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researcher

M. Lattuada

3 papers hereh-index 457.6k citations228 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cond-mat.soft1
same name
  • M. Lattuada — 1 paper, h 24

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 citedBreakup of dense colloidal aggregates under hydrodynamic stresses

120 citations · 120 across the 2 of their papers we have counts for

collaborators

3 papers

cs.DC2021

Machine Learning for Performance Prediction of Spark Cloud Applications

Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva +5

Big data applications and analytics are employed in many sectors for a variety of goals: improving customers satisfaction, predicting market behavior or improving processes in publ…

cs.DC2021

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS

Federica Filippini, Danilo Ardagna, Marco Lattuada +7

Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions. DL training jobs are highly resource demanding and t…

cond-mat.soft2009★ 120 cited

Breakup of dense colloidal aggregates under hydrodynamic stresses

A. Zaccone, M. Soos, M. Lattuada +2

Flow-induced aggregation of colloidal particles leads to aggregates with fairly high fractal dimension () which are directly responsible for the observed rheological properties of…

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