We review the PDE methods for image processing developed at the Ceremade, the
Universitat de Illes Balears, and the Universidad de Las Palmas de Gran Canaria. We first …

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 …

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 …

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 …

As the use of virtual machine environments increases, virtual machines forensics is
becoming more and more important and emergent. Current forensics solutions to virtualized …

In this paper, we propose an effective kernel implementation for an application of the finite
difference method (FDM) by merging computations of central-difference and explicit time …

ppOpen-AT is a domain-specific language designed to ease the workload for developers
creating libraries with auto-tuning (AT) capabilities. It consists of a set of directives that allow …