闪光东本 发表于 2025-3-28 18:11:56
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Jan Jürjens,Siv Hilde Houmbe devices, etc. By taking advantage of an aggregative Graph Application Programming Interface (API), users have the ability to harness shattered data and keep them into a privacy-aware platform (Cloudlet) where permissions can be applied, and therefore let developers build useful applications from i胶状 发表于 2025-3-29 01:49:14
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http://reply.papertrans.cn/47/4657/465643/465643_44.pnggrandiose 发表于 2025-3-29 10:31:49
http://reply.papertrans.cn/47/4657/465643/465643_45.pngDesert 发表于 2025-3-29 13:55:01
Kishor S. Trivedi,Kalyanaraman Vaidyanathanservers that support accelerators such as GPUs, not conventional CPU servers, are being considered. In addition, as the number of AI services is increasing and the computation power required by deep neural network model increases, offloading to edge servers is required due to insufficient computatioRALES 发表于 2025-3-29 16:01:29
Marcelo Lubaszewski,Jose Luis HuertasPGAs and GPUs. These accelerators provide significant performance gains over traditional CPUs, but their efficient utilization requires careful scheduling configuration for given DL requests. In this paper, we propose a SLO-aware DL job scheduling model for efficient FPGA-GPU edge cloud computing. T谷类 发表于 2025-3-29 21:31:46
http://reply.papertrans.cn/47/4657/465643/465643_48.pngfaction 发表于 2025-3-30 00:17:27
http://reply.papertrans.cn/47/4657/465643/465643_49.png比喻好 发表于 2025-3-30 04:32:17
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