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Rio Yokota

Tokyo Institute of Technology

44 papers hereh-index 252.3k citations120 works total

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

author position
  • sole author1
  • first author9
  • middle author15
  • last author19

Across the 44 of 44 papers where every author was matched, so the position is known.

fields
  • math.NA13
  • cs.DC8
  • cs.CV7
  • cs.LG5
  • cs.MS2
  • cs.PF2
affiliations
  • Tokyo Institute of Technology
Homepage
same name
  • Rio Yokota — 17 papers, h 6
  • Rio Yokota — 6 papers, h 2
  • Rio Yokota — 6 papers, h 2
  • Rio Yokota — 5 papers, h 3
  • Rio Yokota — 4 papers, h 2
  • Rio Yokota — 1 paper

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
20092026
most citedPractical Deep Learning with Bayesian Principles

124 citations · 666 across the 43 of their papers we have counts for

collaborators
Showing 2014Show all

3 papers · 1 filter

cs.DC2014★ 5 cited

Communication Complexity of the Fast Multipole Method and its Algebraic Variants

Rio Yokota, George Turkiyyah, David Keyes

A combination of hierarchical tree-like data structures and data access patterns from fast multipole methods and hierarchical low-rank approximation of linear operators from H-matr…

cs.DC2014★ 5 cited

Asynchronous Execution of the Fast Multipole Method Using Charm++

Mustafa AbdulJabbar, Rio Yokota, David Keyes

Fast multipole methods (FMM) on distributed mem- ory have traditionally used a bulk-synchronous model of com- municating the local essential tree (LET) and overlapping it with comp…

cs.DC2014★ 3 cited

A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms

Huda Ibeid, Rio Yokota, David Keyes

Exascale systems are predicted to have approximately one billion cores, assuming Gigahertz cores. Limitations on affordable network topologies for distributed memory systems of suc…

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