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Fareed Qararyah

Chalmers University of Technology, Koc University

5 papers hereh-index 668 citations13 works total

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

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AR3
  • cs.DC1
  • cs.PF1
affiliations
  • Chalmers University of Technology, Koc University
same name
  • Fareed Qararyah — 1 paper, h 0

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

activity
20202025
most citedVEDLIoT: Very Efficient Deep Learning in IoT

13 citations · 32 across the 5 of their papers we have counts for

collaborators
Showing cs.ARShow all

3 papers · 1 filter

cs.AR2025

An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators

Fareed Qararyah, Mohammad Ali Maleki, Pedro Trancoso

Convolutional Neural Networks (CNNs) serve various applications with diverse performance and resource requirements. Model-aware CNN accelerators best address these diverse requirem…

cs.AR2023★ 10 cited

VEDLIoT -- Next generation accelerated AIoT systems and applications

Kevin Mika, René Griessl, Nils Kucza +29

The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propo…

cs.AR2022★ 13 cited

VEDLIoT: Very Efficient Deep Learning in IoT

Martin Kaiser, Rene Griessl, Nils Kucza +33

The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also deali…

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