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20132026
most citedAccelerated Multiple Precision Matrix Multiplication using Strassen's Algorithm and Winograd's Variant

9 citations · 30 across the 18 of their papers we have counts for

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7 papers · 1 filter

math.NA2026

A Branch-Free General Renormalization Scheme for Pair Arithmetic and Its Performance Evaluation

Tomonori Kouya

Pair arithmetic omits the renormalization stage performed at the end of each operation of multi-component multiple-precision arithmetic, reducing the operation count and, by elimin…

math.NA2026

Performance Evaluation of an Adaptive Quadrature and a Double Exponential Formula Using Arbitrary-Precision Floating-Point Arithmetic

Tomonori Kouya

Using arbitrary-precision arithmetic provided by the GNU Multiple Precision Floating-Point Reliable Library, we implement AQE11D---that is, Ninomiya's adaptive 9-point Newton--Cote…

math.NA2026

Accelerating Multiple-Precision LU Decomposition with Ozaki Scheme II

Tomonori Kouya

Solving ill-conditioned linear systems needs LU decomposition in precisions beyond binary64. The standard approaches -- GMP/MPFR, or multi-component arithmetic such as double-doubl…

math.NA2026

Ozaki Scheme II Is Fast on CPUs Too: Multiple-Precision Matrix Multiplication on Intel AMX-INT8 and Arm SVE2-i8mm

Tomonori Kouya

We implement Ozaki Scheme II (residue number system + Chinese remainder theorem), which reduces multiple-precision dense matrix multiplication to a sequence of low-precision, high-…

math.NA2026

Performance evaluation of branch-free fused multiply-add algorithms for multi-component-type multiple-precision floating-point arithmetic

Tomonori Kouya

Multicomponent multiple-precision arithmetic is constructed from existing floating-point operations using error-free transformations (EFTs). Its performance can be improved by empl…

cs.MS2026

Construction and Performance Evaluation of an Arbitrary-Precision Floating-Point Arithmetic Environment on CUDA

Tomonori Kouya

Arbitrary-precision floating-point arithmetic is used to solve ill-conditioned problems in scientific computing, and MPFR and MPC have become the de facto standard libraries for CP…

cs.MS2026

Acceleration of multi-component multiple-precision arithmetic with branch-free algorithms and SIMD vectorization

Tomonori Kouya

Multiple-precision floating-point branch-free algorithms can significantly accelerate multi-component arithmetic implemented by combining hardware-based binary64 and binary32, part…