Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ankur Mallick"'
Autor:
Ankur Mallick, Gauri Joshi
Publikováno v:
2022 IEEE Information Theory Workshop (ITW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be1a38f8f83a487850602a304d229165
https://doi.org/10.1109/itw54588.2022.9965760
https://doi.org/10.1109/itw54588.2022.9965760
Publikováno v:
ISTC
Machine learning today involves massive distributed computations running on cloud servers, which are highly susceptible to slowdown or straggling. Recent work has demonstrated the effectiveness of erasure codes in mitigating such slowdown for linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a55b9f25dd9522bfaf0f323395f6be72
https://doi.org/10.1109/istc49272.2021.9594268
https://doi.org/10.1109/istc49272.2021.9594268
Autor:
Gauri Joshi, Ankur Mallick
Publikováno v:
ISIT
Unpredictable slowdown of worker nodes, or node straggling, is a major bottleneck when performing large matrix computations such as matrix-vector multiplication in a distributed fashion. For sparse matrices, the problem is compounded by irregularitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d7c12aeaa8dea9a83b744d6a8780632
https://doi.org/10.1109/isit.2019.8849306
https://doi.org/10.1109/isit.2019.8849306
Publikováno v:
ICASSP
We propose a rateless fountain coding strategy to alleviate the problem of straggling nodes – computing nodes that unpredictably slowdown or fail – in distributed matrix-vector multiplication. Our algorithm generates linear combinations of the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b22e7f4cf3f093b94753e727233d31e
https://doi.org/10.1109/icassp.2019.8682347
https://doi.org/10.1109/icassp.2019.8682347
Autor:
Ankur Mallick, Animesh Kumar
Publikováno v:
ICASSP
Sampling spatial fields using sensors which are location unaware is an exciting topic. Due to symmetry and shift-invariance of bandlimited fields, it is known that uniformly distributed location-unaware sensors cannot infer the field. This work studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08af90079e959658dd60663d5354411a
https://doi.org/10.1109/icassp.2016.7472431
https://doi.org/10.1109/icassp.2016.7472431