—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
In this study, we investigate the task scheduling problem in heterogeneous computing environments and propose a novel scheduling algorithm, called the Artificial Immune System wit...
In a real-time system, tasks are constrained by global endto-end (E-T-E) deadlines. In order to cater for high task schedulability, these deadlines must be distributed over compon...
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Abstract- The complexity of the static scheduling problem on heterogeneous resources has motivated the development of low complexity heuristics such as list scheduling. However, th...