Title :
Calculating Smarandache function in parallel
Author :
Tabirca, Sabin ; Tabirca, Tatiana ; Reynolds, Kieran ; Yang, Laurence T.
Author_Institution :
Dept. of Comput. Sci., UCC, Cork, Ireland
Abstract :
This article presents an efficient method to calculate in parallel the values of the Smarandache function S(i), i = 1, 2, ..., n. The value S(i) can be sequentially found with a complexity of i/(log i). The computation has an important constraint, which is to have consecutive values computed by the same processor. This makes the dynamic scheduling methods inapplicable. The proposed solution is based on a balanced workload block scheduling method. Experiments show that the method is efficient and generates a good load balance.
Keywords :
computational complexity; functions; number theory; parallel algorithms; resource allocation; Smarandache function; balanced workload block scheduling method; complexity; consecutive values; dynamic scheduling methods; load balancing; number theory; parallel calculation; Algorithm design and analysis; Computer science; Concurrent computing; Dynamic scheduling; Equations; Processor scheduling; User-generated content;
Conference_Titel :
Parallel and Distributed Computing, 2004. Third International Symposium on/Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks, 2004. Third International Workshop on
Print_ISBN :
0-7695-2210-6
DOI :
10.1109/ISPDC.2004.15