[PDF][PDF] Neural Network Compression for On Board Space Payloads

P Barmpakos - 2021 - ikee.lib.auth.gr
Abstract Space missions and flight vehicles up to date are constantly enhancing their system
and instrument capabilities, feeding the domain with new and more complex data. However …

Darb: A density-aware regular-block pruning for deep neural networks

A Ren, T Zhang, Y Wang, S Lin, P Dong… - arXiv preprint arXiv …, 2019 - arxiv.org
The rapidly growing parameter volume of deep neural networks (DNNs) hinders the artificial
intelligence applications on resource constrained devices, such as mobile and wearable …

Exploring High Performance Deep Neural Networks on GPUs

S Dong - 2020 - search.proquest.com
Over the past few decades, Machine Learning (ML) has gained unprecedented popularity,
becoming a pervasive technology that has benefitted a broad range of domains such as …

High-performance and Energy-efficient Deep Learning for Resource-constrained Devices

A Ren - 2020 - search.proquest.com
Driven by the rapid development of deep neural networks (DNNs) in recent years, artificial
intelligence applications have been flourishing in a spectrum of fields, such as image …

Deadline-aware Job and Task Scheduling in Cloud Environment

M Xu - 2019 - search.proquest.com
Data-intensive jobs, eg, financial analysis and log mining, need to process huge amount of
data, and those jobs are suitable to run on the cloud environment, which provides computing …