2 citations · 2 across the 5 of their papers we have counts for
5 papers
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence
Karl Bäckström, Ivan Walulya, Marina Papatriantafilou +1
Stochastic gradient descent (SGD) is an essential element in Machine Learning (ML) algorithms. Asynchronous parallel shared-memory SGD (AsyncSGD), including synchronization-free al…
Performance Modeling and Vertical Autoscaling of Stream Joins
Hannaneh Najdataei, Vincenzo Gulisano, Alessandro V. Papadopoulos +3
Streaming analysis is widely used in cloud as well as edge infrastructures. In these contexts, fine-grained application performance can be based on accurate modeling of streaming o…
D2.4 Report on the final prototype of programming abstractions for energy-efficient inter-process communication
Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar +5
Work package 2 (WP2) aims to develop libraries for energy-efficient inter-process communication and data sharing on the EXCESS platforms. The Deliverable D2.4 reports on the final…
D2.3 Power models, energy models and libraries for energy-efficient concurrent data structures and algorithms
Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar +5
This deliverable reports the results of the power models, energy models and libraries for energy-efficient concurrent data structures and algorithms as available by project month 3…
D2.1 Models for energy consumption of data structures and algorithms
Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar +5
This deliverable reports our early energy models for data structures and algorithms based on both micro-benchmarks and concurrent algorithms. It reports the early results of Task 2…