scholarly journals Design and Implementation of MapReduce Using the PGAS Programming Model with UPC

Author(s):  
Carlos Teijeiro ◽  
Guillermo L. Taboada ◽  
Juan Tourino ◽  
Ramon Doallo
2013 ◽  
Vol 659 ◽  
pp. 169-173
Author(s):  
Yan Wang ◽  
Bi Ying Zhang ◽  
Zhong Chuan Fu ◽  
Wen Hu

To integrate the programming model and the executing model, the procedure is introduced into the design of multi-core micro-architecture, and the method-centric (Metric) multi-core architecture is proposed. A functional simulator for Metric multi-core architecture is designed and implemented. The simulator is implemented with the object-oriented programming methodology, and is composed of three groups of components: functional simulator, ISA emulator and auxiliary components. The experimental results show that the implemented simulator is effective and correct.


Author(s):  
Glenn Wasson ◽  
Marty Humphrey

State management has always been an underlying issue for large scale distributed systems, but it has only recently been brought to the forefront of Grid computing with the introduction of the Web services resource framework (WSRF) and its companion WS-notification. WSRF advocates standardized approaches for client exposure to and potential manipulation of stateful services for Grid computing; however, these arguments and their long term implications have been difficult to assess without a concrete implementation of the WSRF specifications. This chapter describes the architectural foundations of WSRF.NET, which is an implementation of the full set of specifications for WSRF and WS-notification on the Microsoft .NET framework. To our knowledge, the observations and lessons learned from the design and implementation of WSRF.NET provide the first evaluation of the WSRF approach. A concrete example of the design, implementation and deployment of a WSRF-compliant service and its accompanying WSRF-compliant client are used to guide the discussion. While the potential of WSRF and WS-notification remains strong, initial observations are that there are many challenges that remain to be solved, most notably the implied programming model derived from the specifications, particularly the complexity of service-side and client-code and the complexity of WS-notification.


Author(s):  
Yunhong Gu ◽  
Robert L. Grossman

Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply, given the right programming model and infrastructure. In this paper, we describe the design and implementation of the Sector storage cloud and the Sphere compute cloud. By contrast with the existing storage and compute clouds, Sector can manage data not only within a data centre, but also across geographically distributed data centres. Similarly, the Sphere compute cloud supports user-defined functions (UDFs) over data both within and across data centres. As a special case, MapReduce-style programming can be implemented in Sphere by using a Map UDF followed by a Reduce UDF. We describe some experimental studies comparing Sector/Sphere and Hadoop using the Terasort benchmark. In these studies, Sector is approximately twice as fast as Hadoop. Sector/Sphere is open source.


2015 ◽  
Vol 24 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Stephen N. Calculator

Purpose To provide an overview of communication characteristics exhibited by individuals with Angelman Syndrome (AS) and special considerations associated with the design and implementation of augmentative and alternative communication (AAC) programs. Method Results of recent studies exploring individuals' uses of AAC are reviewed, with particular emphasis on factors related to individuals' acceptance and successful uses of AAC systems. Results Not applicable Conclusion Despite their inconsistent access to practices previously found to foster individuals' acceptance of AAC systems, individuals with AS demonstrate the ability to use AAC systems, including high-tech AAC devices, successfully.


2017 ◽  
Author(s):  
Alicia Papas ◽  
Anthony D. LaMontagne ◽  
Allison J. Milner ◽  
Amanda Allisey ◽  
Andrew J. Noblet ◽  
...  

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