Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Martin Molan"'
Autor:
Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Supercomputers are the most powerful computing machines available to society. They play a central role in economic, industrial, and societal development. While they are used by scientists, engineers, decision-makers, and data-analyst to comp
Externí odkaz:
https://doaj.org/article/405eefb09aee4dd88afc242bce562535
Publikováno v:
IEEE Access, Vol 11, Pp 115599-115616 (2023)
The gap between software development requirements and available resources of software developers continues to widen. This requires changes in the development and organization of software development. This study introduced a quantitative software deve
Externí odkaz:
https://doaj.org/article/6c42fa7d2c5f4cf19387b17214c2dcb7
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b988da4554bf27c9a30ab71e4ed8d8bc
https://doi.org/10.1145/3578245.3585335
https://doi.org/10.1145/3578245.3585335
Publikováno v:
Future Generation Computer Systems, 141
The increasing complexity of modern high-performance computing (HPC) systems necessitates the introduction of automated and data-driven methodologies to support system administrators’ effort towards increasing the system's availability. Anomaly det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e9aaff821fe834e6d7549f5cbafae08
https://hdl.handle.net/20.500.11850/589512
https://hdl.handle.net/20.500.11850/589512
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:739-750
In their quest toward Exascale, High Performance Computing (HPC) systems are rapidly becoming larger and more complex, together with the issues concerning their maintenance. Luckily, many current HPC systems are endowed with data monitoring infrastru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2018f3ccb88a23ac56e0b8ee17389e7
https://doi.org/10.1109/tpds.2021.3082802
https://doi.org/10.1109/tpds.2021.3082802
Publikováno v:
Euro-Par 2022: Parallel Processing Workshops ISBN: 9783031312083
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deda0bd1e0c9f9b2bfaf2deae6c86dfb
https://doi.org/10.1007/978-3-031-31209-0_24
https://doi.org/10.1007/978-3-031-31209-0_24
Publikováno v:
CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers
Automated and data-driven methodologies are being introduced to assist system administrators in managing increasingly complex modern HPC systems. Anomaly detection (AD) is an integral part of improving the overall availability as it eases the system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a4d97cf1c951cbd0e382784da774271
https://hdl.handle.net/20.500.11850/557057
https://hdl.handle.net/20.500.11850/557057
Publikováno v:
Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings
Lecture Notes in Computer Science, 13440
Euro-Par 2022: Parallel Processing
Euro-Par 2022: Parallel Processing ISBN: 9783031125966
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Euro-Par 2022: Parallel Processing
Lecture Notes in Computer Science, 13440
Euro-Par 2022: Parallel Processing
Euro-Par 2022: Parallel Processing ISBN: 9783031125966
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Euro-Par 2022: Parallel Processing
Anomaly detection systems are vital in ensuring the availability of modern High-Performance Computing (HPC) systems, where many components can fail or behave wrongly. Building a data-driven representation of the computing nodes can help with predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13fd0ec164926a4266b9d5e0e3d78b51
Autor:
Martin Molan
This report describes the implementation of the data pre-processing for a novel anomaly detection technique. Proposed anomaly detection technique is based on using stochastic matrices as input for convolutional neural networks. Pre-processing step tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a308f839ecd2992ad233f2bce4a3a794