19   Artículos

 
en línea
Anastasios Fanariotis, Theofanis Orphanoudakis and Vassilis Fotopoulos    
Having as a main objective the exploration of power efficiency of microcontrollers running machine learning models, this manuscript contrasts the performance of two types of state-of-the-art microcontrollers, namely ESP32 with an LX6 core and ESP32-S3 wi... ver más
Revista: Information    Formato: Electrónico

 
en línea
Martina Pappalardo, Antonio Virdis and Enzo Mingozzi    
The Internet of Things (IoT) brings internet connectivity to everyday devices. These devices generate a large volume of information that needs to be transmitted to the nodes running the IoT applications, where they are processed and used to make some out... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Tingting Lan, Danyang Qin and Guanyu Sun    
In recent years, due to the strong mobility, easy deployment, and low cost of unmanned aerial vehicles (UAV), great interest has arisen in utilizing UAVs to assist in wireless communication, especially for on-demand deployment in emergency situations and... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Hyejeong Choi and Sejin Park    
Recently, the machine learning research trend expands to the system performance optimization field, where it has still been proposed by researchers based on their intuitions and heuristics. Compared to conventional major machine learning research areas s... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wei Li, Peng Sun and Rui Han    
Information-centric networks (ICNs) have received wide interest from researchers, and in-network caching is an important characteristic of ICN. The management and placement of contents are essential due to cache nodes? limited cache space and the huge In... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Qing Zhu, Meite Chen, Bin Feng, Yan Zhou, Maosu Li, Zhaowen Xu, Yulin Ding, Mingwei Liu, Wei Wang and Xiao Xie    
Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resources... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xin Zheng, Gaocai Wang and Qifei Zhao    
With the rapid development of cloud computing, big data, and Internet of Things, Information-Centric Networking (ICN) has become a novel hotspot in the field of future Internet architecture, and new problems have appeared. In particular, more researchers... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Julian Hornich,Julian Hammer,Georg Hager,Thomas Gruber,Gerhard Wellein     Pág. 4 - 25
Stencil algorithms have been receiving considerable interest in HPC research for decades. The techniques used to approach multi-core stencil performance modeling and engineering span basic runtime measurements, elaborate performance models, detailed hard... ver más
Revista: Supercomputing Frontiers and Innovations    Formato: Electrónico

 
en línea
Kevin Aydin, MohammadHossein Bateni and Vahab Mirrokni    
Balanced partitioning is often a crucial first step in solving large-scale graph optimization problems, for example, in some cases, a big graph can be chopped into pieces that fit on one machine to be processed independently before stitching the results ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Tosiron Adegbija and Ann Gordon-Ross    
-
Revista: Computers    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »