Suvinay Subramanian

39 papers A* 12A 1B 1Misc 2Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing VLA Models: Identifying the Action Generation Bottleneck for Edge AI Architectures.
CoRR
Manoj Vishwanathan, Suvinay Subramanian, Anand Raghunathan
2025 A* conf
Effective Interplay between Sparsity and Quantization: From Theory to Practice.
ICLR
Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh
2025 J jnl
FG-Attn: Leveraging Fine-Grained Sparsity In Diffusion Transformers.
CoRR
Sankeerth Durvasula, Kavya Sreedhar, Zain Moustafa, Suraj Kothawade, Ashish Gondimalla, Suvinay Subramanian, Narges Shahidi, Nandita Vijaykumar
2025 A* conf
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.
ICML
Tian Jin, Ellie Y. Cheng, Zachary Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin
2025 J jnl
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.
CoRR
Tian Jin, Ellie Y. Cheng, Zachary Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin
2025 J jnl
Planned Diffusion.
CoRR
Daniel Israel, Tian Jin, Ellie Y. Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin
2025 — conf
Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers.
CPAL
Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2025 A* conf
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving.
ISCA
Wenqi Jiang, Suvinay Subramanian, Cat Graves, Gustavo Alonso, Amir Yazdanbakhsh, Vidushi Dadu
2025 J jnl
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving.
CoRR
Wenqi Jiang, Suvinay Subramanian, Cat Graves, Gustavo Alonso, Amir Yazdanbakhsh, Vidushi Dadu
2025 J jnl
Spark Transformer: Reactivating Sparsity in FFN and Attention.
CoRR
Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah J. Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix X. Yu, Prateek Jain, David E. Culler, Henry M. Levy, Sanjiv Kumar
2025 A* conf
The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws.
ICLR
Tian Jin, Ahmed Imtiaz Humayun, Utku Evci, Suvinay Subramanian, Amir Yazdanbakhsh, Dan Alistarh, Gintare Karolina Dziugaite
2025 J jnl
The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws.
CoRR
Tian Jin, Ahmed Imtiaz Humayun, Utku Evci, Suvinay Subramanian, Amir Yazdanbakhsh, Dan Alistarh, Gintare Karolina Dziugaite
2025 J jnl
Understanding and Optimizing Multi-Stage AI Inference Pipelines.
CoRR
Abhimanyu Rajeshkumar Bambhaniya, Hanjiang Wu, Suvinay Subramanian, Sudarshan Srinivasan, Souvik Kundu, Amir Yazdanbakhsh, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna
2024 J jnl
Effective Interplay between Sparsity and Quantization: From Theory to Practice.
CoRR
Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh
2024 — conf
Jaxpruner: A Concise Library for Sparsity Research.
CPAL
Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J. C. Bik, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
2024 J jnl
Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers.
CoRR
Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2023 — conf
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks.
ASPLOS (2)
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna
2023 J jnl
JaxPruner: A concise library for sparsity research.
CoRR
Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J. C. Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
2023 A* conf
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition.
ICML
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
2023 J jnl
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition.
CoRR
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
2023 A* conf
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.
ISCA
Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson
2023 J jnl
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.
CoRR
Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson
2022 J jnl
Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask.
CoRR
Sheng-Chun Kao, Amir Yazdanbakhsh, Suvinay Subramanian, Shivani Agrawal, Utku Evci, Tushar Krishna
2021 J jnl
ATTACC the Quadratic Bottleneck of Attention Layers.
CoRR
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
2018 — —
Architectural techniques to unlock ordered and nested speculative parallelism.
Suvinay Subramanian
2018 A* conf
Harmonizing Speculative and Non-Speculative Execution in Architectures for Ordered Parallelism.
MICRO
Mark C. Jeffrey, Victor A. Ying, Suvinay Subramanian, Hyun Ryong Lee, Joel S. Emer, Daniel Sánchez
2017 A* conf
Fractal: An Execution Model for Fine-Grain Nested Speculative Parallelism.
ISCA
Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel S. Emer, Daniel Sánchez
2017 B conf
SAM: Optimizing Multithreaded Cores for Speculative Parallelism.
PACT
Maleen Abeydeera, Suvinay Subramanian, Mark C. Jeffrey, Joel S. Emer, Daniel Sánchez
2016 A* conf
Data-centric execution of speculative parallel programs.
MICRO
Mark C. Jeffrey, Suvinay Subramanian, Maleen Abeydeera, Joel S. Emer, Daniel Sánchez
2016 A* conf
Programmable Packet Scheduling at Line Rate.
SIGCOMM
Anirudh Sivaraman, Suvinay Subramanian, Mohammad Alizadeh, Sharad Chole, Shang-Tse Chuang, Anurag Agrawal, Hari Balakrishnan, Tom Edsall, Sachin Katti, Nick McKeown
2016 J jnl
Programmable Packet Scheduling.
CoRR
Anirudh Sivaraman, Suvinay Subramanian, Anurag Agrawal, Sharad Chole, Shang-Tse Chuang, Tom Edsall, Mohammad Alizadeh, Sachin Katti, Nick McKeown, Hari Balakrishnan
2016 J jnl
Unlocking Ordered Parallelism with the Swarm Architecture.
IEEE Micro
Mark C. Jeffrey, Suvinay Subramanian, Cong Yan, Joel S. Emer, Daniel Sánchez
2015 A* conf
A scalable architecture for ordered parallelism.
MICRO
Mark C. Jeffrey, Suvinay Subramanian, Cong Yan, Joel S. Emer, Daniel Sánchez
2015 Misc conf
Towards Programmable Packet Scheduling.
HotNets
Anirudh Sivaraman, Suvinay Subramanian, Anurag Agrawal, Sharad Chole, Shang-Tse Chuang, Tom Edsall, Mohammad Alizadeh, Sachin Katti, Nick McKeown, Hari Balakrishnan
2014 — conf
SCORPIO: 36-core shared memory processor demonstrating snoopy coherence on a mesh interconnect.
Hot Chips Symposium
Chia-Hsin Owen Chen, Sunghyun Park, Suvinay Subramanian, Tushar Krishna, Bhavya K. Daya, Woo-Cheol Kwon, Brett Wilkerson, John Arends, Anantha P. Chandrakasan, Li-Shiuan Peh
2014 A* conf
SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering.
ISCA
Bhavya K. Daya, Chia-Hsin Owen Chen, Suvinay Subramanian, Woo-Cheol Kwon, Sunghyun Park, Tushar Krishna, Jim Holt, Anantha P. Chandrakasan, Li-Shiuan Peh
2013 Misc conf
No silver bullet: extending SDN to the data plane.
HotNets
Anirudh Sivaraman, Keith Winstein, Suvinay Subramanian, Hari Balakrishnan
2013 A conf
SMART: a single-cycle reconfigurable NoC for SoC applications.
DATE
Chia-Hsin Owen Chen, Sunghyun Park, Tushar Krishna, Suvinay Subramanian, Anantha P. Chandrakasan, Li-Shiuan Peh
2013 J jnl
Single-Cycle Multihop Asynchronous Repeated Traversal: A SMART Future for Reconfigurable On-Chip Networks.
Computer
Tushar Krishna, Chia-Hsin Owen Chen, Sunghyun Park, Woo-Cheol Kwon, Suvinay Subramanian, Anantha P. Chandrakasan, Li-Shiuan Peh