Main Article Content
When Programming Multicore Applications we need to consider the method of making use of the existing powerful multicore
processors. The multicore processor provides a new challenge or issues to be taken into account for software developers to achieve higher
performance in computing applications. The applications requires high speed process need to migrate the software from single core to multicore
processor is the real challenge in front of us. Several factors determine whether the performance of an application improves on a multicore
system. Bottlenecks in parallelism may arise at several levels of software application stack, and avoiding this problem is a challenging task. This
proposed paper discusses the benchmarking metrics for applications on Multicore systems and to tune the performance of threaded applications
with balanced load for each core and a basic understanding of how to gather meaningful benchmark data and tune applications on multicore
systems. Before benchmarking our application on a multicore system, we need to understand the characteristics of the application being
measured. If the application is multithreaded then in theory the performance of the application will increase as the number of cores increases in a
system. How much the performance of the application actually increases will depend on what else is running on the system, how effectively the
application is threaded, and the nature of the hardware platform. Here are few issues we need to analyze. They are 1.How many threads are used
by our application. If our application is multithreaded, whether the application is designed to make use of all cores in a multicore system .2.
Knowing performance on a single core platform, what is the expected performance on a system with N-Cores? The Amdahlâ€™s Law basically
predicts how the performance of a parallel application changes as the number of cores increases based on the amount of serial and parallel work
in that application. The mismatch between measured parallel application performance and predicted performance are to be investigated.
Keywords: Multicore, Parallel Program, Interprocessor Communication
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.