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What is Parallel Processing

Chapter 13
Handbook of Research on Securing Cloud-Based Databases with Biometric Applications
Parallel processing is the ability of the barrier to simultaneous process incoming stimuli of differing quality. Parallel processing is the simultaneous use of more than one CPU or processor core to execute programs or multiple computational threads. Parallel processing makes program run faster because there are more engines running it. Several different form of parallel computing: bit-level, instruction level, data and task parallelism.
Published in Chapter:
Biometrics in Cloud Computing
Mainak Adhikari (IMPS College of Engineering and Technology, India)
Copyright: © 2015 |Pages: 29
DOI: 10.4018/978-1-4666-6559-0.ch013
Abstract
Biometric-based authentication is automatic identity verification, based on individual physiological or behavioural characteristics, such as fingerprints, voice, face, iris, etc. Over the next few years, the amount of biological data will increase rapidly and require enormous amounts of storage space and huge processing power. To face those challenges, the Service Providers are looking towards a distributed approach, Cloud Computing, which can improve the Quality of Service (QoS) of overall systems and handle the challenges quite efficiently with its unlimited storage space, and parallel processing power, using the help of virtualization technology and rapid data distribution capacity. This chapter presents the important standards and recommendation of Biometric Services in Cloud Platform and elaborates the potential value of Cloud-Based Biometric Services by presenting two important case studies.
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Chapter 99
Emerging Tools and Technologies in Data Science
Parallel processing basically means multi-tasking in a word, with the purpose of increasing efficiency of doing a task up to the highest possible level of its standard set in an industry or working field, in terms of both time and cost, by approaching to do that task from all possible cost & time effective avenues simultaneously, within the limits of the existing performance facilities, and the environmental factors.
Published in Chapter: Emerging Tools and Technologies in Data Science; From: Encyclopedia of Data Science and Machine Learning
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Chapter 117
Applying Graphics Processing Unit Technologies to Agent-Based Simulation
Executing multiple instructions within a computer program simultaneously across multiple processing units on one or more physical devices (i.e. CPU or GPU cores).
Published in Chapter: Applying Graphics Processing Unit Technologies to Agent-Based Simulation; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 3
Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem
Is a method of simultaneously breaking up and running program tasks on multiple microprocessors, thereby reducing processing time.
Published in Chapter: Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem; From: Research Advancements in Smart Technology, Optimization, and Renewable Energy
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Chapter 6
Addressing the Parallel Process, Countertransference, and Resistance in Supervision Using Play and Expressive Arts Techniques
Mirroring or reflecting of dynamics within the supervision triadic relationship that occur within another relationship.
Published in Chapter: Addressing the Parallel Process, Countertransference, and Resistance in Supervision Using Play and Expressive Arts Techniques; From: Techniques and Interventions for Play Therapy and Clinical Supervision
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Chapter 28
Development and Design Methodologies in DWM
Parallel processing is the allocation of the operating system’s processing load across several processors (Singh, 1998, p. 209).
Published in Chapter: Development and Design Methodologies in DWM; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 59
Distributed Medical Image and Volume Registration
The concurrent execution of the same task, split into components, on multiple processors in order to achieve faster processing speeds.
Published in Chapter: Distributed Medical Image and Volume Registration; From: Encyclopedia of Healthcare Information Systems
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Chapter 12
Distributed Medical Volume Registration
The concurrent execution of the same task, split into components, on multiple processors in order to achieve faster processing speeds.
Published in Chapter: Distributed Medical Volume Registration; From: Handbook of Research on Distributed Medical Informatics and E-Health
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