Kaustubh Shivdikar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Top Venues

SIGMETRICS/Performance (Abstracts)

Publications

Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) (2024)
Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR (2024)
Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA (2024)
Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proc. ACM Meas. Anal. Comput. Syst. 8 (1) (2024)
Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
Scalability Limitations of Processing-in-Memory using Real System Evaluations. SIGMETRICS/Performance (Abstracts) (2024)
Kaustubh Shivdikar
Enabling Accelerators for Graph Computing. CoRR (2023)
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
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO (2023)
Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro 43 (5) (2023)
Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David Kaeli, Caiwen Ding
MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training. CoRR (2023)
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
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR (2023)
Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED (2022)
Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR (2022)
Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli
JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. SEED (2021)
Kaustubh Shivdikar
SMASH: Sparse Matrix Atomic Scratchpad Hashing. CoRR (2021)
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
GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS (2021)
Christopher C. Bunn, Harrison Barclay, A. Lazarev, F. Yusuf, J. Fitch, J. Booth, Kaustubh Shivdikar, David R. Kaeli
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. 90 (2019)