3 papers
cs.LG2021
Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory
Eduin E. Hernandez, Stefano Rini, Tolga M. Duman
In this paper, an algorithm for approximate evaluation of back-propagation in DNN training is considered, which we term Approximate Outer Product Gradient Descent with Memory (Mem-…
cs.DC2021
Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication
Busra Tegin, Eduin. E. Hernandez, Stefano Rini +1
Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for the computations at t…
cs.IT2020
Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication
Busra Tegin, Eduin E. Hernandez, Stefano Rini +1
Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for computation at the ag…