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Scientific Programming Techniques and Algorithms for Data-Intensive Engineering Environments

Giner Alor-Hernández, Jezreel Mejía-Miranda, José María Álvarez-Rodríguez
2018 Scientific Programming  
Acknowledgments The preparation of this special collection has been partially supported by the Tecnologico Nacional de Mexico (TECNM), National Council of Science and Technology (CONACYT), and the Public  ...  directly applied to the area of scientific programming techniques and algorithms for data-intensive engineering Environments.  ...  and algorithms for data-intensive engineering environments.  ... 
doi:10.1155/2018/1351239 fatcat:7jmzlopjq5b7dnp4yswlickfea

Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments

Jose María Álvarez-Rodríguez, Giner Alor-Hernández, Jezreel Mejía-Miranda
2018 Scientific Programming  
The present paper introduces and reviews existing technology and research works in the field of scientific programming methods and techniques in data-intensive engineering environments.  ...  As the main result of this work, a set of 10 challenges for future data-intensive engineering environments have been outlined.  ...  Data, Linked Data, Complex Network Analysis, and Natural Language.  ... 
doi:10.1155/2018/8467413 fatcat:5elpk3n7gvburluohvabuvmkei

Computational Science Research Methods for Science Education at PG Level

Nia Alexandrov, Vassil Alexandrov
2015 Procedia Computer Science  
and use adequately HPC environments and tools for computation and visualization.  ...  The paper analyses the current state and proposes a program that encompasses mathematical modelling, data science, advanced algorithms development, parallel programming and visualization tools.  ...  et al, 2014), (High Level Expert Group on Scientific Data, 2010) and (EC Report, 2012) and the need for relevant skills for data-intensive science and also Big Data needs of industry (EC Report, 2012)  ... 
doi:10.1016/j.procs.2015.05.305 fatcat:ocg4nhdhanfs5k2y7jo5uiuvhu

A Survey of Data-Intensive Scientific Workflow Management

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
2015 Journal of Grid Computing  
This paper provides a survey of data-intensive scientific workflow management in SWfMSs and their parallelization techniques.  ...  A data-intensive scientific workflow is useful for modeling such process.  ...  data-intensive scientific workflow in the environment.  ... 
doi:10.1007/s10723-015-9329-8 fatcat:5urst5aphjftbli3pukmnbutri

Challenges and approaches for distributed workflow-driven analysis of large-scale biological data

Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li
2012 Proceedings of the 2012 Joint EDBT/ICDT Workshops on - EDBT-ICDT '12  
Middleware and technologies for scientific workflows and data-intensive computing promise new capabilities to enable rapid analysis of next-generation sequence data.  ...  the development of Kepler workflows for integrated execution of bioinformatics applications in distributed environments.  ...  New computational techniques and e cient execution mechanisms for this data-intensive workload are needed.  ... 
doi:10.1145/2320765.2320791 dblp:conf/edbt/AltintasWCL12 fatcat:lot2dlhp4fh45izbyqdiw3ta2y

Analysis Of Underwater Image De-Hazing Approaches: A Perspective View

Priya Jha, Keerti Gupta
2018 International Journal of Trend in Scientific Research and Development  
This paper discusses the issues in underwater images and compares the existing image enhancement techniques for underwater images.  ...  Especially in underwater imagery, the haze and hue variations are greatly affected.  ...  , and visualization Scientific and engineering drawing and graphics Application development, including graphical user interface building MATLAB(A Technical Computing Tool) is an programming tool whose  ... 
doi:10.31142/ijtsrd18588 fatcat:cejhvdtf3vhnncokskkxuxjcfm

Data Placement in Era of Cloud Computing: a Survey, Taxonomy and Open Research Issues

Avinash Kaur, Pooja Gupta, Manpreet Singh, Anand Nayyar
2019 Scalable Computing : Practice and Experience  
Number of data placement algorithms is designed in cloud computing environment that aimed to improve various factors affecting the workflows and their execution including the movement of data among data  ...  This paper provides a complete survey and analyses of existing data placement schemes proposed in literature for cloud computing.  ...  for executing data and compute intensive activities.  ... 
doi:10.12694/scpe.v20i2.1530 fatcat:oqvuu2yqvnauhgpwtadmhn25ee

A Survey On Data-Centric And Data-Aware Techniques For Large Scale Infrastructures

Silvina Caíno-Lores, Jesús Carretero
2016 Zenodo  
These systems are designed to support resource-intensive and complex applications, which can be found in many scientific and industrial areas.  ...  In this survey we analyse the different mechanisms that have been proposed to provide data locality for large scale high-performance and high-throughput systems.  ...  DATA-AWARE SCHEDULING This section discusses techniques and algorithms focused on scheduling tasks in multi-node environments.  ... 
doi:10.5281/zenodo.1112257 fatcat:4l7qjgwdcrffddnwgb4dd3miuu

