Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Antoni Portero"'
Publikováno v:
Sensors, Vol 18, Iss 7, p 2330 (2018)
The rapid evolution of Cloud-based services and the growing interest in deep learning (DL)-based applications is putting increasing pressure on hyperscalers and general purpose hardware designers to provide more efficient and scalable systems. Cloud-
Externí odkaz:
https://doaj.org/article/598d755211df4f588702ab4c6fb74992
Publikováno v:
The Journal of Supercomputing.
Applications running in a large and complex manycore system can significantly benefit from adopting the dataflow model of computation. In a dataflow execution environment, a thread can run only if all its required inputs are available. While the pote
Publikováno v:
Journal of Communications. :340-346
Autor:
William Fornaciari, Antoni Portero, Alessandro Bacchini, Zacharias Hadjilambrou, Fritsch Agnes, Martin Golasowski, Michail Noltsis, Francky Catthoor, Panayiotis Englezakis, Stepan Kuchar, Jiri Sevcik, Giuseppe Massari, Radim Vavrik, Vít Vondrák, Hans Cappelle, Nikolaos Zompakis, Simone Libutti, Panagiota Nikolaou, Dimitrios Soudris, Yiannakis Sazeides, Chrysostomos Nicopoulos, Federico Sassi, Lorena Ndreu
Publikováno v:
Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms ISBN: 9783319919614
The goal of the HARPA solution is to overcome the performance variability (PV) by enabling next-generation embedded and high-performance platforms using heterogeneous many-core processors to provide cost-effectively dependable performance: the correc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::505601376adf94b82a3e1baa09ea9ddd
http://hdl.handle.net/11311/1066938
http://hdl.handle.net/11311/1066938
Autor:
Panayiotis Englezakis, Radim Vavrik, Vít Vondrák, Zacharias Hadjilambrou, Panagiota Nikolaou, Yiannakis Sazeides, Antoni Portero, Chrysostomos Nicopoulos, Lorena Ndreu
Publikováno v:
Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms ISBN: 9783319919614
This chapter evaluates and defines a methodology for the oracle selection of the monitors and knobs to use to configure an HPC system running a scientific application while satisfying the application’s requirements and not violating any system cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327c4674d5be7e713b36cc919fc529b9
https://doi.org/10.1007/978-3-319-91962-1_8
https://doi.org/10.1007/978-3-319-91962-1_8
Autor:
Martin Golasowski, Stepan Kuchar, William Fornaciari, Antoni Portero, Vít Vondrák, Radim Vavrik, Simone Libutti, Giuseppe Massari, Jiri Sevcik
Publikováno v:
Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms ISBN: 9783319919614
This chapter is centered around uncertainty computation with on-demand resource allocation for run-off prediction in a High-Performance Computer environment. Our research stands on a runtime operating system that automatically adapts resource allocat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80aef9f1f8af3e43d6280e078183c01a
https://doi.org/10.1007/978-3-319-91962-1_12
https://doi.org/10.1007/978-3-319-91962-1_12
Publikováno v:
Sensors, Vol 18, Iss 7, p 2330 (2018)
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 7
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 7
The rapid evolution of Cloud-based services and the growing interest in deep learning (DL)-based applications is putting increasing pressure on hyperscalers and general purpose hardware designers to provide more efficient and scalable systems. Cloud-
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783319999531
CISIM
CISIM
Embedded multimedia devices need to be more and more energy efficient while dealing with applications of increasing complexity. These applications are characterised by having complex array index manipulation, a large number of data accesses and requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab0fe2246e984973120591a4e36db0b8
https://doi.org/10.1007/978-3-319-99954-8_35
https://doi.org/10.1007/978-3-319-99954-8_35
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319615653
CISIS
CISIS
The growing demand for high-performance capabilities in data centers (DCs) leads to adopt heterogeneous solutions. The advantage of specialised hardware is a better support for different types of workloads, and a reduction of the power consumption. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7978bb34b3a801f7241a352f1a8fa2dd
https://doi.org/10.1007/978-3-319-61566-0_37
https://doi.org/10.1007/978-3-319-61566-0_37
Publikováno v:
HPCS
Continuous demand for higher performance is adding more pressure on hardware designers to provide faster machines with low energy consumption. Recent technological advancements allow placing a group of silicon dies on top of a conventional interposer