this article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of english as a foreign language (efl). the study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...

This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help u...

Parallel processing of image analysis tasks is an essential method to speed up image processing and helps to exploit the full capacity of distributed systems. However, writing parallel code is a diicult and time-consuming process and often leads to an architecture-dependent program that has to be re-implemented when changing the hardware. Therefore it is highly desirable to do the parallelizati...

Functional or Control parallelism is an eeective way to increase speedups in Multicomputers. Programs for these machines are represented by Macro Dataaow Graphs (MDGs) for the purpose of functional parallelism analysis and exploitation. Algorithms for allocation and scheduling of MDGs have been discussed along with some analysis of their optimality. These algorithms attempt to minimize the exec...

Parallel processing frameworks (Dean and Ghemawat, 2004) accelerate jobs by breaking them into tasks that execute in parallel. However, slow running or straggler tasks can run up to 8 times slower than the median task on a production cluster (Ananthanarayanan et al., 2013), leading to delayed job completion and inefficient use of resources. Existing straggler mitigation techniques wait to detec...