activity
20192025
most citedPerformance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit

10 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MS2025

Sparse Iterative Solvers Using High-Precision Arithmetic with Quasi Multi-Word Algorithms

Daichi Mukunoki, Katsuhisa Ozaki

To obtain accurate results in numerical computation, high-precision arithmetic is a straightforward approach. However, most processors lack hardware support for floating-point form…

cs.DC2024★ 10 cited

Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit

Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura

This study was aimed at simultaneously achieving sufficient accuracy and high performance for general matrix multiplications. Recent architectures, such as NVIDIA GPUs, feature hig…

cs.CG2024

Polygonal Sequence-driven Triangulation Validator: An Incremental Approach to 2D Triangulation Verification

Sora Sawai, Kazuaki Tanaka, Katsuhisa Ozaki +1

Two-dimensional Delaunay triangulation is a fundamental aspect of computational geometry. This paper presents a novel algorithm that is specifically designed to ensure the correctn…

cs.DC2023★ 1 cited

DGEMM on Integer Matrix Multiplication Unit

Hiroyuki Ootomo, Katsuhisa Ozaki, Rio Yokota

Deep learning hardware achieves high throughput and low power consumption by reducing computing precision and specializing in matrix multiplication. For machine learning inference,…

physics.comp-ph2019★ 6 cited

An a posteriori verification method for generalized real-symmetric eigenvalue problems in large-scale electronic state calculations

Takeo Hoshi, Takeshi Ogita, Katsuhisa Ozaki +1

An a posteriori verification method is proposed for the generalized real-symmetric eigenvalue problem and is applied to densely clustered eigenvalue problems in large-scale electro…