The task scheduling problem on heterogeneous computing systems has been broadly
studied, and many heuristic algorithms are proposed to solve this problem. It is interesting to …

In multiprocessor environments, the scheduling algorithms play a significant role in
maximizing system performance. In this paper, we propose a clustering‐based task …

Efficient scheduling is critical for achieving improved performance of distributed applications
where an application is to be considered as a group of interrelated tasks and represented by …

SPIRE is a new methodology for the design of parallel extensions of the intermediate repre-
sentations used in compilation frameworks of sequential languages. It can be used to …

This thesis intends to show how to efficiently exploit the parallelism present in applications in
order to enjoy the performance benefits that multiprocessors can provide, using a new …

It is the need of an era to store and process big data and its applications. To process these
applications, it is inevitable to use heterogeneous distributed computing systems (HeDCS) …

In information technology, one of the modern and rising trends is cloud computing, the
foremost problems in cloud computing is task scheduling. A good scheduling algorithm has …

Over the last decades, embedded platform architectures for mechatronic systems have been
composed of general-purpose components to benefit from their steady increase in average …

Cloud computing is an emerging technology in distributed computing, which facilitates pay
per model as per user demand and requirement. Cloud consists of a collection of virtual …

With the advent of clustered systems, more and more parallel computing is required.
However a lot of programming skills is needed to write a parallel codes, especially when you …