As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …

A large class of applications need to execute the same workflow on different datasets of
identical size. Efficient execution of such applications necessitates intelligent distribution of …

This paper describes designing a parallel GA with GPU computation to solve the quadratic
assignment problem (QAP) which is one of the hardest optimization problems in permutation …

Multi-GPU systems have emerged as a desirable platform to deliver high computing
capabilities and large memory capacity to accommodate large dataset sizes. However …

The emotional response a person has to a living space is predominantly affected by light,
color and texture as space-making elements. In order to verify whether this phenomenon …

GPUs have recently evolved into very fast parallel co-processors capable of executing
general purpose computations extremely efficiently. At the same time, multi-core CPUs …

P systems or membrane systems provide a high level computational modeling framework
that combines the structural and dynamic aspects of biological systems in a relevant and …

In recent years, the ever-growing application complexity and input dataset sizes have driven
the popularity of multi-GPU systems as a desirable computing platform for many application …

Multi-GPU systems have become a popular platform to meet the ever-growing application
demands. However, employing multiple GPUs does not guarantee proportional performance …

Motivated by high computation power and low price per performance ratio of GPUs, GPU
accelerated clusters are being built for high performance scientific computing. In this work …