Workshare Process of Thread Programming and MPI Model on Multicore Architecture
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 7
Abstract
Comparison between OpenMP for thread programming model and MPI for message passing programming model will be conducted on multicore shared memory machine architectures in order to find which has a better performance in terms of speed and throughput. Application used to assess the scalability of the evaluated parallel programming solutions is matrix multiplication with customizable matrix dimension. Many research done on a large scale parallel computing which using high scale benchmark such as NSA Parallel Benchmark (NPB) for their testing standardization [2]. This research will be conducted on a small scale parallel computing that emphasize more on the performance evaluation between MPI and OpenMP parallel programming model using self created benchmark. It also describes how workshare processes done on different parallel programming model. It gives comparative result between message passing and shared memory programming model in runtime and amount of throughput. Testing methodology also simple and has high usability on the available resources.
Authors and Affiliations
R. Refianti , A. B. Mutiara , D. T Hasta
Keywords
Related Articles
- EP ID EP85732
- DOI -
- Views 142
- Downloads 0
Virtualization Implementation Model for Cost Effective & Efficient Data Centers
With advancement of technology things are becoming simpler and easier for us. Automatic systems are being preferred over manual system. This unit talks about the basic definitions needed to understand the Project better...
Generating a Highlight Moments Summary Video of Apolitical Event using Ontological Analysis on Social Media Speech Sentiment
Numerous viewers choose to watch political or presidential debates highlights via TV or internet, rather than seeing the whole debate nowadays, which requires a lot of time. However, the task of making a debate summary,...
Selection of Eigenvectors for Face Recognition
Face recognition has advantages over other biometric methods. Principal Component Analysis (PCA) has been widely used for the face recognition algorithm. PCA has limitations such as poor discriminatory power and large co...
Trending Challenges in Multi Label Classification
Multi label classification has become a very important paradigm in the last few years because of the increasing domains that it can be applied to. Many researchers have developed many algorithms to solve the problem of m...
Design and Architecture of a Location and Time-based Mobile-Learning System: A Case-Study for Interactive Islamic Content
This paper describes a software design, architecture and process of a novel mobile-learning (m-Learning) approach based on smart-phone devices for retrieving relevant content in real-time based on the user’s-location and...