Sobriety Testing Based on Thermal Infrared Images Using Convolutional Neural Networks. - Aditya K. Kamath; A. Tarun Karthik; Leslie Monis; Manjunath Mulimani; Shashidhar G. Koolagudi (TENCON, 2018)

Storage Class Memory: Principles, Problems, and Possibilities. - Aditya K. Kamath; Leslie Monis; A. Tarun Karthik; Basavaraj Talawar (CoRR, 2019)

ScoRD: A Scoped Race Detector for GPUs. - Aditya K. Kamath; Alvin A. George; Arkaprava Basu (ISCA, 2020)

iGUARD: In-GPU Advanced Race Detection. - Aditya K. Kamath; Arkaprava Basu (SOSP, 2021)

GPM: leveraging persistent memory from a GPU. - Shweta Pandey; Aditya K. Kamath; Arkaprava Basu (ASPLOS, 2022)

Scoped Buffered Persistency Model for GPUs. - Shweta Pandey; Aditya K. Kamath; Arkaprava Basu (ASPLOS (2), 2023)

MaxMem: Colocation and Performance for Big Data Applications on Tiered Main Memory Servers. - Amanda Raybuck; Wei Zhang; Kayvan Mansoorshahi; Aditya K. Kamath; Mattan Erez; Simon Peter 001 (CoRR, 2023)

Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore. - Dai Cheol Jung; Max Ruttenberg; Paul Gao 001; Scott Davidson 004; Daniel Petrisko; Kangli Li; Aditya K. Kamath; Lin Cheng; Shaolin Xie; Peitian Pan; Zhongyuan Zhao 004; Zichao Yue; et al. (ISCA, 2024)

(MC)2: Lazy MemCopy at the Memory Controller. - Aditya K. Kamath; Simon Peter 001 (ISCA, 2024)

Herding LLaMaS: Using LLMs as an OS Module. - Aditya K. Kamath; Sujay Yadalam (CoRR, 2024)

LLeMpower: Understanding Disparities in the Control and Access of Large Language Models. - Vishwas Sathish; Hannah Lin; Aditya K. Kamath; Anish Nyayachavadi (CoRR, 2024)

POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference. - Aditya K. Kamath; Ramya Prabhu; Jayashree Mohan; Simon Peter 001; Ramachandran Ramjee; Ashish Panwar (ASPLOS (2), 2025)