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Divya Mahajan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

18

Venues

8

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

18 indexed papers, newest first.

YearVenueTitleAuthors
2026HPCAVectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG.Junkyum Kim, Divya Mahajan
2025ASPLOSForecasting GPU Performance for Deep Learning Training and Inference.Seonho Lee, Amar Phanishayee, Divya Mahajan
2025DATESlipstream: Semantic-Based Training Acceleration for Recommendation Models.Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair
2025ISPASSCharacterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications.Seonho Lee, Jihwan Oh, Seokjin Go, Divya Mahajan
2025MICROCharacterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective.Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025MICROPimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving.Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park
2024ASPLOSNeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing.Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park
2024ICMLIntegrated Hardware Architecture and Device Placement Search.Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2024ISCAHeterogeneous Acceleration Pipeline for Recommendation System Training.Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2021HPCAA Computational Stack for Cross-Domain Acceleration.Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh
2018ISCARoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics.Jacob Sacks, Divya Mahajan, Richard Connor Lawson, Hadi Esmaeilzadeh
2017MICROScale-out acceleration for machine learning.Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh
2016ASPLOSAxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing.Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh
2016HPCATABLA: A unified template-based framework for accelerating statistical machine learning.Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh
2016ISCATowards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration.Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh
2016MICROFrom high-level deep neural models to FPGAs.Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh
2015DATEAxilog: language support for approximate hardware design.Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan
2014ACSSCMemristor based adders.Divya Mahajan, Matheen Musaddiq, Earl E. Swartzlander Jr.