Divya Mahajan - RankMe

50 papers A* 14A 2B 1Misc 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NEST: Network- and Memory-Aware Device Placement For Distributed Deep Learning. CoRR Irene Wang, Vishnu Varma Venkata, Arvind Krishnamurthy, Divya Mahajan
2026	A*	`conf`	VectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG. HPCA Junkyum Kim, Divya Mahajan
2025	J	`jnl`	An Adaptive Vector Index Partitioning Scheme for Low-Latency RAG Pipeline. CoRR Junkyum Kim, Divya Mahajan
2025	J	`jnl`	Carbon Aware Transformers Through Joint Model-Hardware Optimization. CoRR Irene Wang, Newsha Ardalani, Mostafa Elhoushi, Daniel Jiang, Samuel Hsia, Ekin Sumbul, Divya Mahajan, Carole-Jean Wu, Bilge Acun
2025	B	`conf`	Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications. ISPASS Seonho Lee, Jihwan Oh, Seokjin Go, Divya Mahajan
2025	J	`jnl`	Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications. CoRR Seonho Lee, Jihwan Oh, Junkyum Kim, Seokjin Go, Jongse Park, Divya Mahajan
2025	A*	`conf`	Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. MICRO Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025	J	`jnl`	Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. CoRR Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025	J	`jnl`	EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence. CoRR Ansel Kaplan Erol, Seungjun Lee, Divya Mahajan
2025	J	`jnl`	Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants. CoRR Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angélica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
2025	—	`conf`	Forecasting GPU Performance for Deep Learning Training and Inference. ASPLOS (1) Seonho Lee, Amar Phanishayee, Divya Mahajan
2025	J	`jnl`	MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing. CoRR Seokjin Go, Divya Mahajan
2025	A*	`conf`	Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving. MICRO Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park
2025	J	`jnl`	Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving. CoRR Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park
2025	A	`conf`	Slipstream: Semantic-Based Training Acceleration for Recommendation Models. DATE Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair
2024	J	`jnl`	Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings. CoRR Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair
2024	J	`jnl`	Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training. CoRR Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
2024	J	`jnl`	Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. Proc. VLDB Endow. Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
2024	J	`jnl`	Data-driven Forecasting of Deep Learning Performance on GPUs. CoRR Seonho Lee, Amar Phanishayee, Divya Mahajan
2024	A*	`conf`	Heterogeneous Acceleration Pipeline for Recommendation System Training. ISCA Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2024	A*	`conf`	Integrated Hardware Architecture and Device Placement Search. ICML Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2024	J	`jnl`	Integrated Hardware Architecture and Device Placement Search. CoRR Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2024	—	`conf`	NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. ASPLOS (3) Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park
2024	J	`jnl`	NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. CoRR Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park
2024	J	`jnl`	Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training. CoRR Muhammad Adnan, Amar Phanishayee, Janardhan Kulkarni, Prashant J. Nair, Divya Mahajan
2023	J	`jnl`	Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks. CoRR Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2023	A*	`conf`	FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. NeurIPS Irene Wang, Prashant J. Nair, Divya Mahajan
2023	J	`jnl`	FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. CoRR Irene Wang, Prashant J. Nair, Divya Mahajan
2022	J	`jnl`	Heterogeneous Acceleration Pipeline for Recommendation System Training. CoRR Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2022	J	`jnl`	Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. IEEE Micro 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
2021	A*	`conf`	A Computational Stack for Cross-Domain Acceleration. HPCA Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh
2021	J	`jnl`	Accelerating Recommendation System Training by Leveraging Popular Choices. Proc. VLDB Endow. Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2021	J	`jnl`	High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. CoRR Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2020	A*	`conf`	Efficient Algorithms for Device Placement of DNN Graph Operators. NeurIPS Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
2020	J	`jnl`	Efficient Algorithms for Device Placement of DNN Graph Operators. CoRR Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
2019	—	`—`	Balancing Generality and Specialization for Machine Learning in the Post-ISA Era. Divya Mahajan
2019	J	`jnl`	Improving the energy efficiency of relational and NoSQL databases via query optimizations. Sustain. Comput. Informatics Syst. Divya Mahajan, Cody Blakeney, Ziliang Zong
2018	J	`jnl`	In-RDBMS Hardware Acceleration of Advanced Analytics. CoRR Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh
2018	J	`jnl`	In-RDBMS Hardware Acceleration of Advanced Analytics. Proc. VLDB Endow. Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh
2018	A*	`conf`	RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics. ISCA Jacob Sacks, Divya Mahajan, Richard Connor Lawson, Hadi Esmaeilzadeh
2017	J	`jnl`	AxBench: A Multiplatform Benchmark Suite for Approximate Computing. IEEE Des. Test Amir Yazdanbakhsh, Divya Mahajan, Hadi Esmaeilzadeh, Pejman Lotfi-Kamran
2017	—	`conf`	Energy efficiency analysis of query optimizations on MongoDB and Cassandra. IGSC Divya Mahajan, Ziliang Zong
2017	A*	`conf`	Scale-out acceleration for machine learning. MICRO Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh
2016	A*	`conf`	AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing. ASPLOS Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh
2016	A*	`conf`	From high-level deep neural models to FPGAs. MICRO Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh
2016	A*	`conf`	TABLA: A unified template-based framework for accelerating statistical machine learning. HPCA Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh
2016	A*	`conf`	Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration. ISCA Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh
2015	J	`jnl`	Axilog: Abstractions for Approximate Hardware Design and Reuse. IEEE Micro Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan
2015	A	`conf`	Axilog: language support for approximate hardware design. DATE Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan
2014	Misc	`conf`	Memristor based adders. ACSSC Divya Mahajan, Matheen Musaddiq, Earl E. Swartzlander Jr.