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researcher

E. Azarkhish

2 papers hereh-index 8301 citations18 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AR2

identity via Semantic Scholar / OpenAlex

most citedNeurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes

76 citations · 76 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AR2021

A Construction Kit for Efficient Low Power Neural Network Accelerator Designs

Petar Jokic, Erfan Azarkhish, Andrea Bonetti +3

Implementing embedded neural network processing at the edge requires efficient hardware acceleration that couples high computational performance with low power consumption. Driven…

cs.AR2017★ 76 cited

Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes

Erfan Azarkhish, Davide Rossi, Igor Loi +1

High-performance computing systems are moving towards 2.5D and 3D memory hierarchies, based on High Bandwidth Memory (HBM) and Hybrid Memory Cube (HMC) to mitigate the main memory…

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