Parallel data intensive computing in scientific and commercial applications

Mario Cannataro, Domenico Talia, Pradip K Srimani
2002 Parallel Computing  
The integration of parallel and distributed computational environments will produce major improvements in performance for both computing intensive and data intensive applications in the future.  ...  Large scale data intensive computing plays an increasingly important role in many scientific activities and commercial applications, whether it involves data mining of commercial transactions, experimental  ...  Gerhard Joubert for many helpful suggestions that improved the contents and the presentation of this paper.  ... 
doi:10.1016/s0167-8191(02)00091-1 fatcat:qetjnt73xrbf3eil5p6suwx4ua

Scientific workflows management and scheduling in cloud computing: Taxonomy, prospects, and challenges

Zulfiqar Ahmad, Ali Imran Jehangiri, Mohammed Alaa Ala'anzy, Mohamed Othman, Rohaya Latip, Sardar Khaliq uz Zaman, Arif Iqbal Umar
2021 IEEE Access  
Acknowledgement This work is supposed by Universiti Putra Malaysia and the Ministry of Education Malaysia.  ...  Finally, the design gaols for future development of data intensive applications and techniques were proposed.  ...  Scalability Scientific applications are highly data-intensive applications as these processes the huge amount of compute intensive and data intensive tasks.  ... 
doi:10.1109/access.2021.3070785 fatcat:nbrkndnhzra57lpbhzpyeht3wq

MATLAB Package and Science Subjects for Undergraduate Studies

Hazim H. Tahir, Teresa Fernández Pareja
2010 International Journal for Cross-Disciplinary Subjects in Education  
Research study to elicit and design a simplified method in order to model the scientific concepts and basics for many learning fields and disciplines such as Mathematics, Physics, Chemistry, Statistics  ...  learn, do, and appreciate MATLAB programming, since MATLAB would build the skills that are necessary to compete for the jobs of tomorrow.  ...  MATLAB (short for MATrix LABoratory) is a high-performance interacting data-intensive software environment for high-efficiency engineering and scientific numerical calculations [1, 4, 8, 11, and 17] .  ... 
doi:10.20533/ijcdse.2042.6364.2010.0006 fatcat:yyn7vuvzure6nnwh3bdpungpvi

High Performance Computing and Communication Research at the National Science Foundation [chapter]

S. Kamal Abdali
1997 Lecture notes in control and information sciences  
The rationale and organization of the US level HPCC program are outlined to present the context. Then NSF's HPCC-related activities are given in more detail.  ...  This paper describes the High Performance Computation and Communications (HPCC) of the National Science Foundation (NSF).  ...  "Grand Challenges" is now used for computationally intensive, usually scientific, problems, while "National Challenges" is used for informationally intensive, usually engineering, problems.  ... 
doi:10.1007/3540761691_2 fatcat:ajcqkzif3fbjpangppnynzckdu

Improving software quality using statistical testing techniques

D.P. Kelly, R.S. Oshana
2000 Information and Software Technology  
This article discusses the motivation and approach for adopting usagebased statistical testing techniques, and experiences using these testing techniques. ᭧  ...  The techniques provide quantitative methods for measuring and reporting testing progress, and support managing the testing process.  ...  Cleanroom techniques do require a commitment and a disciplined approach and matched well with the mature CMM framework established for the program [7] .  ... 
doi:10.1016/s0950-5849(00)00124-5 fatcat:g5wlhkn6mndixmpic7hbshmxeu

The New Computational and Data Sciences Undergraduate Program at George Mason University [chapter]

Kirk Borne, John Wallin, Robert Weigel
2009 Lecture Notes in Computer Science  
The Mason CDS program has a significantly stronger focus on data-oriented approaches to science than do most computational science and engineering programs.  ...  challenges of data-intensive science.  ...  Each of these reports issues a call to action in response to the data avalanche in science, engineering, and the global scholarly environment.  ... 
doi:10.1007/978-3-642-01973-9_9 fatcat:7uiysaukgvfn7efqpszcrhzxdq

A Study on Big Data Techniques and Applications

K. Radha, B. Thirumala Rao
2016 International Journal of Advances in Applied Sciences  
This paper is presents the Essential Characteristics of Big Data Applications and State of-the-art tools and techniques to handle data-intensive applications and also building index for web pages available  ...  In many areas Big Data is changed such as public administration, scientific research, business, The Financial Services Industry, Automotive Industry, Supply Chain, Logistics, and Industrial Engineering  ...  STATE OF THE ART TOOLS AND TECHNIQUES TO HANDLE DATA-INTENSIVE APPLICATIONS 5.1.  ... 
doi:10.11591/ijaas.v5.i2.pp101-108 fatcat:xmc3rgy6fnejrfusulxtjbsz4e
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