Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Marcelo Naiouf"'
Publikováno v:
Journal of Computer Science and Technology, Vol 24, Iss 2 (2024)
High Performance Computing (HPC) applies different techniques to complex or large-volume applications, relying on both parallel software and hardware, to reduce their execution time compared to running them on a simple computer. On the other hand, Qu
Externí odkaz:
https://doaj.org/article/9943e749ff784c279cf57a022abf2854
Publikováno v:
Journal of Computer Science and Technology, Vol 20, Iss 1, Pp e02-e02 (2020)
The increase in temperature caused by the climate change has resulted in the rapid dissemination of infectious diseases. Given the alert for the current situation, the World Health Organization (WHO) has declared a state of health emergency, highligh
Externí odkaz:
https://doaj.org/article/2ef50d568bce4bfcb7132ee1c3fca6b4
Publikováno v:
Journal of Computer Science and Technology, Vol 16, Iss 02, Pp 76-83 (2016)
Knowledge Discovery in Databases (KDD) techniques present limitations when the volume of data to process is very large. Any KDD algorithm needs to do several iterations on the complete set of data in order to carry out its work. For continuous data s
Externí odkaz:
https://doaj.org/article/0ae62d00f0924941ac68959f8ed27a04
Publikováno v:
Journal of Computer Science and Technology, Vol 16, Iss 02, Pp 95-100 (2016)
Possible methodologies for teaching the concepts of processor heterogeneity and its impact on speedup and efficiency in a parallel system are discussed, as well as energy efficiency of parallel algorithms based on processor power. CMRE (Concurrent Mu
Externí odkaz:
https://doaj.org/article/257e6ed9e7e3479ca288ebf3b681e9c4
Autor:
Pilar Gómez Sánchez, Diego Encinas, Javier Panadero, Aprigio Bezerra, Sandra Méndez, Marcelo Naiouf, Armando Eduardo De Giusti, Dolores Rexachs del Rosario, Emilio Luque
Publikováno v:
Journal of Computer Science and Technology, Vol 16, Iss 02, Pp 65-75 (2016)
In recent years, the use of public cloud platforms as infrastructure has been gaining popularity in many scientific areas and High Performance Computing (HPC) is no exception. These kinds of platforms can be used by system administrators as Test-Bed
Externí odkaz:
https://doaj.org/article/876335300c6241ea89dd88e27f01fa0e
Publikováno v:
Journal of Computer Science and Technology, Vol 18, Iss 03, Pp e23-e23 (2018)
The volume of data in today's applications has meant a change in the way Machine Learning issues are addressed. Indeed, the Big Data scenario involves scalability constraints that can only be achieved through intelligent model design and the use of d
Externí odkaz:
https://doaj.org/article/f723576555f841bcb87803ac7c43ea25
Publikováno v:
Journal of Computer Science and Technology, Vol 18, Iss 02, Pp e17-e17 (2018)
With energy consumption emerging as one of the biggest issues in the development of HPC (High Performance Computing) applications, the importance of detailed power-related research works becomes a priority. In the last years, GPU coprocessors have be
Externí odkaz:
https://doaj.org/article/efd2642700ea4a69a40fb1e1c2e56f7c
Autor:
Diego Miguel Montezanti, Enzo Rucci, Dolores Rexachs del Rosario, Emilio Luque Fadón, Marcelo Naiouf, Armando Eduardo De Giusti
Publikováno v:
Journal of Computer Science and Technology, Vol 14, Iss 01, Pp 32-38 (2014)
Transient faults are becoming a critical concern among current trends of design of general-purpose multiprocessors. Because of their capability to corrupt programs outputs, their impact gains importance when considering long duration, parallel scient
Externí odkaz:
https://doaj.org/article/4a72ab4133ce4f788c822b308bedd9b4
Publikováno v:
Journal of Computer Science and Technology, Vol 10, Iss 02, Pp 86-90 (2010)
In this paper, an analysis of the 4-(N2-1) Puzzle, which is a generalization of the (N2-1) Puzzle, is presented. This problem is of interest due to its algorithmic and computational complexity and its applications to robot movements with several obje
Externí odkaz:
https://doaj.org/article/a5a707b1d724487595be5ec737a1f2c0
Publikováno v:
Journal of Computer Science and Technology, Vol 8, Iss 01, Pp 1-7 (2008)
The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors based on the TTIGHa model. This pa
Externí odkaz:
https://doaj.org/article/c9c92adb2c4f4f8e91d3c157bf4d9586