Aditya K. Kamath

According to our database, Aditya K. Kamath authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reducing the GPU Memory Bottleneck with Lossless Compression for ML - Extended.

Aditya K. Kamath, Arvind Krishnamurthy, Marco Canini, Simon Peter

CoRR, May, 2026

LLM-42: Enabling Determinism in LLM Inference with Verified Speculation.

Raja Gond, Aditya K. Kamath, Ramachandran Ramjee, Ashish Panwar

CoRR, January, 2026

Reducing the GPU Memory Bottleneck with Lossless Compression for ML.

Aditya K. Kamath, Arvind Krishnamurthy, Marco Canini, Simon Peter

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference.

Aditya K. Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

LLeMpower: Understanding Disparities in the Control and Access of Large Language Models.

Vishwas Sathish, Hannah Lin, Aditya K. Kamath, Anish Nyayachavadi

CoRR, 2024

Herding LLaMaS: Using LLMs as an OS Module.

Aditya K. Kamath, Sujay Yadalam

CoRR, 2024

(MC)²: Lazy MemCopy at the Memory Controller.

Aditya K. Kamath, Simon Peter

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore.

Dai Cheol Jung, Max Ruttenberg, Paul Gao, Scott Davidson, Daniel Petrisko, Kangli Li, Aditya K. Kamath, Lin Cheng, Shaolin Xie, Peitian Pan, Zhongyuan Zhao, Zichao Yue, Bandhav Veluri, Sripathi Muralitharan, Adrian Sampson, Andrew Lumsdaine, Zhiru Zhang, Christopher Batten, Mark Oskin, Dustin Richmond, Michael Bedford Taylor

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

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

CoRR, 2023

Scoped Buffered Persistency Model for GPUs.

Shweta Pandey, Aditya K. Kamath, Arkaprava Basu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

GPM: leveraging persistent memory from a GPU.

Shweta Pandey, Aditya K. Kamath, Arkaprava Basu

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

iGUARD: In-GPU Advanced Race Detection.

Aditya K. Kamath, Arkaprava Basu

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

2020

ScoRD: A Scoped Race Detector for GPUs.

Aditya K. Kamath, Alvin A. George, Arkaprava Basu

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

Storage Class Memory: Principles, Problems, and Possibilities.

Aditya K. Kamath, Leslie Monis, A. Tarun Karthik, Basavaraj Talawar

CoRR, 2019

2018

Sobriety Testing Based on Thermal Infrared Images Using Convolutional Neural Networks.

Aditya K. Kamath, A. Tarun Karthik, Leslie Monis, Manjunath Mulimani, Shashidhar G. Koolagudi

Proceedings of the TENCON 2018, 2018