We present Topaz, a new task-based language for computations thatexecute on approximate computing platforms that may occasion-ally produce arbitrarily inaccurate results. The Topaz implementa-tion maps approximate tasks onto the approximate machine and in-tegrates the approximate results into the main computation, deploy-ing a novel outlier detection and reliable reexecution...

The maturation of energy-harvesting technology and ultra-low-power computer systems has led to the advent of intermittently-powered, batteryless devices that operate entirely using energy extracted from their environment. Intermittently operating devices present a rich vein of programming languages research challenges and the purpose of this paper is to illustrate these challenges to the PL res...

Empirical Dynamic Modeling (EDM) is a mathematical framework for modeling and predicting non-linear time series data. Although EDM increasingly adopted in various research fields, its application to large-scale data has been limited due high computational cost. This article presents kEDM, high-performance implementation of analyzing datasets. kEDM adopts the Kokkos performance-portable programm...

In this paper, we first devise two algorithms to determine whether or not a bimatrix game has strategically equivalent zero-sum game. If so, propose an algorithm that computes the given is game, then approach compute whose saddle-point equilibrium can be mapped well-supported approximate Nash of original We conduct extensive numerical simulation establish efficacy algorithms.

The articles in this issue are divided into two groups: 1) the first group comprises Special Issue on Approximate Computing: Challenges, Methodologies, Algorit...