papers
Publications (4)
cs.LG2018
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov, Michael Garland
cs.DC2016
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies
Alex Gittens, Aditya Devarakonda, Evan Racah +14
cs.DC2017
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization
Aditya Devarakonda, Kimon Fountoulakis, James Demmel +1
cs.DC2017
Avoiding communication in primal and dual block coordinate descent methods
Aditya Devarakonda, Kimon Fountoulakis, James Demmel +1