Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects. - Srikant Bharadwaj; Guilherme Cox; Tushar Krishna; Abhishek Bhattacharjee (MICRO, 2018)

Optimizing GPU Cache Policies for MI Workloads. - Johnathan Alsop; Xianwei Zhang 001; Tsung Tai Yeh; Bradford M. Beckmann; Matthew D. Sinclair; Srikant Bharadwaj; Alexandru Dutu; Anthony Gutierrez; Onur Kayiran; Michael LeBeane; Brandon Potter; Sooraj Puthoor (IISWC, 2019)

Optimizing GPU Cache Policies for MI Workloads. - Johnathan Alsop; Matthew D. Sinclair; Srikant Bharadwaj; Alexandru Dutu; Anthony Gutierrez; Onur Kayiran; Michael LeBeane; Sooraj Puthoor; Xianwei Zhang 001; Tsung Tai Yeh; Bradford M. Beckmann (CoRR, 2019)

Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling. - Srikant Bharadwaj; Jieming Yin; Bradford M. Beckmann; Tushar Krishna (DAC, 2020)

The gem5 Simulator: Version 20.0+. - 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; et al. (CoRR, 2020)

DUB: dynamic underclocking and bypassing in nocs for heterogeneous GPU workloads. - Srikant Bharadwaj; Shomit Das; Yasuko Eckert; Mark Oskin; Tushar Krishna (NOCS, 2021)

Accelerating Variational Quantum Algorithms Using Circuit Concurrency. - Salonik Resch; Anthony Gutierrez; Joon Suk Huh; Srikant Bharadwaj; Yasuko Eckert; Gabriel H. Loh; Mark Oskin; Swamit S. Tannu (CoRR, 2021)

Predict; Do not React for Enabling Efficient Fine Grain DVFS in GPUs. - Srikant Bharadwaj; Shomit Das; Kaushik Mazumdar; Bradford M. Beckmann; Stephen Kosonocky (CoRR, 2022)

Predict; Don't React for Enabling Efficient Fine-Grain DVFS in GPUs. - Srikant Bharadwaj; Shomit Das; Kaushik Mazumdar; Bradford M. Beckmann; Stephen Kosonocky (ASPLOS (4), 2023)

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers. - Rya Sanovar; Srikant Bharadwaj; Renée St. Amant; Victor Rühle; Saravan Rajmohan (CoRR, 2024)

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs. - Hao Kang; Srikant Bharadwaj; James Hensman; Tushar Krishna; Victor Rühle; Saravan Rajmohan (CoRR, 2024)