Languages that support task and data parallelism are highly general and can exploit both
forms of parallelism in a single application. However, cleanly integrating the two forms of …

A relatively new trend in parallel programming scheduling is the so-called mixed task and
data scheduling. It has been shown that mixing task and data parallelism to solve large …

It is well-known that mixing task and data parallelism to solve large computational
applications often yields better speedups compared to either applying pure task parallelism …

Networked systems provide a cost-effective platform for parallel computing, but the
applications have to deal with the changing availability of computation and communication …

Developing parallel software using current tools can be challenging. Even experts find it
difficult to reason about the use of locks and often accidentally introduce race conditions and …

This paper addresses optimal mapping of parallel programs composed of a chain of data
parallel tasks onto the processors of a parallel system. The input to the programs is a stream …

The paper presents a data and task parallel low-level image processing environment for
distributed memory systems. Image processing operators are parallelized by data …

Intrusion Detection Systems (IDSs) play an important role detecting various kinds of attacks
and defend our computer systems from them. There are basically two main types of …

Scheduling of most of the parallel scientific applications demand simultaneous exploitation
of task and data parallelism for efficient and effective utilization of system and other …

Abstract Development of portable network-aware applications demands an interface to the
network that allows an application to obtain information about its execution environment …