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pro vyhledávání: '"Greeven, Caspar"'
Autor:
Versluis, Laurens, Cetin, Mehmet, Greeven, Caspar, Laursen, Kristian, Podareanu, Damian, Codreanu, Valeriu, Uta, Alexandru, Iosup, Alexandru
Improving datacenter operations is vital for the digital society. We posit that doing so requires our community to shift, from operational aspects taken in isolation to holistic analysis of datacenter resources, energy, and workloads. In turn, this s
Externí odkaz:
http://arxiv.org/abs/2107.11832
Despite their successes in the field of self-learning AI, Convolutional Neural Networks (CNNs) suffer from having too many trainable parameters, impacting computational performance. Several approaches have been proposed to reduce the number of parame
Externí odkaz:
http://arxiv.org/abs/1902.10385
Autor:
Versluis, Laurens, Cetin, Mehmet, Greeven, Caspar, Laursen, Kristian, Podareanu, Damian, Codreanu, Valeriu, Uta, Alexandru, Iosup, Alexandru
Publikováno v:
In Future Generation Computer Systems May 2023 142:117-130
