1 citations · 1 across the 3 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…