Aditya Devarakonda
Wake Forest University(US)
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Distributed and Parallel Computing Systems, Matrix Theory and Algorithms, Advanced Optimization Algorithms Research
Most-Cited Works
- → Cloud federation in a layered service model(2012)195 cited
- → AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks(2017)105 cited
- → Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering(2013)64 cited
- → Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies(2016)44 cited
- → Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies(2016)16 cited
- → Avoiding Communication in Primal and Dual Block Coordinate Descent Methods(2019)11 cited
- → Architecting an autograder for parallel code(2014)5 cited
- → Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems(2018)4 cited
- → Avoiding Communication in Proximal Methods for Convex Optimization Problems(2017)3 cited
- → Scalable Dual Coordinate Descent for Kernel Methods(2025)2 cited