Rohan Mahapatra

15 papers A* 4A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Compiler Optimization via LLM Reasoning for Efficient Model Serving.
CoRR
Annabelle Sujun Tang, Christopher Priebe, Rohan Mahapatra, Lianhui Qin, Hadi Esmaeilzadeh
2025 A* conf
In-Storage Acceleration of Retrieval Augmented Generation as a Service.
ISCA
Rohan Mahapatra, Harsha Santhanam, Christopher Priebe, Hanyang Xu, Hadi Esmaeilzadeh
2024 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2024 A* conf
Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators.
HPCA
Shu-Ting Wang, Hanyang Xu, Amin Mamandipoor, Rohan Mahapatra, Byung Hoon Ahn, Soroush Ghodrati, Krishnan Kailas, Mohammad Alian, Hadi Esmaeilzadeh
2024 — conf
In-Storage Domain-Specific Acceleration for Serverless Computing.
ASPLOS (2)
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
2024 — conf
Tandem Processor: Grappling with Emerging Operators in Neural Networks.
ASPLOS (2)
Soroush Ghodrati, Sean Kinzer, Hanyang Xu, Rohan Mahapatra, Yoonsung Kim, Byung Hoon Ahn, Dong Kai Wang, Lavanya Karthikeyan, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Hadi Esmaeilzadeh
2023 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
CoRR
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2023 J jnl
Domain-Specific Computational Storage for Serverless Computing.
CoRR
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
2023 J jnl
Improving the Scalability of GPU Synchronization Primitives.
IEEE Trans. Parallel Distributed Syst.
Preyesh Dalmia, Rohan Mahapatra, Jeremy Intan, Dan Negrut, Matthew D. Sinclair
2023 A* conf
MESA: Microarchitecture Extensions for Spatial Architecture Generation.
ISCA
Dong Kai Wang, Jiaqi Lou, Naiyin Jin, Edwin Mascarenhas, Rohan Mahapatra, Sean Kinzer, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Nam Sung Kim
2023 J jnl
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators.
CoRR
Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Byung Hoon Ahn, Edwin Mascarenhas, Xiaolong Li, Janarbek Matai, Liang Zhang, Hadi Esmaeilzadeh
2022 A* conf
Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers.
HPCA
Preyesh Dalmia, Rohan Mahapatra, Matthew D. Sinclair
2022 — conf
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
MLCAD
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2022 J jnl
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.
IEEE Micro
Joon Kyung Kim, Byung Hoon Ahn, Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Brahmendra Reddy Yatham, Shu-Ting Wang, Dohee Kim, Parisa Sarikhani, Babak Mahmoudi, Divya Mahajan, Jongse Park, Hadi Esmaeilzadeh
2021 A conf
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.
ICCAD
Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng