eprintid: 4083
rev_number: 12
eprint_status: archive
userid: 430
dir: disk0/00/00/40/83
datestamp: 2020-11-11 07:42:48
lastmod: 2020-11-11 07:42:48
status_changed: 2020-11-11 07:42:48
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Thu Trang
creators_name: Nguyen, Hue
creators_name: Bui, Quang Cuong
creators_name: Pham, Ngoc Hung
creators_name: Vo, Dinh Hieu
creators_name: Takeuchi, Shigeki
creators_id: trang.nguyen@vnu.edu.vn
creators_id: 17021156@vnu.edu.vn
creators_id: bqcuong@vnu.edu.vn
creators_id: hungpn@vnu.edu.vn
creators_id: hieuvd@vnu.edu.vn
creators_id: takeuchi.s@gaio.co.jp
title: Practical approach to access the impact of global variables on program parallelism
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Global variables may have a significant impact on preventing programs from automatic parallelism. This paper introduces a practical approach to measure the effect of global variables on program parallelism. First, we conduct static data dependence analysis among program variables and represent such dependencies by a Variable Dependence Graph. Then, we analyze this graph for measuring and identifying which global variables have a significant impact on program parallelism. To evaluate this approach, we conduct experiments on 20 benchmark programs and an industrial application. The experimental results show that half of the studied programs contain large impact variables which may be the cause of preventing programs from parallel execution.
date: 2020-11-25
date_type: published
full_text_status: public
pres_type: paper
pagerange: 6-8
event_title: 14th International Conference on Advanced COMPuting and Applications
event_dates: 25 November 2020
event_type: conference
refereed: FALSE
funders: GAIO  TECHNOLOGY CO., LTD
funders: VNU University of Engineering and Technology
projects: CN20.26
citation:   Nguyen, Thu Trang and Nguyen, Hue and Bui, Quang Cuong and Pham, Ngoc Hung and Vo, Dinh Hieu and Takeuchi, Shigeki  (2020) Practical approach to access the impact of global variables on program parallelism.  In: 14th International Conference on Advanced COMPuting and Applications, 25 November 2020.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4083/1/Global_variables_impact.pdf