The profiling method in multicore processor for effective performance improvement

Seung Hyun Yoon, Seong Jin Cho, Kil Jae Kim, Kyung Min Lee, Dong Won Choi, Jong Hyun Park, Yong Seok Kim, Key Ho Kwon, Jae Wook Jeon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Today, multi-core processors are being used widely in mobile environments in addition to the existing PC-based environment. In order to use a multi-core processor efficiently, parallel programming skills are required. However, incorrect parallelization can degrade the performance of the overall system in a mobile multitasking environment. Therefore, a profiling technique that measures the performance of the whole system is needed. Also, it should to be possible to compare the performance of parallelization operations. In this paper, we propose a profiling method that analyzes the utilization of each application's processor when multiple applications are loaded at the same time. We also verified the profiling method by using some benchmark programs running on the Android operating system.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
DOIs
StatePublished - 2012
Event6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 - Kuala Lumpur, Malaysia
Duration: 20 Feb 201222 Feb 2012

Publication series

NameProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12

Conference

Conference6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
Country/TerritoryMalaysia
CityKuala Lumpur
Period20/02/1222/02/12

Keywords

  • Multi-processing
  • Multi-thread
  • Multicore
  • Profiler

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