HarmonAIze proposes new cloud abstractions, split into micro- and macro-level control, to enable tenant-provider cooperation for more efficient and resilient AI workloads.
Ganger, and Eric P
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.DC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Cloud abstractions for AI workloads
HarmonAIze proposes new cloud abstractions, split into micro- and macro-level control, to enable tenant-provider cooperation for more efficient and resilient AI workloads.