SMART: a single-cycle reconfigurable NoC for SoC applications. - Chia-Hsin Owen Chen; Sunghyun Park 002; Tushar Krishna; Suvinay Subramanian; Anantha P. Chandrakasan; Li-Shiuan Peh (DATE, 2013)

No silver bullet: extending SDN to the data plane. - Anirudh Sivaraman; Keith Winstein; Suvinay Subramanian; Hari Balakrishnan (HotNets, 2013)

Single-Cycle Multihop Asynchronous Repeated Traversal: A SMART Future for Reconfigurable On-Chip Networks. - Tushar Krishna; Chia-Hsin Owen Chen; Sunghyun Park 002; Woo-Cheol Kwon; Suvinay Subramanian; Anantha P. Chandrakasan; Li-Shiuan Peh (Computer, 2013)

SCORPIO: 36-core shared memory processor demonstrating snoopy coherence on a mesh interconnect. - Chia-Hsin Owen Chen; Sunghyun Park 002; Suvinay Subramanian; Tushar Krishna; Bhavya K. Daya; Woo-Cheol Kwon; Brett Wilkerson; John Arends; Anantha P. Chandrakasan; Li-Shiuan Peh (Hot Chips Symposium, 2014)

SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering. - Bhavya K. Daya; Chia-Hsin Owen Chen; Suvinay Subramanian; Woo-Cheol Kwon; Sunghyun Park 002; Tushar Krishna; Jim Holt; Anantha P. Chandrakasan; Li-Shiuan Peh (ISCA, 2014)

Towards Programmable Packet Scheduling. - Anirudh Sivaraman; Suvinay Subramanian; Anurag Agrawal; Sharad Chole; Shang-Tse Chuang; Tom Edsall; Mohammad Alizadeh; Sachin Katti; Nick McKeown; Hari Balakrishnan (HotNets, 2015)

A scalable architecture for ordered parallelism. - Mark C. Jeffrey; Suvinay Subramanian; Cong Yan; Joel S. Emer; Daniel Sánchez 003 (MICRO, 2015)

Data-centric execution of speculative parallel programs. - Mark C. Jeffrey; Suvinay Subramanian; Maleen Abeydeera; Joel S. Emer; Daniel Sánchez 003 (MICRO, 2016)

Programmable Packet Scheduling at Line Rate. - Anirudh Sivaraman; Suvinay Subramanian; Mohammad Alizadeh; Sharad Chole; Shang-Tse Chuang; Anurag Agrawal; Hari Balakrishnan; Tom Edsall; Sachin Katti; Nick McKeown (SIGCOMM, 2016)

Programmable Packet Scheduling. - Anirudh Sivaraman; Suvinay Subramanian; Anurag Agrawal; Sharad Chole; Shang-Tse Chuang; Tom Edsall; Mohammad Alizadeh; Sachin Katti; Nick McKeown; Hari Balakrishnan (CoRR, 2016)

Unlocking Ordered Parallelism with the Swarm Architecture. - Mark C. Jeffrey; Suvinay Subramanian; Cong Yan; Joel S. Emer; Daniel Sánchez 003 (IEEE Micro, 2016)

SAM: Optimizing Multithreaded Cores for Speculative Parallelism. - Maleen Abeydeera; Suvinay Subramanian; Mark C. Jeffrey; Joel S. Emer; Daniel Sánchez 003 (PACT, 2017)

Fractal: An Execution Model for Fine-Grain Nested Speculative Parallelism. - Suvinay Subramanian; Mark C. Jeffrey; Maleen Abeydeera; Hyun Ryong Lee; Victor A. Ying; Joel S. Emer; Daniel Sánchez 003 (ISCA, 2017)

Harmonizing Speculative and Non-Speculative Execution in Architectures for Ordered Parallelism. - Mark C. Jeffrey; Victor A. Ying; Suvinay Subramanian; Hyun Ryong Lee; Joel S. Emer; Daniel Sánchez 003 (MICRO, 2018)

Architectural techniques to unlock ordered and nested speculative parallelism. - Suvinay Subramanian (2018)

ATTACC the Quadratic Bottleneck of Attention Layers. - Sheng-Chun Kao; Suvinay Subramanian; Gaurav Agrawal; Tushar Krishna (CoRR, 2021)

Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask. - Sheng-Chun Kao; Amir Yazdanbakhsh; Suvinay Subramanian; Shivani Agrawal; Utku Evci; Tushar Krishna (CoRR, 2022)

FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. - Sheng-Chun Kao; Suvinay Subramanian; Gaurav Agrawal; Amir Yazdanbakhsh; Tushar Krishna (ASPLOS (2), 2023)

STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. - Yucheng Lu; Shivani Agrawal; Suvinay Subramanian; Oleg Rybakov; Christopher De Sa; Amir Yazdanbakhsh (ICML, 2023)

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. - Norman P. Jouppi; George Kurian; Sheng Li 007; Peter C. Ma; Rahul Nagarajan; Lifeng Nai; Nishant Patil; Suvinay Subramanian; Andy Swing; Brian Towles; Cliff Young; Xiang Zhou; et al. (ISCA, 2023)

Jaxpruner: A Concise Library for Sparsity Research. - 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; et al. (CPAL, 2024)

Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers. - Abhimanyu Rajeshkumar Bambhaniya; Amir Yazdanbakhsh; Suvinay Subramanian; Sheng-Chun Kao; Shivani Agrawal; Utku Evci; Tushar Krishna (CoRR, 2024)

Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers. - Abhimanyu Rajeshkumar Bambhaniya; Amir Yazdanbakhsh; Suvinay Subramanian; Sheng-Chun Kao; Shivani Agrawal; Utku Evci; Tushar Krishna (CPAL, 2025)

Effective Interplay between Sparsity and Quantization: From Theory to Practice. - Simla Burcu Harma; Ayan Chakraborty 005; Elizaveta Kostenok; Danila Mishin; Dongho Ha; Babak Falsafi; Martin Jaggi; Ming Liu; Yunho Oh; Suvinay Subramanian; Amir Yazdanbakhsh (ICLR, 2025)

The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws. - Tian Jin; Ahmed Imtiaz Humayun; Utku Evci; Suvinay Subramanian; Amir Yazdanbakhsh; Dan Alistarh; Gintare Karolina Dziugaite (ICLR, 2025)

RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving. - Wenqi Jiang 001; Suvinay Subramanian; Cat Graves; Gustavo Alonso; Amir Yazdanbakhsh; Vidushi Dadu (ISCA, 2025)

Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding. - Tian Jin; Ellie Y. Cheng; Zachary Ankner; Nikunj Saunshi; Blake M. Elias; Amir Yazdanbakhsh; Jonathan Ragan-Kelley; Suvinay Subramanian; Michael Carbin (CoRR, 2025)

Understanding and Optimizing Multi-Stage AI Inference Pipelines. - Abhimanyu Rajeshkumar Bambhaniya; Hanjiang Wu; Suvinay Subramanian; Sudarshan Srinivasan; Souvik Kundu 009; Amir Yazdanbakhsh; Midhilesh Elavazhagan; Madhu Kumar; Tushar Krishna (CoRR, 2025)

Spark Transformer: Reactivating Sparsity in FFN and Attention. - 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; et al. (CoRR, 2025)