Acceleration of Multiple Precision Matrix Multiplication using Ozaki scheme

01/24/2023
by   Taiga Utsugiri, et al.
0

Optimized multiple precision basic linear computation, especially matrix multiplication, is crucial for solving ill-conditioned problems. The recently proposed Ozaki scheme, which implements accurate matrix multiplication using existing optimized low precision matrix multiplication, is known to be useful for multiple precision as well. In this paper, we implement fixed precision multi-component-way matrix multiplication using Ozaki scheme and show that in some cases it is faster than existing optimized matrix multiplications. We also show that arbitrary precision matrix multiplication using Ozaki scheme is also faster than Strassen matrix multiplication up to a certain precision.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/12/2023

Acceleration of complex matrix multiplication using arbitrary precision floating-point arithmetic

Efficient multiple precision linear numerical computation libraries such...
research
10/05/2017

Tuning Technique for Multiple Precision Dense Matrix Multiplication using Prediction of Computational Time

Although reliable long precision floating-point arithmetic libraries suc...
research
11/18/2019

General Matrix-Matrix Multiplication Using SIMD features of the PIII

Generalised matrix-matrix multiplication forms the kernel of many mathem...
research
03/24/2021

Accelerating Sparse Approximate Matrix Multiplication on GPUs

Although the matrix multiplication plays a vital role in computational l...
research
07/04/2023

Matrix Multiplication Using Only Addition

Matrix multiplication consumes a large fraction of the time taken in man...
research
08/15/2022

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Large language models have been widely adopted but require significant G...
research
01/17/2019

Supporting mixed-datatype matrix multiplication within the BLIS framework

We approach the problem of implementing mixed-datatype support within th...

Please sign up or login with your details

Forgot password? Click here to reset