Divya Mahajan

According to our database, Divya Mahajan authored at least 24 papers between 2014 and 2024.

Collaborative distances:

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

2024

Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training.

Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park

CoRR, 2024

NeuPIMs: 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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

CoRR, 2023

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout.

Irene Wang, Prashant J. Nair, Divya Mahajan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.

Joon Kyung Kim, Byung Hoon Ahn, Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Brahmendra Reddy Yatham, Shu-Ting Wang, Dohee Kim, Parisa Sarikhani, Babak Mahmoudi, Divya Mahajan, Jongse Park, Hadi Esmaeilzadeh

IEEE Micro, 2022

Heterogeneous Acceleration Pipeline for Recommendation System Training.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

CoRR, 2022

2021

Accelerating Recommendation System Training by Leveraging Popular Choices.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

Proc. VLDB Endow., 2021

High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems.

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair

CoRR, 2021

A Computational Stack for Cross-Domain Acceleration.

Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Efficient Algorithms for Device Placement of DNN Graph Operators.

Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Balancing Generality and Specialization for Machine Learning in the Post-ISA Era.

Divya Mahajan

PhD thesis, 2019

Improving the energy efficiency of relational and NoSQL databases via query optimizations.

Divya Mahajan, Cody Blakeney, Ziliang Zong

Sustain. Comput. Informatics Syst., 2019

2018

In-RDBMS Hardware Acceleration of Advanced Analytics.

Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh

Proc. VLDB Endow., 2018

RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics.

Jacob Sacks, Divya Mahajan, Richard Connor Lawson, Hadi Esmaeilzadeh

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2017

AxBench: A Multiplatform Benchmark Suite for Approximate Computing.

Amir Yazdanbakhsh, Divya Mahajan, Hadi Esmaeilzadeh, Pejman Lotfi-Kamran

IEEE Des. Test, 2017

Scale-out acceleration for machine learning.

Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Energy efficiency analysis of query optimizations on MongoDB and Cassandra.

Divya Mahajan, Ziliang Zong

Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017

2016

From high-level deep neural models to FPGAs.

Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration.

Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

TABLA: 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

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing.

Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015

Axilog: Abstractions for Approximate Hardware Design and Reuse.

Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan

IEEE Micro, 2015

Axilog: 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

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

Memristor based adders.

Divya Mahajan, Matheen Musaddiq, Earl E. Swartzlander Jr.

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014