Name
Abstract | ||
|---|---|---|
Dealing with the shear size and complexity of today's massive data sets requires computational platforms that can analyze data in a parallelized and distributed fashion. A major bottleneck that arises in such modern distributed computing environments is that some of the worker nodes may run slow. These nodes a.k.a. stragglers can significantly slow down computation as the slowest node may dictate ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1093/imaiai/iaaa026 | Information and Inference: A Journal of the IMA |
Keywords | Field | DocType |
distributed computing,machine learning,optimization,stragglers | Convergence (routing),Bottleneck,Data set,Mathematical optimization,Trade offs,Data redundancy,Redundancy (engineering),Rate of convergence,Mathematics,Computation,Distributed computing | Journal |
Volume | Issue | ISSN |
10 | 1 | 2049-8764 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Salman Avestimehr | 1 | 1880 | 157.39 |
| Seyed Mohammadreza Mousavi Kalan | 2 | 14 | 1.99 |
| Mahdi Soltanolkotabi | 3 | 409 | 25.97 |