Analyzing the working set characteristics of branch execution

2002 ◽  
Author(s):  
S.P. Kim ◽  
G.S. Tyson
Keyword(s):  
Working Set

scholarly journals A Note on the Decomposition Methods for Support Vector Regression

2002 ◽  
Vol 14 (6) ◽  
pp. 1267-1281 ◽  
Author(s):  
Shuo-Peng Liao ◽  
Hsuan-Tien Lin ◽  
Chih-Jen Lin
Keyword(s):  
Support Vector Regression ◽  
Decomposition Method ◽  
Decomposition Methods ◽  
Support Vector ◽  
Dual Formulation ◽  
Working Set ◽  
Number Of Iterations

The dual formulation of support vector regression involves two closely related sets of variables. When the decomposition method is used, many existing approaches use pairs of indices from these two sets as the working set. Basically, they select a base set first and then expand it so all indices are pairs. This makes the implementation different from that for support vector classification. In addition, a larger optimization subproblem has to be solved in each iteration. We provide theoretical proofs and conduct experiments to show that using the base set as the working set leads to similar convergence (number of iterations). Therefore, by using a smaller working set while keeping a similar number of iterations, the program can be simpler and more efficient.

The working set algorithm has competitive ratio less than two

1997 ◽  
Vol 63 (4) ◽  
pp. 183-188
Author(s):  
Kunsoo Park ◽  
Sang Lyul Min ◽  
Yookun Cho
Keyword(s):  
Competitive Ratio ◽  
Working Set

Ray-driven dynamic working set rendering

2007 ◽  
Vol 23 (3) ◽  
pp. 167-179 ◽  
Author(s):  
David Chisnall ◽  
Min Chen ◽  
Charles Hansen
Keyword(s):  
Working Set

Strategie e strumenti per la valorizzazione delle produzioni nella filiera bovina: il fattore genoma

2012 ◽  
pp. 63-83
Author(s):  
Francesco Zecca ◽  
Elisabetta Capocchi
Keyword(s):  
Bovine Genome ◽  
Animal Health ◽  
Genetic Selection ◽  
Analytical Framework ◽  
Cattle Industry ◽  
Cattle Feed ◽  
Use Of Technology ◽  
Representative Species ◽  
Working Set ◽  
Target Characteristics

The aim of the project was to examine the features involved in product quality and animal health for the purposes of genetic selection in order to achieve the best quality in each of the species and/or breeds under consideration. Among the tasks carried out the working group had to verify the socio-economic development of the most satisfactory end results as determined by the working set of genetic selections in the light of continuous advances in knowledge regarding the bovine genome. The analysis was limited to cattle as they were considered the most representative species for the purpose of the study. The study started with an analysis of the sector to investigate the proactive dynamics concerning the use of technology in the cattle industry The approach used is one which has become customary in studies examining issues in this sector related to the system of farming/livestock and which allows us to detect not only the most crucial quantitative but also qualitative aspects that exist and have been established among the various components of the system, with particular reference to the types of productive performance which are determined by the use of different technical patterns, especially those related to improvement and genetic selection. The study's aim was to follow the analytical framework of the supply chain in order to highlight important conditions that contribute to an interpretation of the key economic characteristics for the selective breeding industry under analysis. All this is due to the gradual revelation of the genetic basis of biodiversity by means of genome sequencing. Thanks to genomics, subjects to be used for propagation can be selected in terms of the target characteristics to be achieved, such as greater energy efficiency, resulting in the ability to produce better cattle feed, more resistance to disease, or a reduction in environmental impact by reducing emissions of methane gas. Regarding the methodology adopted, an examination of the context is followed by an evaluation of the most suitable production factors for the enhancement of the cattle population and the article concludes with some suggestions for possible future interventions.

