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cs.DC2025
Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization
Aditya Devarakonda, Ramakrishnan Kannan
Distributed-memory implementations of numerical optimization algorithm, such as stochastic gradient descent (SGD), require interprocessor communication at every iteration of the al…
cs.DC2023
Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths
Aditya Devarakonda, Grey Ballard
In this work, we design, analyze, and optimize sequential and shared-memory parallel algorithms for partitioned local depths (PaLD). Given a set of data points and pairwise distanc…