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R. Matsumiya

3 papers hereh-index 9359 citations83 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.LG1
  • physics.acc-ph1
  • physics.ins-det1
same name
  • R. Matsumiya — 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

most citedProfiling based Out-of-core Hybrid Method for Large Neural Networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 1 cited

Profiling based Out-of-core Hybrid Method for Large Neural Networks

Yuki Ito, Haruki Imai, Tung Le Duc +4

GPUs are widely used to accelerate deep learning with NNs (NNs). On the other hand, since GPU memory capacity is limited, it is difficult to implement efficient programs that compu…

physics.acc-ph2019

A fast-switching magnet serving a spallation-driven ultracold neutron source

S. Ahmed, E. Altiere, T. Andalib +47

A fast-switching, high-repetition-rate magnet and power supply have been developed for and operated at TRIUMF, to deliver a proton beam to the new ultracold neutron (UCN) facility.…

physics.ins-det2018

First ultracold neutrons produced at TRIUMF

S. Ahmed, E. Altiere, T. Andalib +50

We installed a source for ultracold neutrons at a new, dedicated spallation target at TRIUMF. The source was originally developed in Japan and uses a superfluid-helium converter co…

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