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ORCIDDivya Mahajan 0001
Person information
- affiliation: Microsoft, Redmond, WA, USA
- affiliation (Ph.D.): Georgia Institute of Technology, GA, USA
- affiliation (former): Texas State University, TX, USA
Other persons with the same name
- Divya Mahajan 0002
![[0000-0002-0619-0285]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0619-0285")
— University of Delhi, Delhi, India (and 1 more)
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2020 – today
- 2024
[j7]Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park:
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. Proc. VLDB Endow. 17(8): 1802-1815 (2024)- [c15]Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. ASPLOS (3) 2024: 722-737 - [c14]Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan:
Integrated Hardware Architecture and Device Placement Search. ICML 2024 - [c13]Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
Heterogeneous Acceleration Pipeline for Recommendation System Training. ISCA 2024: 1063-1079 - [i12]Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. CoRR abs/2403.00579 (2024) - [i11]Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park:
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training. CoRR abs/2403.11472 (2024) - [i10]Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair:
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings. CoRR abs/2404.04270 (2024) - [i9]Muhammad Adnan, Amar Phanishayee, Janardhan Kulkarni, Prashant J. Nair, Divya Mahajan:
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training. CoRR abs/2404.14632 (2024) - [i8]Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan:
Integrated Hardware Architecture and Device Placement Search. CoRR abs/2407.13143 (2024) - [i7]Seonho Lee, Amar Phanishayee, Divya Mahajan:
Data-driven Forecasting of Deep Learning Performance on GPUs. CoRR abs/2407.13853 (2024) - 2023
- [c12]Irene Wang, Prashant J. Nair, Divya Mahajan:
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. NeurIPS 2023 - [i6]Irene Wang, Prashant J. Nair, Divya Mahajan:
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. CoRR abs/2307.02623 (2023) - [i5]Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks. CoRR abs/2308.14902 (2023) - 2022
- [j6]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:
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. IEEE Micro 42(5): 89-98 (2022) - [i4]Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
Heterogeneous Acceleration Pipeline for Recommendation System Training. CoRR abs/2204.05436 (2022) - 2021
- [j5]Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
Accelerating Recommendation System Training by Leveraging Popular Choices. Proc. VLDB Endow. 15(1): 127-140 (2021) - [c11]Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh:
A Computational Stack for Cross-Domain Acceleration. HPCA 2021: 54-70 - [i3]Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. CoRR abs/2103.00686 (2021) - 2020
- [c10]Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino:
Efficient Algorithms for Device Placement of DNN Graph Operators. NeurIPS 2020 - [i2]Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino:
Efficient Algorithms for Device Placement of DNN Graph Operators. CoRR abs/2006.16423 (2020)
2010 – 2019
- 2019
- [b1]Divya Mahajan:
Balancing Generality and Specialization for Machine Learning in the Post-ISA Era. Georgia Institute of Technology, Atlanta, GA, USA, 2019 - [j4]Divya Mahajan, Cody Blakeney, Ziliang Zong:
Improving the energy efficiency of relational and NoSQL databases via query optimizations. Sustain. Comput. Informatics Syst. 22: 120-133 (2019) - 2018
- [j3]Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh:
In-RDBMS Hardware Acceleration of Advanced Analytics. Proc. VLDB Endow. 11(11): 1317-1331 (2018) - [c9]Jacob Sacks, Divya Mahajan, Richard Connor Lawson, Hadi Esmaeilzadeh:
RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics. ISCA 2018: 479-490 - [i1]Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh:
In-RDBMS Hardware Acceleration of Advanced Analytics. CoRR abs/1801.06027 (2018) - 2017
- [j2]Amir Yazdanbakhsh, Divya Mahajan, Hadi Esmaeilzadeh, Pejman Lotfi-Kamran:
AxBench: A Multiplatform Benchmark Suite for Approximate Computing. IEEE Des. Test 34(2): 60-68 (2017) - [c8]Divya Mahajan, Ziliang Zong:
Energy efficiency analysis of query optimizations on MongoDB and Cassandra. IGSC 2017: 1-6 - [c7]Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh:
Scale-out acceleration for machine learning. MICRO 2017: 367-381 - 2016
- [c6]Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh:
AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing. ASPLOS 2016: 623-636 - [c5]Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh:
TABLA: A unified template-based framework for accelerating statistical machine learning. HPCA 2016: 14-26 - [c4]Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh:
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration. ISCA 2016: 66-77 - [c3]Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh:
From high-level deep neural models to FPGAs. MICRO 2016: 17:1-17:12 - 2015
- [j1]Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan:
Axilog: Abstractions for Approximate Hardware Design and Reuse. IEEE Micro 35(5): 16-30 (2015) - [c2]Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan:
Axilog: language support for approximate hardware design. DATE 2015: 812-817 - 2014
- [c1]Divya Mahajan, Matheen Musaddiq, Earl E. Swartzlander Jr.:
Memristor based adders. ACSSC 2014: 1256-1260
Coauthor Index
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