A Case Study: Task Scheduling Methodologies for High Speed Computing Systems

TL;DR

This paper reviews various task scheduling methodologies for high speed computing systems, emphasizing the importance of optimized scheduling in heterogeneous and reconfigurable platforms to meet real-time computational demands.

Contribution

It provides a comprehensive review and comparative analysis of scheduling models for homogeneous and heterogeneous high speed computing systems, highlighting the need for new approaches in HRCS.

Findings

Comparative analysis based on execution time, task nature, and platform attributes

Summary chart illustrating differences among scheduling methodologies

Identifies the need for developing scheduling methods for HRCS

Abstract

High Speed computing meets ever increasing real-time computational demands through the leveraging of flexibility and parallelism. The flexibility is achieved when computing platform designed with heterogeneous resources to support multifarious tasks of an application where as task scheduling brings parallel processing. The efficient task scheduling is critical to obtain optimized performance in heterogeneous computing Systems (HCS). In this paper, we brought a review of various application scheduling models which provide parallelism for homogeneous and heterogeneous computing systems. In this paper, we made a review of various scheduling methodologies targeted to high speed computing systems and also prepared summary chart. The comparative study of scheduling methodologies for high speed computing systems has been carried out based on the attributes of platform & application as well. The attributes are execution time, nature of task, task handling capability, type of host & computing platform. Finally a summary chart has been prepared and it demonstrates that the need of developing scheduling methodologies for Heterogeneous Reconfigurable Computing Systems (HRCS) which is an emerging high speed computing platform for real time applications.