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What is Parallel Code

Handbook of Research on Computational Science and Engineering: Theory and Practice
When there are many cores in many nodes in a computational environment, a code which uses a single core for computation can be modified so that a big task in the code can be divided into many little tasks and each little task is handled by one node and many nodes work for this single and big task at the same time. The code modified in this way is called parallel code which can make use of more than one machines in a single run and run on more than one machine simultaneously.
Published in Chapter:
Opportunities and Challenges in Porting a Parallel Code from a Tightly-Coupled System to the Distributed EU Grid, Enabling Grids for E-sciencE
Fumie Costen (University of Manchester, UK) and Akos Balasko (Hungarian Academy of Sciences, Hungary)
DOI: 10.4018/978-1-61350-116-0.ch009
Abstract
The computational architecture of Enabling Grids for E-sciencE is introduced as it made our code porting very challenging, and the discussion presented is directly applicable to EGEE users. The final solution to the code poring problem is proposed, and its performance is examined. The solution to this problem be generally faced in the other large scale computation and so is applicable to users of other HPC facilities. This chapter gives a hint to those who have difficulties in applications with heavy data Input/Output (I/O) under the computational environment whose weak point is the data I/O.
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