Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Lev Mukhanov"'
Autor:
Ioannis Tsiokanos, Styliani Tompazi, Giorgis Georgakoudis, Lev Mukhanov, Georgios Karakonstantis
Publikováno v:
IEEE Transactions on Computers. 72:1026-1040
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9adb281244b76397335d6504c6a6d88
https://doi.org/10.1109/tc.2022.3191966
https://doi.org/10.1109/tc.2022.3191966
Autor:
Umar Ibrahim Minhas, JunKyu Lee, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger Woods
Publikováno v:
Minhas, U, Lee, J, Mukhanov, L, Karakonstantis, G, Vandierendonck, H & Woods, R 2022, ' Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge ', Journal of Signal Processing Systems, vol. 94, pp. 1101-1118 .
The practical deployment of machine vision presents particular challenges for resource constrained edge devices. With a clear need to execute multiple tasks with variable workloads, there is a need for a robust approach that can dynamically adapt at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b048905dff6b270df501ac9da7b77859
https://doi.org/10.1007/s11265-022-01784-1
https://doi.org/10.1007/s11265-022-01784-1
Autor:
Konstantinos Tovletoglou, Georgios Karakonstantis, Dimitrios S. Nikolopoulos, Lev Mukhanov, Hans Vandierendonck
Publikováno v:
Mukhanov, L, Tovletoglou, K, Vandierendonck, H, Nikolopoulos, D & Karakonstantis, G 2020, ' Revealing DRAM Operating GuardBands through Workload-Aware Error Predictive Modeling ', IEEE Transactions on Computers . https://doi.org/10.1109/TC.2020.3033627
Improving the energy efficiency of DRAMs becomes very challenging due to the growing demand for storage capacity and failures induced by the manufacturing process. To protect against failures, vendors adopt conservative margins in the refresh period
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19ffe935025586b5bd50a8b49f94287d
https://doi.org/10.1109/tc.2020.3033627
https://doi.org/10.1109/tc.2020.3033627
Autor:
Panagiota Nikolaou, Yiannakis Sazeides, Alejandro Lampropulos, Denis Guilhot, Andrea Bartoli, George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Konstantinos Tovletoglou, Lev Mukhanov, Georgios Karakonstantis, Marios Kleanthous, Arnau Prat
Publikováno v:
Computing at the EDGE ISBN: 9783030745356
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::156d0f917fec91c39dee043325d1a9c1
https://doi.org/10.1007/978-3-030-74536-3_6
https://doi.org/10.1007/978-3-030-74536-3_6
Autor:
Lev Mukhanov, Georgios Karakonstantis
Publikováno v:
Computing at the EDGE ISBN: 9783030745356
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e49461c325f61e9214b4dd1b9d763d2c
https://doi.org/10.1007/978-3-030-74536-3_5
https://doi.org/10.1007/978-3-030-74536-3_5
Publikováno v:
SiPS
Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads. A robust approach that can dynamically adapt in runtime while maintaining the maximum quality of servi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52109e879bcc412d0ad479b62660148f
https://doi.org/10.1109/sips52927.2021.00044
https://doi.org/10.1109/sips52927.2021.00044
Brain-Computer Interfaces (BCIs) enable converting the brain electrical activity of an interface user to the user commands. BCI research studies demonstrated encouraging results in different areas such as neurorehabilitation, control of artificial li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd6441ca3a5dd0d48d0f61b73f5fe67
Autor:
Georgios Karakonstantis, Nikolaos Bellas, Christos Kalogirou, Spyros Lalis, Christos D. Antonopoulos, Lev Mukhanov
Publikováno v:
CCGRID
Kalogirou, C, Antonopoulos, C D, Bellas, N, Lalis, S, Mukhanov, L & Karakonstantis, G 2020, Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins . in The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020): Proceedings . Institute of Electrical and Electronics Engineers Inc., pp. 549-558, The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020), Melbourne, Australia, 11/05/2020 . https://doi.org/10.1109/CCGrid49817.2020.00-38
Kalogirou, C, Antonopoulos, C D, Bellas, N, Lalis, S, Mukhanov, L & Karakonstantis, G 2020, Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins . in The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020): Proceedings . Institute of Electrical and Electronics Engineers Inc., pp. 549-558, The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020), Melbourne, Australia, 11/05/2020 . https://doi.org/10.1109/CCGrid49817.2020.00-38
Energy reduction is a key objective in cloud computing, and DRAM memories are responsible for an important amount of the energy consumption of data center nodes. Vendors adopt very conservative margins for DRAM operating parameters, such as the refre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::834445038be519760156b795d1d7fac8
https://doi.org/10.1109/ccgrid49817.2020.00-38
https://doi.org/10.1109/ccgrid49817.2020.00-38
Publikováno v:
Tovletoglou, K, Mukhanov, L, Nikolopoulos, D S & Karakonstantis, G 2020, HaRMony: Heterogeneous-Reliability Memory and QoS-Aware Energy Management on Virtualized Servers . in ASPLOS '20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems . ACM, pp. 575-590, The 25-th Architectural Support for Programming Languages and Operating Systems(ASPLOS), 23/03/2020 . https://doi.org/10.1145/3373376.3378489
Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
ASPLOS
Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
ASPLOS
The explosive growth of data increases the storage needs, especially within servers, making DRAM responsible for more than 40% of the total system power. Such a reality has made researchers focus on energy saving schemes that relax the pessimistic DR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a16ed86184f72768ea81135f9ee120b
https://pure.qub.ac.uk/en/publications/harmony-heterogeneousreliability-memory-and-qosaware-energy-management-on-virtualized-servers(7299866e-bc41-4ae2-aa8c-6b503b7769a6).html
https://pure.qub.ac.uk/en/publications/harmony-heterogeneousreliability-memory-and-qosaware-energy-management-on-virtualized-servers(7299866e-bc41-4ae2-aa8c-6b503b7769a6).html
Publikováno v:
Tovletoglou, K, Mukhanov, L, Nikolopoulos, D & Karakonstantis, G 2019, ' Shimmer: Implementing a Heterogeneous-Reliability DRAM Framework on a Commodity Server ', IEEE Computer Architecture Letters, vol. 18, no. 1, pp. 26-29 . https://doi.org/10.1109/LCA.2019.2893189
In this paper, we present the implementation of a heterogeneous-reliability DRAM framework, Shimmer , on a commodity server with a fully fledged OS. Shimmer enables splitting of DRAM into multiple domains with varying reliability and allocation of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c17a09622999ecb33c9ed355b27c959
https://pure.qub.ac.uk/en/publications/shimmer-implementing-a-heterogeneousreliability-dram-framework-on-a-commodity-server(c1b3eafa-7b3c-4e85-85ee-c9fe21897c2c).html
https://pure.qub.ac.uk/en/publications/shimmer-implementing-a-heterogeneousreliability-dram-framework-on-a-commodity-server(c1b3eafa-7b3c-4e85-85ee-c9fe21897c2c).html