Coding Against Stragglers in Distributed Computation Scenarios
M Aliasgari - 2020 - search.proquest.com
Data and analytics capabilities have made a leap forward in recent years. The volume of
available data has grown exponentially. The huge amount of data needs to be transferred …
available data has grown exponentially. The huge amount of data needs to be transferred …
Slack squeeze coded computing for adaptive straggler mitigation
While performing distributed computations in today's cloud-based platforms, execution
speed variations among compute nodes can significantly reduce the performance and …
speed variations among compute nodes can significantly reduce the performance and …
[PDF][PDF] Slack squeeze coded computing for adaptive straggler mitigation
Z Krishna Giri Narra - SC'19: Proceedings of the International …, 2019 - par.nsf.gov
While performing distributed computations in today's cloud-based platforms, execution
speed variations among compute nodes can significantly reduce the performance and …
speed variations among compute nodes can significantly reduce the performance and …
Coded computing at full speed
Distributed computing is the mainstream for large-scale machine learning and big data
analytics, but its performance usually suffers from unpredictable stragglers, ie, very slow …
analytics, but its performance usually suffers from unpredictable stragglers, ie, very slow …
Slack squeeze coded computing for adaptive straggler mitigation
While performing distributed computations in today's cloud-based platforms, execution
speed variations among compute nodes can significantly reduce the performance and …
speed variations among compute nodes can significantly reduce the performance and …
On heterogeneous coded distributed computing
We consider the recently proposed Coded Distributed Computing (CDC) framework [1]-[3]
that leverages carefully designed redundant computations to enable coding opportunities …
that leverages carefully designed redundant computations to enable coding opportunities …
Leveraging coding techniques and redundancy for speeding up distributed computing and robustifying distributed learning
K Konstantinidis - 2022 - search.proquest.com
Distributed computing is extensively used nowadays to facilitate the processing of large
amounts of data for a wide range of applications, including, but not limited to, machine …
amounts of data for a wide range of applications, including, but not limited to, machine …
Coded computing: Mitigating fundamental bottlenecks in large-scale distributed computing and machine learning
S Li, S Avestimehr - Foundations and Trends® in …, 2020 - nowpublishers.com
We introduce the concept of “coded computing”, a novel computing paradigm that utilizes
coding theory to effectively inject and leverage data/computation redundancy to mitigate …
coding theory to effectively inject and leverage data/computation redundancy to mitigate …
Vers: fully distributed Coded Computing System with Distributed Encoding
N Abadi Khooshemehr, MA Maddah-Ali - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Coded computing has proved to be useful in distributed computing. We have observed that
almost all coded computing systems studied so far consider a setup of one master and some …
almost all coded computing systems studied so far consider a setup of one master and some …
Vers: fully distributed coded computing system with distributed encoding
NA Khooshemehr, MA Maddah-Ali - arXiv preprint arXiv:2304.05691, 2023 - arxiv.org
Coded computing has proved to be useful in distributed computing. We have observed that
almost all coded computing systems studied so far consider a setup of one master and some …
almost all coded computing systems studied so far consider a setup of one master and some …