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researcher

Maho Nakata

4 papers here

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

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • physics.chem-ph2
ORCID 0000-0002-5430-841X
same name
  • Maho Nakata — 6 papers, h 18
  • Maho Nakata — 2 papers

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 citedEvaluation of POSIT Arithmetic with Accelerators

7 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DC2024★ 7 cited

Evaluation of POSIT Arithmetic with Accelerators

Naohito Nakasato, Yuki Murakami, Fumiya Kono +1

We present an evaluation of 32-bit POSIT arithmetic through its implementation as accelerators on FPGAs and GPUs. POSIT, a floating-point number format, adaptively changes the size…

cs.DC2023★ 1 cited

Accelerating 128-bit Floating-Point Matrix Multiplication on FPGAs

Fumiya Kono, Naohito Nakasato, Maho Nakata

General Matrix Multiplication (GEMM) is a fundamental operation widely used in scientific computations. Its performance and accuracy significantly impact the performance and accura…

physics.chem-ph2023★ 5 cited

PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86 Million Molecules using B3LYP/6-31G* calculations

Maho Nakata, Toshiyuki Maeda

This article presents the "PubChemQC B3LYP/6-31G*//PM6" dataset, containing electronic properties of 85,938,443 molecules. It includes orbitals, orbital energies, total energies, d…

physics.chem-ph2023

3D Molecular Geometry Analysis with 2D Graphs

Zhao Xu, Yaochen Xie, Youzhi Luo +7

Ground-state 3D geometries of molecules are essential for many molecular analysis tasks. Modern quantum mechanical methods can compute accurate 3D geometries but are computationall…

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