Rohan Mahapatra

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Memory Bandwidth

Top Venues

Publications

Shu-Ting Wang, Hanyang Xu, Amin Mamandipoor, Rohan Mahapatra, Byung Hoon Ahn, Soroush Ghodrati, Krishnan Kailas, Mohammad Alian, Hadi Esmaeilzadeh
Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators. HPCA (2024)
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
In-Storage Domain-Specific Acceleration for Serverless Computing. ASPLOS (2) (2024)
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
Tandem Processor: Grappling with Emerging Operators in Neural Networks. ASPLOS (2) (2024)
Dong Kai Wang, Jiaqi Lou, Naiyin Jin, Edwin Mascarenhas, Rohan Mahapatra, Sean Kinzer, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Nam Sung Kim
MESA: Microarchitecture Extensions for Spatial Architecture Generation. ISCA (2023)
Preyesh Dalmia, Rohan Mahapatra, Jeremy Intan, Dan Negrut, Matthew D. Sinclair
Improving the Scalability of GPU Synchronization Primitives. IEEE Trans. Parallel Distributed Syst. 34 (1) (2023)
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
Domain-Specific Computational Storage for Serverless Computing. CoRR (2023)
Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Byung Hoon Ahn, Edwin Mascarenhas, Xiaolong Li, Janarbek Matai, Liang Zhang, Hadi Esmaeilzadeh
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators. CoRR (2023)
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
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. CoRR (2023)
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
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. MLCAD (2022)
Preyesh Dalmia, Rohan Mahapatra, Matthew D. Sinclair
Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers. HPCA (2022)
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
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. IEEE Micro 42 (5) (2022)
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
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis. ICCAD (2021)