Volume 6 Number 12 (Dec. 2011)
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Guest Editorial: Special Issue on Parallel and Distributed Data Processing

Guest Editors: Xianchao Zhang, Feng Xia
  As an exponentially increasing amount of data is generated everyday, parallel and distributed data processing has emerged as a key enabling technology and plays more and more important roles in modern computing and information technologies. In recent years, many researchers have become increasingly interested in the field of parallel and distributed data processing, and a large number of remarkable academic achievements have been published and applied to various domains.
  In this special issue, we selected some excellent papers from the third International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2010), which was held in Dalian, China, December 18-20, 2010. In addition, we invited and selected some representative research papers in the broad area of parallel and distributed data processing.
  The paper titled "A Translation Framework for Executing the Sequential Binary Code on CPU/GPU Based Architectures" proposes a novel translation framework for constructing the virtual execution environment aiming at accelerating the process of DBT on CPU/GPU based architectures. With parallelizable parts (hot spots) of binary code and their related information, the framework converts the sequential code into PTX form and executes them on GPUs.
  The paper titled "A Dynamic-Static Combined Code Layout Reorganization Approach for Dynamic Binary Translation" presents a dynamic-static combined approach to reorganize the layout of software cache. Under this approach, we first employ an emulating execution to collect the profile information and the translated target code.


General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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