivdikar, Sara Prescott, David R. Kaeli
2025	B	`conf`	FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs. ISPASS Carlos Agulló-Domingo, Óscar Vera-López, Seyda Nur Güzelhan, Lohit Daksha, Aymane El Jerari, Kaustubh Shivdikar, Rashmi S. Agrawal, David R. Kaeli, Ajay Joshi, José L. Abellán
2025	J	`jnl`	FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs. CoRR Carlos Agulló-Domingo, Óscar Vera-López, Seyda Nur Güzelhan, Lohit Daksha, Aymane El Jerari, Kaustubh Shivdikar, Rashmi S. Agrawal, David R. Kaeli, Ajay Joshi, José L. Abellán
2025	A*	`conf`	PIMnet: A Domain-Specific Network for Efficient Collective Communication in Scalable PIM. HPCA Hyojun Son, Gilbert Jonatan, Xiangyu Wu, Haeyoon Cho, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
2024	—	`conf`	MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
2024	A*	`conf`	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
2024	J	`jnl`	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
2024	—	`conf`	Scalability Limitations of Processing-in-Memory using Real System Evaluations. SIGMETRICS/Performance (Abstracts) Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
2024	J	`jnl`	Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proc. ACM Meas. Anal. Comput. Syst. Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
2023	J	`jnl`	Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
2023	J	`jnl`	Enabling Accelerators for Graph Computing. CoRR Kaustubh Shivdikar
2023	A*	`conf`	GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
2023	J	`jnl`	GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
2023	J	`jnl`	MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training. CoRR Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
2022	—	`conf`	Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
2022	J	`jnl`	Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
2021	B	`conf`	GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, José L. Abellán, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli
2021	—	`conf`	JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. SEED Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli
2021	J	`jnl`	SMASH: Sparse Matrix Atomic Scratchpad Hashing. CoRR Kaustubh Shivdikar
2019	J	`jnl`	Student cluster competition 2018, team northeastern university: Reproducing performance of a multi-physics simulations of the Tsunamigenic 2004 Sumatra Megathrust earthquake on the AMD EPYC 7551 architecture. Parallel Comput. Christopher C. Bunn, Harrison Barclay, A. Lazarev, F. Yusuf, J. Fitch, J. Booth, Kaustubh Shivdikar, David R. Kaeli