Mohanalingam Kathaperumal

Papers

1

Total Citations

37

H-Index

1

About

Dr. Mohanalingam Kathaperumal is a leading researcher in heterogeneous integration and advanced packaging for artificial intelligence hardware. His work addresses the critical challenge of scaling AI performance beyond traditional semiconductor limits by developing novel integration strategies for diverse chiplet-based systems. His most-cited paper, "Heterogeneous integration for artificial intelligence: Challenges and opportunities" (2019, 37 citations), provides a foundational framework for combining specialized accelerators, memory, and logic into cohesive, high-performance packages. This work has become a key reference for engineers and academics seeking to overcome interconnect bottlenecks and thermal constraints in AI hardware. Dr. Kathaperumal’s contributions are particularly influential in the context of emerging AI workloads, where his insights into system-level co-design and packaging architectures have helped shape industry roadmaps. His research bridges the gap between algorithmic advances in machine learning and the physical realities of chip fabrication, making him a pivotal figure in the next generation of AI computing platforms.

Research Focus

Key Achievements

1
H-Index
1
Papers
37
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Heterogeneous integration for artificial intelligence: Challenges and opportunities
37 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago