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|Title: ||Clustering Algorithm for Parallelizing Software Systems in Multi-Processors Environment|
|Authors: ||蔡進發;Jeffrey, J.P.Tsai|
|Keywords: ||"Parallel processing;software environment;synchronous communication;clustering algorithm;distributed application;deadlock
|Issue Date: ||2012-11-23 17:14:12 (UTC+8)|
|Abstract: ||"A variety of techniques and tools exist to parallelize software systems on different parallel architectures (SIMD, MIMD).
With the advances in high-speed networks, there has been a dramatic increase in the number of client/server applications. A variety of
client/server applications are deployed today, ranging from simple telnet sessions to complex electronic commerce transactions.
Industry standard protocols, like Secure Socket Layer (SSL), Secure Electronic Transaction (SET), etc., are in use for ensuring privacy
and integrity of data, as well as for authenticating the sender and the receiver during message passing. Consequently, a majority of
applications using parallel processing techniques are becoming synchronization-centric, i.e., for every message transfer, the sender
and receiver must synchronize. However, more effective techniques and tools are needed to automate the clustering of such
synchronization-centric applications to extract parallelism. In this paper, we present a new clustering algorithm to facilitate the
parallelization of software systems in a multiprocessors environment. The new clustering algorithm achieves traditional clustering
objectives (reduction in parallel execution time, communication cost, etc.). Additionally, our approach 1) reduces the performance
degradation caused by synchronizations, and 2) avoids deadlocks during clustering. The effectiveness of our approach is depicted with
the help of simulation results."
|Relation: ||IEEE Transactions on Software Engineering|
|Appears in Collections:||[生物資訊與醫學工程學系 ] 期刊論文|
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