In this article, we introduce a cache-oblivious method for sparse matrix–vector multiplication.
Our method attempts to permute the rows and columns of the input matrix using a recursive …

This paper introduces current research on automatic performance tuning, specifically in the
Japanese community, from two aspects. First, we discuss autotuning (AT) research from the …

In this paper, we focus on auto-tuning (AT) performance on nonuniform memory access
(NUMA) and many-core architectures. Code from the finite difference method (FDM) is …

This paper presents results on development of the auto-tuning framework named
TuningGenie aimed at automating adjustment of parallel tasks to target platform. The …

In this paper, we present a directive-based auto-tuning (AT) framework, called ppOpen-AT,
and demonstrate its effect using simulation code based on the Finite Difference Method …

This paper is interested in reward maximization of periodic real-time tasks under a given
energy constraint, where the reward received depends on how much computation a task …

In this paper, we propose an Auto-tuning (AT) function with an AT language for a dedicated
numerical library with respect to supercomputers in operation. The AT function is based on …

In automatic performance tuning (AT), a primary aim is to optimize performance parameters
that are suitable for certain computational environments in ordinary mathematical libraries …

We present a code optimization technique by adapting an auto-tuning (AT) function to an
explicit method with the static code generator FIBER. The AT function is evaluated with …

Mixed-precision computation is a promising method for substantially increasing the speed of
numerical computations. However, using mixed-precision data is a double-edged sword …