10 citations · 16 across the 7 of their papers we have counts for
7 papers
Double-Precision Matrix Multiplication Emulation via Ozaki-II Scheme with FP8 Quantization
Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura
In this paper, we propose a method for emulating double-precision general matrix--matrix multiplication (DGEMM), a fundamental and performance-critical kernel in many high-performa…
Iterative Refinement for a Subset of Eigenvectors of Symmetric Matrices via Matrix Multiplications
Takeshi Terao, Katsuhisa Ozaki, Toshiyuki Imamura +1
We develop an iterative refinement method that improves the accuracy of a user-chosen subset of eigenvectors () of an real symmetric matrix. Using an orthog…
Error Analysis of Matrix Multiplication Emulation Using Ozaki-II Scheme
Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura
The Ozaki-II scheme is an emulation method that leverages the Chinese Remainder Theorem to compute high-precision matrix multiplication via a sequence of low-precision matrix multi…
Emulation of Complex Matrix Multiplication based on the Chinese Remainder Theorem
Yuki Uchino, Qianxiang Ma, Toshiyuki Imamura +2
Modern computing architectures feature low-precision matrix multiplication units that achieve substantially higher throughput than their high-precision counterparts. Motivated by t…
High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines
Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura
Recent architectures integrate high-performance and power-efficient matrix engines. These engines demonstrate remarkable performance in low-precision matrix multiplication, which i…
Ozaki Scheme II: A GEMM-oriented emulation of floating-point matrix multiplication using an integer modular technique
Katsuhisa Ozaki, Yuki Uchino, Toshiyuki Imamura
This paper addresses emulation algorithms for matrix multiplication. General Matrix-Matrix Multiplication (GEMM), a fundamental operation in the Basic Linear Algebra Subprograms (B…
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…