Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Peter Garraghan"'
Publikováno v:
Frontiers in Sustainability, Vol 3 (2023)
Today's data centers use substantial amounts of the world's electrical supply. However, in line with circular economy concepts, much of this energy can be reused. Such reuse includes the heating of buildings, but also commodity dehydration, electrici
Externí odkaz:
https://doaj.org/article/4fdf84ea41524ac297004c6d5e5e2682
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. :1-12
The heterogeneity of Deep Learning models, libraries, and hardware poses an important challenge for improving model inference performance. Auto-tuners address this challenge via automatic tensor program optimization towards a target-device. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::271616da3903775ab7341df36071c6f0
https://doi.org/10.1109/tpds.2023.3279233
https://doi.org/10.1109/tpds.2023.3279233
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 19:1783-1794
Cloud providers attempt to maintain the highest levels of isolation between Virtual Machines (VMs) and inter-user processes to keep co-located VMs and processes separate. This logical isolation creates an internal virtual network to separate VMs co-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::588fdef73a72be14f9f4ddddc4bf792b
https://doi.org/10.1109/tdsc.2020.3037022
https://doi.org/10.1109/tdsc.2020.3037022
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:88-100
To accelerate the training of Deep Learning (DL) models, clusters of machines equipped with hardware accelerators such as GPUs are leveraged to reduce execution time. State-of-the-art resource managers are needed to increase GPU utilization and maxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::653e6f1f5c7ad75cc956184b534df700
https://doi.org/10.1109/tpds.2021.3079202
https://doi.org/10.1109/tpds.2021.3079202
Publikováno v:
2022 IEEE 15th International Conference on Cloud Computing (CLOUD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c97cb919441c2103579caa2922382d8
https://doi.org/10.1109/cloud55607.2022.00061
https://doi.org/10.1109/cloud55607.2022.00061
Publikováno v:
Fog and Fogonomics
This chapter presents a scalable software‐defined orchestration architecture to intelligently compose and orchestrate thousands of heterogeneous Fog appliances (devices, servers). Specifically, it provides a resource filtering‐based resource assi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f32ccb93abbc5d629b33c754d6241f22
https://doi.org/10.1002/9781119501121.ch8
https://doi.org/10.1002/9781119501121.ch8
Deep learning and artificial intelligence are often viewed as panacea technologies — ones which can decarbonise many industries. But what is the carbon cost of these systems? Damian Borowiec, Richard R. Harper and Peter Garraghan discuss.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54fe29689d4d2d1871e745fad52a551b
https://doi.org/10.1093/itnow/bwab099
https://doi.org/10.1093/itnow/bwab099
Autor:
Adam Eiffert, Nicholas Race, Awais Rashid, Peter Garraghan, Joseph Gardiner, Shishir Nagaraja
Publikováno v:
CPSIOTSEC@CCS
Programmable networks are an area of increasing research activity and real-world usage. The most common example of programmable networks is software defined networking (SDN), in which the control and data planes are separated, with switches only acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d6ba4bb7fa4e771b3a6d9ab70ec0fc
https://doi.org/10.1145/3462633.3483979
https://doi.org/10.1145/3462633.3483979
Publikováno v:
2021 IEEE International Conference on Joint Cloud Computing (JCC).
Federated clusters are composed of multiple independent clusters of machines interconnected by a resource management system, and possess several advantages over centralized cloud datacenter clusters including seamless provisioning of applications acr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e73e854e416ff6030f6d6383260b414
https://doi.org/10.1109/jcc53141.2021.00019
https://doi.org/10.1109/jcc53141.2021.00019
Publikováno v:
Journal of Systems and Software. 154:125-138
There is a growing requirement for Internet of Things (IoT) infrastructure to ensure low response time to provision latency-sensitive real-time applications such as health monitoring, disaster management, and smart homes. Fog computing offers a means
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3e063ed0589e581cd19dbcac8c47c12
https://doi.org/10.1016/j.jss.2019.04.058
https://doi.org/10.1016/j.jss.2019.04.058