A Case Study: Task Scheduling Methodologies for High Speed Computing Systems
For researchers in high-performance computing, this is a survey that identifies a gap in scheduling for HRCS, but it is incremental as it does not propose new methods or provide quantitative results.
This paper reviews various task scheduling methodologies for high-speed computing systems, comparing them based on platform and application attributes, and concludes that there is a need for scheduling methods tailored to Heterogeneous Reconfigurable Computing Systems (HRCS).
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.