Aditya Devarakonda

24 papers A 2B 1C 1Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Communication-Avoiding Linear Algebraic Kernel K-Means on GPUs. CoRR Julian Bellavita, Matthew Rubino, Nakul Iyer, Andrew Chang, Aditya Devarakonda, Flavio Vella, Giulia Guidi
2025	J	`jnl`	Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization. CoRR Aditya Devarakonda, Ramakrishnan Kannan
2025	J	`jnl`	DistShap: Scalable GNN Explanations with Distributed Shapley Values. CoRR Selahattin Akkas, Aditya Devarakonda, Ariful Azad
2025	J	`jnl`	Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models. CoRR Yixiao Wang, Zishan Shao, Ting Jiang, Aditya Devarakonda
2025	A	`conf`	Parallel Rank-Adaptive Higher Order Orthogonal Iteration. SC João Pinheiro, Aditya Devarakonda, Grey Ballard
2025	C	`conf`	Scalable Dual Coordinate Descent for Kernel Methods. HPC Asia Zishan Shao, Aditya Devarakonda
2024	J	`jnl`	Scalable Dual Coordinate Descent for Kernel Methods. CoRR Zishan Shao, Aditya Devarakonda
2024	—	`conf`	Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths. PP Aditya Devarakonda, Grey Ballard
2023	J	`jnl`	Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths. CoRR Aditya Devarakonda, Grey Ballard
2020	Misc	`conf`	Avoiding Communication in Logistic Regression. HiPC Aditya Devarakonda, James Demmel
2020	J	`jnl`	Avoiding Communication in Logistic Regression. CoRR Aditya Devarakonda, James Demmel
2019	J	`jnl`	Avoiding Communication in Primal and Dual Block Coordinate Descent Methods. SIAM J. Sci. Comput. Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
2018	—	`—`	Avoiding Communication in First Order Methods for Optimization. Aditya Devarakonda
2018	A	`conf`	Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. IPDPS Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
2018	B	`conf`	Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. ICPP Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2017	J	`jnl`	AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks. CoRR Aditya Devarakonda, Maxim Naumov, Michael Garland
2017	J	`jnl`	Avoiding Communication in Proximal Methods for Convex Optimization Problems. CoRR Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2017	J	`jnl`	Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. CoRR Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
2016	J	`jnl`	Avoiding communication in primal and dual block coordinate descent methods. CoRR Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
2016	J	`jnl`	Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. CoRR Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat
2016	—	`conf`	Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. IEEE BigData Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat
2014	—	`conf`	Architecting an autograder for parallel code. XSEDE Razvan Carbunescu, Aditya Devarakonda, James Demmel, Steven I. Gordon, Jay Alameda, Susan Mehringer
2013	J	`jnl`	Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering. Comput. Sci. Eng. Manish Parashar, Moustafa AbdelBaky, Ivan Rodero, Aditya Devarakonda
2012	J	`jnl`	Cloud federation in a layered service model. J. Comput. Syst. Sci. David Villegas, Norman Bobroff, Ivan Rodero, Javier Delgado, Yanbin Liu, Aditya Devarakonda, Liana Fong, Seyed Masoud Sadjadi, Manish Parashar