Jan 14, 2022 · To address it, we propose an online scheduling algorithm to decide the execution time window, the number and the type of concurrent workers and ...
Oct 11, 2020 · We propose an online scheduling algorithm to decide the execution time window, the number and the type of concurrent workers and parameter servers for each job ...
Sep 2, 2023 · Abstract—Distributed machine learning (ML) has played a key role in today's proliferation of AI services. A typical model of distributed.
Sep 1, 2020 · To address it, we propose an online scheduling algorithm to decide the execution time window, the number and the type of concurrent workers and ...
To address it, we propose an online scheduling algorithm to decide the execution time window, the number and the type of concurrent workers and parameter ...
Jun 7, 2023 · Themis presents a two-level scheduling architecture where ML apps can bid on resources offered in an auction. Gu et al. [20]. ZHOU ET AL.: ...
This work designs an online algorithm for scheduling the arriving jobs and deciding the adjusted numbers of concurrent workers and parameter servers for ...
Oct 7, 2020 · This work proposes an online scheduling algorithm to decide the execution time window, the number and the type of concurrent workers and ...
In this paper, we proposed online scheduling algorithms to speed up the training of UDL, meanwhile minimizing the bandwidth consumption caused by transmitting ...
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Jan 28, 2024 · Extensive trace-driven simulations show that our algorithm advances in both fairness and cluster efficiency by at least 20% compared to three ...