Srikant Bharadwaj

14 papers A* 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.
MLSys
Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan
2025 J jnl
Taming the Tail: NoI Topology Synthesis for Mixed DL Workloads on Chiplet-Based Accelerators.
CoRR
Arnav Shukla, Harsh Sharma, Srikant Bharadwaj, Vinayak Abrol, Sujay Deb
2025 — conf
TurboAttention: Efficient attention approximation for high throughputs llm.
MLSys
Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan
2024 J jnl
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.
CoRR
Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan
2024 J jnl
TurboAttention: Efficient Attention Approximation For High Throughputs LLMs.
CoRR
Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan
2023 — conf
Predict; Don't React for Enabling Efficient Fine-Grain DVFS in GPUs.
ASPLOS (4)
Srikant Bharadwaj, Shomit Das, Kaushik Mazumdar, Bradford M. Beckmann, Stephen Kosonocky
2022 J jnl
Predict; Do not React for Enabling Efficient Fine Grain DVFS in GPUs.
CoRR
Srikant Bharadwaj, Shomit Das, Kaushik Mazumdar, Bradford M. Beckmann, Stephen Kosonocky
2021 J jnl
Accelerating Variational Quantum Algorithms Using Circuit Concurrency.
CoRR
Salonik Resch, Anthony Gutierrez, Joon Suk Huh, Srikant Bharadwaj, Yasuko Eckert, Gabriel H. Loh, Mark Oskin, Swamit S. Tannu
2021 — conf
DUB: dynamic underclocking and bypassing in nocs for heterogeneous GPU workloads.
NOCS
Srikant Bharadwaj, Shomit Das, Yasuko Eckert, Mark Oskin, Tushar Krishna
2020 A* conf
Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling.
DAC
Srikant Bharadwaj, Jieming Yin, Bradford M. Beckmann, Tushar Krishna
2020 J jnl
The gem5 Simulator: Version 20.0+.
CoRR
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian
2019 — conf
Optimizing GPU Cache Policies for MI Workloads.
IISWC
Johnathan Alsop, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Brandon Potter, Sooraj Puthoor
2019 J jnl
Optimizing GPU Cache Policies for MI Workloads.
CoRR
Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann
2018 A* conf
Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects.
MICRO
Srikant Bharadwaj, Guilherme Cox, Tushar Krishna, Abhishek Bhattacharjee