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You searched for subject:(Multidimensional scheduling). Showing records 1 – 3 of 3 total matches.

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Université Paris-Sud – Paris XI

1. Fellahi, Mohammed. Des réseaux de processus cyclo-statiques à la génération de code pour le pipeline multi-dimensionnel : From Cyclo-Static Process Networks to Code Generation for Multidimensional Software Pipelining.

Degree: Docteur es, Informatique, 2011, Université Paris-Sud – Paris XI

Les applications de flux de données sont des cibles importantes de l’optimisation de programme en raison de leur haute exigence de calcul et la diversité de leurs domaines d’application: communication, systèmes embarqués, multimédia, etc. L’un des problèmes les plus importants et difficiles dans la conception des langages de programmation destinés à ce genre d’applications est comment les ordonnancer à grain fin à fin d’exploiter les ressources disponibles de la machine.Dans cette thèse on propose un "framework" pour l’ordonnancement à grain fin des applications de flux de données et des boucles imbriquées en général. Premièrement on essaye de paralléliser le nombre maximum de boucles en appliquant le pipeline logiciel. Après on merge le prologue et l’épilogue de chaque boucle (phase) parallélisée pour éviter l’augmentation de la taille du code. Ce processus est un pipeline multidimensionnel, quelques occurrences (ou instructions) sont décalées par des iterations de la boucle interne et d’autres occurrences (instructions) par des iterationsde la boucle externe. Les expériences montrent que l’application de cette technique permet l’amélioration des performances, extraction du parallélisme sans augmenter la taille du code, à la fois dans le cas des applications de flux des donnée et des boucles imbriquées en général.

Applications based on streams, ordered sequences of data values, are important targets of program optimization because of their high computational requirements and the diversity of their application domains: communication, embedded systems, multimedia, etc. One of the most important and difficult problems in special purpose stream language design and implementation is how to schedule these applications in a fine-grain way to exploit available machine resources In this thesis we propose a framework for fine-grain scheduling of streaming applications and nested loops in general. First, we try to pipeline steady state phases (inner loops), by finding the repeated kernel pattern, and executing actor occurrences in parallel as much as possible. Then we merge the kernel prolog and epilog of pipelined phases to move them out of the outer loop. Merging the kernel prolog and epilog means that we shift acotor occurrences, or instructions, from one phase iteration to another and from one outer loop iteration to another, a multidimensional shifting. Experimental shows that our framwork can imporove perfomance, prallelism extraction without increasing the code size, in streaming applications and nested loops in general.

Advisors/Committee Members: Cohen, Albert Henri (thesis director).

Subjects/Keywords: Applications de flux de données; Boucles imbriquées; Pipeline logiciel; Ordonnancement multidimentionnel; Streaming applications; Nested loops; Multidimensional scheduling; Software Pipelining

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APA (6th Edition):

Fellahi, M. (2011). Des réseaux de processus cyclo-statiques à la génération de code pour le pipeline multi-dimensionnel : From Cyclo-Static Process Networks to Code Generation for Multidimensional Software Pipelining. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2011PA112046

Chicago Manual of Style (16th Edition):

Fellahi, Mohammed. “Des réseaux de processus cyclo-statiques à la génération de code pour le pipeline multi-dimensionnel : From Cyclo-Static Process Networks to Code Generation for Multidimensional Software Pipelining.” 2011. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed August 23, 2019. http://www.theses.fr/2011PA112046.

MLA Handbook (7th Edition):

Fellahi, Mohammed. “Des réseaux de processus cyclo-statiques à la génération de code pour le pipeline multi-dimensionnel : From Cyclo-Static Process Networks to Code Generation for Multidimensional Software Pipelining.” 2011. Web. 23 Aug 2019.

Vancouver:

Fellahi M. Des réseaux de processus cyclo-statiques à la génération de code pour le pipeline multi-dimensionnel : From Cyclo-Static Process Networks to Code Generation for Multidimensional Software Pipelining. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2011. [cited 2019 Aug 23]. Available from: http://www.theses.fr/2011PA112046.

Council of Science Editors:

Fellahi M. Des réseaux de processus cyclo-statiques à la génération de code pour le pipeline multi-dimensionnel : From Cyclo-Static Process Networks to Code Generation for Multidimensional Software Pipelining. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2011. Available from: http://www.theses.fr/2011PA112046

2. Kachikaran Arulswamy, Johnson Charles. Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

Discerning knowledge from voluminous data involves a series of data manipulation steps. Scientists typically compose and execute workflows for these steps using scientific workflow management systems (SWfMSs). SWfMSs have been developed for several research communities including but not limited to bioinformatics, biology, astronomy, computational science, and physics. Parallel execution of workflows has been widely employed in SWfMSs by exploiting the storage and computing resources of grid and cloud services. However, none of these systems have been tailored for the needs of spatiotemporal analytics on real-time sensor data with high arrival rates. This thesis demonstrates the development and evaluation of a target-oriented workflow model that enables a user to specify dependencies among the workflow components, including data availability. The underlying spatiotemporal data dispersion and indexing scheme provides fast data search and retrieval to plan and execute computations comprising the workflow. This work includes a scheduling algorithm that targets minimizing data movement across machines while ensuring fair and efficient resource allocation among multiple users. The study includes empirical evaluations performed on the Google cloud. Advisors/Committee Members: Pallickara, Sangmi Lee (advisor), Pallickara, Shrideep (committee member), von Fischer, Joseph (committee member).

