Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Damian Borowiec"'
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 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
Autor:
Rachel Bergmann, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla Wong, Abigail Sellen
Publikováno v:
Computer supported cooperative work : CSCW : an international journal.
When COVID-19 led to mandatory working from home, significant blind spots in supporting the sociality of working life—in the moment and over time—were revealed in enterprise video meetings, and these were a key factor in reports about videoconfer
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
Autor:
Nancy K. Baym, Sean Rintel, Damian Borowiec, Danielle Bragg, Rachel Bergmann, Abigail Sellen, Sharon Gillett, Advait Sarkar
Publikováno v:
CHI Extended Abstracts
We report the opportunities and challenges of parallel chat in work-related video meetings, drawing on a study of Microsoft employees’ remote meeting experiences during the COVID-19 pandemic. We find that parallel chat allows groups to communicate
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783030602383
ICA3PP (2)
ICA3PP (2)
Deep Learning (DL) models are deployed as jobs within machines containing GPUs. These DL systems - ranging from a singular GPU device to machine clusters - require state-of-the-art resource management to increase resource utilization and job throughp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f172ea019386d7007a1ea5e83799769
https://doi.org/10.1007/978-3-030-60239-0_33
https://doi.org/10.1007/978-3-030-60239-0_33