Scholar
Kaustubh Shivdikar
Google Scholar ID: NCTXsGMAAAAJ
AMD - Hardware Architect
High Performance Computing
Computer Architecture
Graph Neural Networks
Hardware Accelerators
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Citations & Impact
All-time
Citations
248
H-index
7
i10-index
5
Publications
20
Co-authors
32
list available
Contact
No contact links provided.
Publications
2 items
Characterizing the Behavior of Training Mamba-based State Space Models on GPUs
2025
Cited
0
FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs
2025
Cited
0
Resume (English only)
Academic Achievements
Published 26 papers with 255 citations. Some of the research works include:
- Characterizing the Behavior of Training Mamba-based State Space Models on GPUs
- FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs
- PIMnet: A Domain-Specific Network for Efficient Collective Communication in Scalable PIM
- Scalability Limitations of Processing-in-Memory using Real System Evaluations
- MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
- NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator
Research Experience
Currently a Sr. Silicon Design Engineer at AMD, working on designing Graph Neural Networks.
Education
Degree: Ph.D.; University: Not specified; Advisor: David Kaeli (Lab Name).
Background
Research Interests: Graph Neural Networks, hardware accelerators, DNN Security, Sparse Matrices, GPU Computing, Computer Architecture. Professional Field: Designing a spatial accelerator for graph workloads.
Miscellany
Currently working in the Hardware Research department at AMD as a Sr. Silicon Design Engineer.
Co-authors
32 total
David R. Kaeli
Distinguished Professor of ECE, Northeastern University
Ajay Joshi
Professor, ECE Department, Boston University
José L. Abellán
Ramón y Cajal Fellow, University of Murcia
John Kim
Professor, School of Electrical Engineering KAIST
Co-author 5
Rashmi Agrawal
Boston University
Hongwu Peng
Researcher @ Adobe Research. Ph.D. from University of Connecticut
Caiwen Ding
Associate Professor, University of Minnesota - Twin Cities
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