Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Franco Chichizola"'
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
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
Autor:
Laura Cristina De Giusti, Franco Chichizola, Marcelo Naiouf, Ana Ripoll, Armando Eduardo De Giusti
Publikováno v:
Journal of Computer Science and Technology, Vol 7, Iss 01, Pp 39-44 (2007)
This paper discusses automatic mapping methods for concurrent tasks to processors applying graph analysis for the relation among tasks, in which processing and communicating times are incorporated. Starting by an analysis in which processors are homo
Externí odkaz:
https://doaj.org/article/9c302f77627243419a99af50c550120b
Publikováno v:
Journal of Computer Science and Technology, Vol 5, Iss 04, Pp 272-278 (2005)
This paper analyzes the dynamic and static balancing of non-homogenous cluster architectures, simultaneously analyzing the theoretical parallel Speedup as well as the Speedup experimentally obtained. Three interconnected clusters have been used in wh
Externí odkaz:
https://doaj.org/article/e3cfd1f92f334f63b5da7380ba4096dd
This volume CCIS 2189 constitutes the refereed proceedings of the 12th Conference, JCC-BD&ET 2024, held in La Plata, Argentina during June 25–27, 2024. The 12 full papers presented were carefully reviewed and selected from 37 submissions. They wer
Autor:
Laura Cristina De Giusti, Enzo Rucci, Marcelo Naiouf, Armando Eduardo De Giusti, Franco Chichizola
Publikováno v:
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Universidad Nacional de La Plata
instacron:UNLP
Compilación de los short papers presentados en las 9nas Jornadas de Cloud Computing, Big Data & Emerging Topics (JCC-BD&ET2021), llevadas a cabo en modalidad virtual durante junio de 2021 y organizadas por el Instituto de Investigación en Informát
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::502a0e617e3d3586db360373b1476909
https://doi.org/10.35537/10915/121564
https://doi.org/10.35537/10915/121564
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030758356
Today, one of the main challenges for high-performance computing systems is to improve their performance by keeping energy consumption at acceptable levels. In this context, a consolidated strategy consists of using accelerators such as GPUs or many-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3673994ffdf4fb39ca8bc1812b7cc84e
https://doi.org/10.1007/978-3-030-75836-3_3
https://doi.org/10.1007/978-3-030-75836-3_3
This book constitutes the revised selected papers of the 11th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2023, held in La Plata, Argentina•, in June 2023.The 14 full papers were carefully reviewed and selecte
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030612177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cbb6236d5b41510ce5c41db9d8e0d04
https://doi.org/10.1007/978-3-030-61218-4_12
https://doi.org/10.1007/978-3-030-61218-4_12
Autor:
Martín Pi Puig, Laura Cristina De Giusti, Armando Eduardo De Giusti, Franco Chichizola, Marcelo Naiouf, Juan Manuel Paniego, Leandro Libutti
Publikováno v:
Computer Science – CACIC 2019 ISBN: 9783030483241
CACIC
CACIC
Monitoring processor power is important to define strategies that allow reducing energy costs in computer systems. Today, processors have a large number of counters that allow monitoring system events such as CPU usage, memory, cache, and so forth. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a8f68d9429ff1497a8f29689c242d82
https://doi.org/10.1007/978-3-030-48325-8_4
https://doi.org/10.1007/978-3-030-48325-8_4