Divya Mahajan

ORCID

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 22

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
Heterogeneous Acceleration Pipeline for Recommendation System Training. CoRR (2022)
Shilpi Verma, Mukesh Kumar Mehlawat, Divya Mahajan
Software component evaluation and selection using TOPSIS and fuzzy interactive approach under multiple applications development. Ann. Oper. Res. 312 (1) (2022)
Pankaj Gupta, Mukesh Kumar Mehlawat, Divya Mahajan
Data envelopment analysis based multi-objective optimization model for evaluation and selection of software components under optimal redundancy. Ann. Oper. Res. 312 (1) (2022)
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) (2022)
Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. CoRR (2021)
Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
Accelerating Recommendation System Training by Leveraging Popular Choices. Proc. VLDB Endow. 15 (1) (2021)
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)
Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
Efficient Algorithms for Device Placement of DNN Graph Operators. NeurIPS (2020)
Mukesh Kumar Mehlawat, Pankaj Gupta, Divya Mahajan
A multi-period multi-objective optimization framework for software enhancement and component evaluation, selection and integration. Inf. Sci. 523 (2020)
Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
Efficient Algorithms for Device Placement of DNN Graph Operators. CoRR (2020)
Divya Mahajan, Cody Blakeney, Ziliang Zong
Improving the energy efficiency of relational and NoSQL databases via query optimizations. Sustain. Comput. Informatics Syst. 22 (2019)
Pankaj Gupta, Mukesh Kumar Mehlawat, Divya Mahajan
Multi-objective optimization framework for software maintenance, component evaluation and selection involving outsourcing, redundancy and customer to customer relationship. Inf. Sci. 483 (2019)
Jacob Sacks, Divya Mahajan, Richard Connor Lawson, Hadi Esmaeilzadeh
RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics. ISCA (2018)
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) (2018)
Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh
In-RDBMS Hardware Acceleration of Advanced Analytics. CoRR (2018)
Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh
Scale-out acceleration for machine learning. MICRO (2017)
Divya Mahajan, Ziliang Zong
Energy efficiency analysis of query optimizations on MongoDB and Cassandra. IGSC (2017)
Amir Yazdanbakhsh, Divya Mahajan, Hadi Esmaeilzadeh, Pejman Lotfi-Kamran
AxBench: A Multiplatform Benchmark Suite for Approximate Computing. IEEE Des. Test 34 (2) (2017)
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)
Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh
AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing. ASPLOS (2016)
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)
Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration. ISCA (2016)
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)
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) (2015)
Divya Mahajan, Matheen Musaddiq, Earl E. Swartzlander Jr.
Memristor based adders. ACSSC (2014)

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Publication Activity (10 Years)

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Divya Mahajan