Kaustubh Manohar

According to our database, Kaustubh Manohar authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Accelerating CRONet on AMD Versal AIE-ML Engines.

Kaustubh Manohar Mhatre, Vedant Tewari, Aditya Ray, Farhan Khan, Ridwan Olabiyi, Ashif Iquebal, Aman Arora

CoRR, April, 2026

Accelerating Topology Optimization on AMD Versal AIE-ML Engines.

Kaustubh Manohar Mhatre, Vedant Tewari, Aditya Ray, Farhan Khan, Ridwan Olabiyi, Ashif Iquebal, Aman Arora

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2025

Performance Analysis of GEMM Workloads on the AMD Versal Platform.

Kaustubh Manohar Mhatre, Venkata Guru Prashanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines.

Kaustubh Manohar Mhatre, Endri Taka, Aman Arora

Proceedings of the 35th International Conference on Field-Programmable Logic and Applications, 2025

Performance Analysis of GEMM Workloads on the AMD Versal Platform.

Kaustubh Manohar Mhatre, Venkata Guru Prasanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

2024

PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation.

Siyuan Ma, Kaustubh Manohar Mhatre, Jian Weng, Bagus Hanindhito, Zhengrong Wang, Tony Nowatzki, Lizy K. John, Aman Arora

ACM Trans. Archit. Code Optim., December, 2024

2021

Tufan: Low-Power Throughput Architecture for Acceleration of EfficientNet on Cloud FPGAs.

Mohammadreza Baharani, Ushma Sunil Bharucha, Kaustubh Manohar Mhatre, Hamed Tabkhi

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks.

Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar, Steven Furgurson, Hamed Tabkhi

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021