Implementation and Evaluation of Quadruple Precision BLAS Functions on GPUs. - Daichi Mukunoki; Daisuke Takahashi (PARA (1), 2010)

Implementation and Evaluation of Triple Precision BLAS Subroutines on GPUs. - Daichi Mukunoki; Daisuke Takahashi (IPDPS Workshops, 2012)

Optimization of Sparse Matrix-Vector Multiplication for CRS Format on NVIDIA Kepler Architecture GPUs. - Daichi Mukunoki; Daisuke Takahashi (ICCSA (5), 2013)

Using Quadruple Precision Arithmetic to Accelerate Krylov Subspace Methods on GPUs. - Daichi Mukunoki; Daisuke Takahashi (PPAM (1), 2013)

Fast Implementation of General Matrix-Vector Multiplication (GEMV) on Kepler GPUs. - Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (PDP, 2015)

Reduced-Precision Floating-Point Formats on GPUs for High Performance and Energy Efficient Computation. - Daichi Mukunoki; Toshiyuki Imamura (CLUSTER, 2016)

Automatic Thread-Block Size Adjustment for Memory-Bound BLAS Kernels on GPUs. - Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (MCSoC, 2016)

Design Towards Modern High Performance Numerical LA Library Enabling Heterogeneity and Flexible Data Formats. - Toshiyuki Imamura; Daichi Mukunoki; Yusuke Hirota; Susumu Yamada; Masahiko Machida (PARCO, 2017)

Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer. - Daichi Mukunoki; Toshiyuki Imamura (PPAM (1), 2017)

Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. - Daichi Mukunoki; Toshiyuki Imamura (ICCS (3), 2018)

Design of an FPGA-Based Matrix Multiplier with Task Parallelism. - Yiyu Tan; Toshiyuki Imamura; Daichi Mukunoki (PARCO, 2019)

Reproducible BLAS Routines with Tunable Accuracy Using Ozaki Scheme for Many-Core Architectures. - Daichi Mukunoki; Takeshi Ogita; Katsuhisa Ozaki (PPAM (1), 2019)

DGEMM Using Tensor Cores, and Its Accurate and Reproducible Versions. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura (ISC, 2020)

Can We Avoid Rounding-Error Estimation in HPC Codes and Still Get Trustworthy Results? - Fabienne Jézéquel; Stef Graillat; Daichi Mukunoki; Toshiyuki Imamura; Roman Iakymchuk (VSTTE, 2020)

White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. - Roman Iakymchuk; Daichi Mukunoki; Artur Podobas; Fabienne Jézéquel; Toshiyuki Imamura; Norihisa Fujita; Jens Huthmann; Shuhei Kudo; Yiyu Tan; Jens Domke; Kai Torben Ohlhus; Takeshi Fukaya; et al. (CoRR, 2020)

Performance and energy consumption of accurate and mixed-precision linear algebra kernels on GPUs. - Daichi Mukunoki; Takeshi Ogita (J. Comput. Appl. Math., 2020)

Conjugate Gradient Solvers with High Accuracy and Bit-wise Reproducibility between CPU and GPU using Ozaki scheme. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Roman Iakymchuk (HPC Asia, 2021)

A Rapid Euclidean Norm Calculation Algorithm that Reduces Overflow and Underflow. - Takeyuki Harayama; Shuhei Kudo; Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (ICCSA (1), 2021)

Accurate Matrix Multiplication on Binary128 Format Accelerated by Ozaki Scheme. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura (ICPP, 2021)

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? - Jens Domke; Emil Vatai; Aleksandr Drozd; Peng Chen 035; Yosuke Oyama; Lingqi Zhang 001; Shweta Salaria; Daichi Mukunoki; Artur Podobas; Mohamed Wahib; Satoshi Matsuoka (IPDPS, 2021)

Task Scheduling Strategies for Batched Basic Linear Algebra Subprograms on Many-core CPUs. - Daichi Mukunoki; Yusuke Hirota; Toshiyuki Imamura (MCSoC, 2021)

Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura (PPAM (1), 2022)

Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor. - Daichi Mukunoki; Masatoshi Kawai; Toshiyuki Imamura (MCSoC, 2023)

Reduced-Precision and Reduced-Exponent Formats for Accelerating Adaptive Precision Sparse Matrix-Vector Product. - Stef Graillat; Fabienne Jézéquel; Théo Mary; Roméo Molina; Daichi Mukunoki (Euro-Par (3), 2024)

Performance evaluation and modelling of single-precision matrix multiplication on Cerebras CS-2. - Ryunosuke Matsuzaki; Daichi Mukunoki; Takaaki Miyajima (SC Workshops, 2024)

Performance Evaluation of Loop Body Splitting for Fast Modal Filtering in SCALE-DG on A64FX. - Xuanzhengbo Ren; Yuta Kawai; Hirofumi Tomita; Seiya Nishizawa; Takahiro Katagiri; Tetsuya Hoshino; Daichi Mukunoki; Masatoshi Kawai; Toru Nagai (HPC Asia Workshops, 2025)

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation. - Daichi Mukunoki; Shun-ichiro Hayashi; Tetsuya Hoshino; Takahiro Katagiri (CoRR, 2025)

Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach. - Tatsuro Hanyu; Takahiro Katagiri; Daichi Mukunoki; Tetsuya Hoshino (CoRR, 2025)

DGEMM without FP64 Arithmetic - Using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme. - Daichi Mukunoki (CoRR, 2025)