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Negar Alizadeh

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.SE1
ORCID 0009-0005-8155-165X
same name
  • Negar Alizadeh — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedGreen AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures

28 citations · 28 across the 1 of their papers we have counts for

collaborators

1 paper

cs.SE2024★ 28 cited

Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures

Negar Alizadeh, Fernando Castor

Deep Learning (DL) frameworks such as PyTorch and TensorFlow include runtime infrastructures responsible for executing trained models on target hardware, managing memory, data tran…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.