Aditya Devarakonda

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Aditya Devarakonda, Grey Ballard
Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths. PP (2024)
Zishan Shao, Aditya Devarakonda
Scalable Dual Coordinate Descent for Kernel Methods. CoRR (2024)
Aditya Devarakonda, Grey Ballard
Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths. CoRR (2023)
Aditya Devarakonda, James Demmel
Avoiding Communication in Logistic Regression. CoRR (2020)
Aditya Devarakonda, James Demmel
Avoiding Communication in Logistic Regression. HiPC (2020)
Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
Avoiding Communication in Primal and Dual Block Coordinate Descent Methods. SIAM J. Sci. Comput. 41 (1) (2019)
Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. IPDPS (2018)
Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. ICPP (2018)
Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. CoRR (2017)
Aditya Devarakonda, Maxim Naumov, Michael Garland
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks. CoRR (2017)
Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
Avoiding Communication in Proximal Methods for Convex Optimization Problems. CoRR (2017)
Aditya Devarakonda, Kimon Fountoulakis, James Demmel, Michael W. Mahoney
Avoiding communication in primal and dual block coordinate descent methods. CoRR (2016)
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
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. IEEE BigData (2016)
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
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. CoRR (2016)
Razvan Carbunescu, Aditya Devarakonda, James Demmel, Steven I. Gordon, Jay Alameda, Susan Mehringer
Architecting an autograder for parallel code. XSEDE (2014)
Manish Parashar, Moustafa AbdelBaky, Ivan Rodero, Aditya Devarakonda
Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering. Comput. Sci. Eng. 15 (4) (2013)
David Villegas, Norman Bobroff, Ivan Rodero, Javier Delgado, Yanbin Liu, Aditya Devarakonda, Liana Fong, Seyed Masoud Sadjadi, Manish Parashar
Cloud federation in a layered service model. J. Comput. Syst. Sci. 78 (5) (2012)

Aditya Devarakonda.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Aditya Devarakonda