Title :
DIFOJO: a Java fork/join framework for heterogeneous networks
Author :
Luján, Mikel ; Mukarakate, Gibson ; Gurd, John R. ; Freeman, T.L.
Author_Institution :
Centre for Novel Comput., Manchester Univ., UK
Abstract :
Many object-oriented frameworks have focused on exploiting parallelism on either shared memory or distributed memory machines. This paper presents the design, implementation and preliminary evaluation of a Java-based framework that exploits both forms of parallel machine connected together to form heterogeneous environments. The framework readily supports implementation of problems that can be solved in parallel by a divide-and-conquer approach.
Keywords :
Java; distributed shared memory systems; divide and conquer methods; object-oriented programming; parallel machines; Java; distributed memory machine; divide-and-conquer approach; fork-join framework; heterogeneous networks; object-oriented framework; parallel machine; shared memory system; Concurrent computing; Distributed computing; Java; Logic; Packaging machines; Parallel machines; Parallel processing; Resource management; Workstations; Yarn;
Conference_Titel :
Parallel, Distributed and Network-Based Processing, 2005. PDP 2005. 13th Euromicro Conference on
Print_ISBN :
0-7695-2280-7
DOI :
10.1109/EMPDP.2005.17