Subjects/Keywords: multidimensional data; spatiotemporal analytics; workflow scheduling; scientific workflow; distributed; storage system

…22 5.3. Scheduling… …21 5.2 Workflow Scheduling… …30 6.4 Cluster utilization for different scheduling schemes… …31 ix 6.6 Resource allocation among four users using hybrid scheduling scheme having WR… …generated in sensing environments. 1.1. Scientific Challenges Efficient composition, scheduling… 

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APA (6th Edition):

Kachikaran Arulswamy, J. C. (2017). Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/181467

Chicago Manual of Style (16th Edition):

Kachikaran Arulswamy, Johnson Charles. “Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A.” 2017. Masters Thesis, Colorado State University. Accessed August 23, 2019. http://hdl.handle.net/10217/181467.

MLA Handbook (7th Edition):

Kachikaran Arulswamy, Johnson Charles. “Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A.” 2017. Web. 23 Aug 2019.

Vancouver:

Kachikaran Arulswamy JC. Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10217/181467.

Council of Science Editors:

Kachikaran Arulswamy JC. Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181467

3. Preston, Heather Ann. SMART Start! Examining the Relationship Between Social Cognitive Theory Variables and Physical Activity in a Worksite Walking Program.

Degree: MA, EDU Physical Activity and Educational Services, 2012, The Ohio State University

Approximately 67% of American adults are overweight (BMI greater than or equal to 25) or obese (BMI greater than or equal to 30) and nearly 80% of American adults do not meet the minimum physical activity recommendations (150 minutes of moderate physical activity per week). The increased prevalence of sedentary behavior at work and the advanced technological environments of worksites are large contributors to human inactivity and possibly obesity. Therefore, workplaces are common settings for health behavior change interventions because they benefit researchers, employers and employees alike. Previous research has focused on increasing walking while at work because it is a free and accessible form of physical activity. Many studies have used the theoretical framework of the Social Cognitive Theory (SCT) and constructs such as goal setting, self-efficacy and exercise motives in order to facilitate behavior change. By gradually walking more over time, employees have the potential to experience lasting health benefits (i.e. decreased blood pressure, BMI, blood glucose, total cholesterol and increased functional capacity). The purpose of this study was to build on previous research and examine the relationship between SCT variables and physical activity. A total of 49 participants were recruited from Battelle Memorial Institute to complete an online survey before beginning a six-week walking program. Ten participants also completed the survey at the end of the program. Pearson product moment correlation coefficients were run in order to assess whether or not relationships existed between the SCT variables and weekly step counts and between weekly step counts and weekly energy expenditure at pretest and posttest. Paired samples t-tests were run to assess whether or not the physical activity variables changed from pretest to posttest. Significant correlations were found between weekly step count and the exercise motives of revitalisation, enjoyment and positive health at pretest. Additionally, a significant correlation was found between weekly step count and weekly energy expenditure at pretest. At posttest, a significant correlation was found between weekly step count and the exercise motive of ill-health avoidance. No significant correlations were found between weekly step count and weekly energy expenditure at posttest, and no significant changes were seen in the physical activity variables over the course of the six-week walking program. Although not significant, a relationship emerged between the exercise motive of stress management and weekly step count. Given that participants in the present study were motivated to engage in physical activity by the need to manage worksite stress, future research should set out to examine this relationship in further detail. By understanding the association between work-related stress and physical activity, future interventions could be planned in order to address both issues (decrease stress and increase physical activity). If interventions are able to… Advisors/Committee Members: Buckworth, Janet (Advisor).

Subjects/Keywords: Behavioral Sciences; Health; Kinesiology; Psychology; social cognitive theory; SCT; worksite; work place; pedometer; walking; physical activity; exercise; paffenbarger; exercise goal setting; exercise planning and scheduling; exercise motivations inventory; multidimensional exercise self-efficacy scale

Scheduling Scale, Multidimensional Exercise Self-Efficacy Scale (MDSE), Exercise… …setting, planning/scheduling), exercise self-efficacy, exercise motives and weekly physical… …change related to exercise/physical activity. Exercise Planning/Scheduling: The ability to… …barriers, rewards, goal setting, planning and scheduling, social support, etc. At study… …Exercise Planning & Scheduling Scale. The Exercise Goal Setting Scale (Rovniak, Anderson… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Preston, H. A. (2012). SMART Start! Examining the Relationship Between Social Cognitive Theory Variables and Physical Activity in a Worksite Walking Program. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1343421761

Chicago Manual of Style (16th Edition):

Preston, Heather Ann. “SMART Start! Examining the Relationship Between Social Cognitive Theory Variables and Physical Activity in a Worksite Walking Program.” 2012. Masters Thesis, The Ohio State University. Accessed August 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343421761.

MLA Handbook (7th Edition):

Preston, Heather Ann. “SMART Start! Examining the Relationship Between Social Cognitive Theory Variables and Physical Activity in a Worksite Walking Program.” 2012. Web. 23 Aug 2019.

Vancouver:

Preston HA. SMART Start! Examining the Relationship Between Social Cognitive Theory Variables and Physical Activity in a Worksite Walking Program. [Internet] [Masters thesis]. The Ohio State University; 2012. [cited 2019 Aug 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1343421761.

Council of Science Editors:

Preston HA. SMART Start! Examining the Relationship Between Social Cognitive Theory Variables and Physical Activity in a Worksite Walking Program. [Masters Thesis]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1343421761

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