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researcher

Mostafa Mahmoud

8 papers hereh-index 12622 citations29 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.AR4
  • cs.LG2
  • cs.NE2

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedTensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference

80 citations · 136 across the 7 of their papers we have counts for

collaborators
Showing cs.NEShow all

2 papers · 1 filter

cs.NE2018★ 2 cited

Laconic Deep Learning Computing

Sayeh Sharify, Mostafa Mahmoud, Alberto Delmas Lascorz +2

We motivate a method for transparently identifying ineffectual computations in unmodified Deep Learning models and without affecting accuracy. Specifically, we show that if we deco…

cs.NE2018★ 18 cited

Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How

Alberto Delmas, Patrick Judd, Dylan Malone Stuart +5

We show that, during inference with Convolutional Neural Networks (CNNs), more than 2x to $8x ineffectual work can be exposed if instead of targeting those weights and activations…

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