Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Derya Cavdar"'
Publikováno v:
SC
Training large deep neural networks is time-consuming and may take days or even weeks to complete. Although parameter-server-based approaches were initially popular in distributed training, scalability issues led the field to move towards all-reduce-
Autor:
Valeriu Codreanu, Don D. Smith, Pei Yang, Srinivas Varadharajan, Vikram A. Saletore, Can Karakus, Derya Cavdar, John A. Lockman, Lucas A. Wilson, Rengan Xu, Alexander Sergeev, Damian Podareanu, Quy Ta, Victor Suthichai
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030206550
ISC
ISC
Neural machine translation - using neural networks to translate human language - is an area of active research exploring new neuron types and network topologies with the goal of dramatically improving machine translation performance. Current state-of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51fb54170ef55b38d1f2243777ad22cc
https://doi.org/10.1007/978-3-030-20656-7_2
https://doi.org/10.1007/978-3-030-20656-7_2
Publikováno v:
Future Generation Computer Systems
Executing heterogeneous workloads with different priorities, resource demands and performance objectives is one of the key operations for today's data centers to increase resource as well as energy efficiency. In order to meet the performance objecti
Publikováno v:
Revista de Investigación en Logopedia, Vol 13, Iss 2 (2023)
The primary aim of this study was to compare the listening comprehension levels of four groups of people who listened to recordings that varied in terms of the percentage of syllables stuttered (%SS). The secondary aim was to examine the effects of %
Externí odkaz:
https://doaj.org/article/ff539415fde74ef893dd01f80fc19f4e
Publikováno v:
SIGMETRICS Perform. Eval. Rev.
Scheduling is a central operation to achieve "green" data centers, i.e., distributing diversified workloads across heterogeneous resources in an energy efficient manner. Taking an opposite perspective from most of the related work, this paper reveals
Publikováno v:
Wireless Communications and Mobile Computing. 12:277-292
Cognitive radio heralds the next step in the evolution of wireless communications. In this paper, an analytical model for infrastructure based cognitive radio systems is proposed, and its performance is evaluated under bursty traffic scenarios in a m
Publikováno v:
GLOBECOM
MapReduce has emerged as one of the key workloads in today's data centers, which constantly strive for an optimal tradeoff between energy consumption and performance. MapReduce alternates between computation and communication intensive phases with bu
Autor:
Derya Cavdar, Fatih Alagoz
Publikováno v:
ICNC
In the literature, there is a growing body of research that focuses only on server energy consumption while proposing energy-efficient solutions for data centers. However, energy consumption of a typical data center network constitutes 10-30% of tota
Autor:
Derya Cavdar, Fatih Alagoz
Publikováno v:
GLOBECOM
The growing economical and environmental cost of data centers due to the high energy consumption is becoming a major issue. “Green Data Centers” refers to, energy aware, energy efficient and CO2 emission minimizing designs, protocols, devices, in
Publikováno v:
AICT
In this paper, an analytical model for Infrastructure based Cognitive Radio Networks is proposed and its performance evaluated. The architecture is composed of multiple cognitive radio base stations, and the state of the system depends on the activit