Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Juan M. Cebrian"'
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2156 (2021)
Clustering algorithms are one of the most widely used kernels to generate knowledge from large datasets. These algorithms group a set of data elements (i.e., images, points, patterns, etc.) into clusters to identify patterns or common features of a s
Externí odkaz:
https://doaj.org/article/b34acd207ff84cb2aea579b649641f76
Publikováno v:
Future Generation Computer Systems. 140:331-343
Publikováno v:
2022 IEEE International Symposium on Workload Characterization (IISWC).
Publikováno v:
International Symposium on Computer Architecture (ISCA)
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The Internet of Things (IoT) is pushing the next economic revolution in which the main players are data and immediacy. IoT is increasingly producing large amounts of data that are now classified as "dark data'' because most are created but never
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Moore’s Law predicted that the number of transistors on a chip would double approximately every 2 years. However, this trend is arriving at an impasse. Optimizing the usage of the available transistors within the thermal dissipation capabilities of
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The ever-increasing computational requirements of HPC and service provider applications are becoming a great challenge for hardware and software designers. These requirements are reaching levels where the isolated development on either computati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab34711efc5135539990ac0e12d536ec
https://hdl.handle.net/10251/169425
https://hdl.handle.net/10251/169425
Publikováno v:
DIGITUM: Depósito Digital Institucional de la Universidad de Murcia
Universidad de Murcia
DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
instname
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
MICRO
Universidad de Murcia
DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
instname
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
MICRO
Virtually all processors today employ a store buffer (SB) to hide store latency. However, when the store buffer is full, store latency is exposed to the processor causing pipeline stalls. The default strategies to mitigate these stalls are to issue p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a90ab88d129aa220ef7986383d9ad86b
http://hdl.handle.net/10201/106144
http://hdl.handle.net/10201/106144
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Since the early 70s, simulation infrastructures have been a keystone in computer architecture research, providing a fast and reliable way to prototype and evaluate ideas for future computing systems. There are different types of simulators, from most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7714cbcdac95bdb33ff27b4ded704664
http://hdl.handle.net/2117/329999
http://hdl.handle.net/2117/329999
Autor:
Diego Caballero, Roger Ferrer, Marc Casas, Mateo Valero, Juan M. Cebrian, Helena Caminal, Xavier Martorell, Miquel Moreto
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Heterogeneity, parallelization and vectorization are key techniques to improve the performance and energy efficiency of modern computing systems. However, programming and maintaining code for these architectures poses a huge challenge due to the ever