Paper Info
Title
Simulation System of Earthquake Precursory Observatory Equipment Based on STM
Abstract
Transactional Memory(TM) is being studied widely by researchers, which is viewed as a new parallel programming model for synchronizing concurrent accesses to shared data object in multi-core or many-core systems. Research result shows that TM has a good performance over Lock using micro-benchmarks. The performance of real applications based on TM is still not clear. In this paper, we describe how to build Simulation System of Earthquake Precursory Observatory Equipment (SSEPOE) using Dynamic Software Transactional Memory (DSTM) and compare the scalability of it to that of lock-based one. Experimental result shows that the performance of SSEPOE based on STM have no advantages than lock-based one and it has a little convenience than lock in programming SSEPOE, this is because SSEPOE is rather simple and the experimentation computer only has two cores. If the computer has more cores and the real application is more complex, the version based on STM will outperform the lock-based one. Another hand, because DSTM2 did not support long transactions, SSEPOE Server did not realize all synchronization of threads using transactions. We only used transactions in the execution process of command instead of locks. We also gave insights into development techniques to encounter in developing SSEPOE Server and discussed the shortcomings of DSTM APIs.
Year
DOI
Venue
2010
10.1109/PDCAT.2010.93
PDCAT
Keywords
Field
DocType
geophysics computing,parallel programming,ssepoe server,earthquake precursory observatory equipment,software transactional memory,ssepoe,storage management,transactional memory,simulation system,earthquakes,multi-core computing,dynamic software transactional memory,good performance,new parallel programming model,experimentation computer,dstm,real application,programming ssepoe,dstm apis,servers,parallel programming model,synchronization
Software transactional memory,Lock (computer science),Computer science,Server,Thread (computing),Real-time computing,Transactional memory,Software,Parallel programming model,Operating system,Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-0-7695-4287-4
0
0.34
References 
Authors
7
2
Name
Order
Citations
PageRank
Weifeng Shan141.44
Husheng Liao22011.82