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,
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
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
Publikováno v:
2022 IEEE 15th International Conference on Cloud Computing (CLOUD).
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
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
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
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
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