Zobrazeno 1 - 10
of 140
pro vyhledávání: '"RAPP, MARTIN"'
Publikováno v:
ACM Comput. Surv. 55, 14s, Article 334, 2023
With an increasing number of smart devices like internet of things (IoT) devices deployed in the field, offloadingtraining of neural networks (NNs) to a central server becomes more and more infeasible. Recent efforts toimprove users' privacy have led
Externí odkaz:
http://arxiv.org/abs/2307.09182
We consider online scheduling on unrelated (heterogeneous) machines in a speed-oblivious setting, where an algorithm is unaware of the exact job-dependent processing speeds. We show strong impossibility results for clairvoyant and non-clairvoyant alg
Externí odkaz:
http://arxiv.org/abs/2302.00985
Application migration and dynamic voltage and frequency scaling (DVFS) are indispensable means for fully exploiting the available potential in thermal optimization of a heterogeneous clustered multi-core processor under user-defined quality of servic
Externí odkaz:
http://arxiv.org/abs/2206.05459
Publikováno v:
Transactions on Machine Learning Research, 06/2023
Devices participating in federated learning (FL) typically have heterogeneous communication, computation, and memory resources. However, in synchronous FL, all devices need to finish training by the same deadline dictated by the server. Our results s
Externí odkaz:
http://arxiv.org/abs/2203.05468
We study the problem of distributed training of neural networks (NNs) on devices with heterogeneous, limited, and time-varying availability of computational resources. We present an adaptive, resource-aware, on-device learning mechanism, DISTREAL, wh
Externí odkaz:
http://arxiv.org/abs/2112.08761
Autor:
Siddhu, Lokesh, Kedia, Rajesh, Pandey, Shailja, Rapp, Martin, Pathania, Anuj, Henkel, Jörg, Panda, Preeti Ranjan
Processing cores and the accompanying main memory working in tandem enable the modern processors. Dissipating heat produced from computation, memory access remains a significant problem for processors. Therefore, processor thermal management continue
Externí odkaz:
http://arxiv.org/abs/2109.12405
We consider a distributed system, consisting of a heterogeneous set of devices, ranging from low-end to high-end. These devices have different profiles, e.g., different energy budgets, or different hardware specifications, determining their capabilit
Externí odkaz:
http://arxiv.org/abs/2006.05403
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Akademický článek
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Autor:
Mettler, Marcel, Rapp, Martin, Khdr, Heba, Mueller-Gritschneder, Daniel, Henkel, Jörg, Schlichtmann, Ulf
With a rapidly growing functionality of embedded real-time applications, it becomes inevitable to integrate tasks of different safety integrity levels on one many-core processor leading to a large-scale mixed-criticality system. In this process, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13fc3c69d7d37d02511a7893a412bce1