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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-23
DOI
https://doi.org/10.5281/zenodo.15266116
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Distributed and Parallel Computing Systems
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Christ University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Distributed and Parallel Computing Systems
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