Gender perspectives on extended working life policies

2017 ◽  
Author(s):  
Áine Ní Léime ◽  
Wendy Loretto
Keyword(s):  
Working Life ◽  
Defined Contribution ◽  
Population Policies ◽  
Flexible Working ◽  
Working Set ◽  
The Individual ◽  
Pension Age ◽  
Pension Contribution ◽  
The Uk ◽  
State Pension

This chapter documents international policy developments and provides a gender critique of retirement, employment and pension policies in Australia, Ireland, Germany, Portugal, Sweden, the UK, and the US. It assesses the degree to which the individual country's extended working life policies have adopted the agenda (increasing pension age and introducing flexible working) set out by the OECD and the EU. Policies include raising state pension age, changes in the duration of pension contribution requirements, the move from defined benefits to defined contribution pensions, policies on caring for vulnerable members of the population, policies enabling flexible working and anti-age discrimination measures. An expanded framework is used to assess the degree to which gender and other intersecting issues such as health, caring, class, type of occupation and/or membership of minority communities have (or have not) been taken into account in designing and implementing policies extending working life.

SPREADING ACTIVATION OVER ONTOLOGY-BASED RESOURCES: FROM PERSONAL CONTEXT TO WEB SCALE REASONING

2010 ◽  
Vol 04 (01) ◽  
pp. 59-102 ◽  
Author(s):  
ALAN DIX ◽  
AKRIVI KATIFORI ◽  
GIORGOS LEPOURAS ◽  
COSTAS VASSILAKIS ◽  
NADEEM SHABIR
Keyword(s):  
User Interaction ◽  
Knowledge Bases ◽  
Spreading Activation ◽  
Personal Ontology ◽  
Highly Active ◽  
The Social ◽  
Web Of Data ◽  
Working Set ◽  
Personal Context ◽  
Model Context

This paper describes methods to allow spreading activation to be used on web-scale information resources. Existing work has shown that spreading activation can be used to model context over small personal ontologies, which can be used to assist in various user activities, for example, in auto-completing web forms. This previous work is extended and methods are developed by which large external repositories, including corporate information and the web, can be linked to the user's personal ontology and thus allow automated assistance that is able to draw on the entire web of data. The basic idea is to augment the personal ontology with cached data from external repositories, where the choice of data to fetch or discard is related to the level of activation of entities already in the personal ontology or cached data. This relies on the assumption that the working set of highly active entities is relatively small; empirical results are presented, which suggest these assumptions are likely to hold. Implications of the techniques are discussed for user interaction and for the social web. In addition, warm world reasoning is proposed, applying rule-based reasoning over activated entities, potentially merging symbolic and sub-symbolic reasoning over web-scale knowledge bases.

scholarly journals Smart Caching at CMS: applying AI to XCache edge services

2020 ◽  
Vol 245 ◽  
pp. 04024
Author(s):  
Daniele Spiga ◽  
Diego Ciangottini ◽  
Mirco Tracolli ◽  
Tommaso Tedeschi ◽  
Daniele Cesini ◽  
...  
Keyword(s):  
National Level ◽  
Data Access ◽  
Analysis Data ◽  
Technical Solution ◽  
Early Results ◽  
Lake Model ◽  
Geographically Distributed ◽  
Computing Centers ◽  
Working Set ◽  
The Impact

The projected Storage and Compute needs for the HL-LHC will be a factor up to 10 above what can be achieved by the evolution of current technology within a flat budget. The WLCG community is studying possible technical solutions to evolve the current computing in order to cope with the requirements; one of the main focus is resource optimization, with the ultimate aim of improving performance and efficiency, as well as simplifying and reducing operation costs. As of today the storage consolidation based on a Data Lake model is considered a good candidate for addressing HL-LHC data access challenges. The Data Lake model under evaluation can be seen as a logical system that hosts a distributed working set of analysis data. Compute power can be “close” to the lake, but also remote and thus completely external. In this context we expect data caching to play a central role as a technical solution to reduce the impact of latency and reduce network load. A geographically distributed caching layer will be functional to many satellite computing centers that might appear and disappear dynamically. In this talk we propose a system of caches, distributed at national level, describing both deployment and results of the studies made to measure the impact on the CPU efficiency. In this contribution, we also present the early results on novel caching strategy beyond the standard XRootD approach whose results will be a baseline for an AI-based smart caching system.

Working Set Size Estimation Techniques in Virtualized Environments

2018 ◽  
Vol 2 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Vlad Nitu ◽  
Aram Kocharyan ◽  
Hannas Yaya ◽  
Alain Tchana ◽  
Daniel Hagimont ◽  
...  
Keyword(s):  
Size Estimation ◽  
Estimation Techniques ◽  
Set Size ◽  
Working Set
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