This paper proposes a novel technique for a program evolution based on probabilistic models. In the proposed method, two probabilistic distribution models with probabilistic depen...
This paper emphasizes on load balancing issues associated with hybrid programming models for the parallelization of fully permutable nested loops onto SMP clusters. Hybrid paralle...
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
The message-passing paradigm is now widely accepted and used mainly for inter-process communication in distributed memory parallel systems. However, one of its disadvantages is the...
Building distributed systems is an inherently difficult and complex task. Modern middleware architectures assist developers ding abstractions that hide transport layer functionali...