The general purpose computing on graphics processing unit (GP-GPU) has emerged as a new cost effective parallel computing paradigm in high performance computing research that enables large amount of data to be processed in parallel. Large scale scientific data intensive applications have been playing an important role in modern high performance computing research. A common access pattern into s...

High performance computing (HPC) presents a technology that allows solving high intensive problems in a reasonable period of time, and can offer many advantages for large applications in various fields of science and industry. Current multi-core processors, especially graphic processing units (GPUs), have quickly evolved to become efficient accelerators for data parallel computing. They can mai...

Many e-business or social-network servers have been constructed on cloud. On such open environments, private data of massive users have to be protected by encrypting, such as using AES (Advanced Encryption Standard), and furthermore, this process must be finished in short time for users’ better experience. This gives huge pressure on cloud servers, especially common servers, such as web servers...

Programming heterogeneous parallel computer systems is notoriously difficult, but MIMD models have proven to be portable across multi-core processors, clusters, and massively parallel systems. It would be highly desirable for GPUs (Graphics Processing Units) also to be able to leverage algorithms and programming tools designed for MIMD targets. Unfortunately, most GPU hardware implements a very...

The context of this work is related to the vertebra segmentation. The method we propose is based on the active shape model (ASM). An original approach taking advantage of the edge polygonal approximation was developed to locate the vertebra positions in a X-ray image. Despite the fact that segmentation results show good efficiency, the time is a key variable that has always to be optimized in a...

Nowadays Personal Computers (PCs) are often equipped with powerful, multi-core CPU. However, the processing power of the modern PC does not depend only of the processing power of the CPU and can be increased by proper use of the GPGPU, i.e. General-Purpose Computation Using Graphics Hardware. Modern graphics hardware, initially developed for computer graphics generation, appeared to be flexible...

The lattice Boltzmann method (LBM) is an innovative and promising approach in computational fluid dynamics. From an algorithmic standpoint it reduces to a regular data parallel procedure and is therefore well-suited to high performance computations. Numerous works report efficient implementations of the LBM for the GPU, but very few mention multi-GPU versions and even fewer GPU cluster implemen...

As a powerful and flexible processor, the Graphic Processing Unit (GPU) can offer a great faculty in solving many high-performance computing applications. Sweep3D, which simulates a single group time-independent discrete ordinates (Sn) neutron transport deterministically on 3D Cartesian geometry space, represents the key part of a real ASCI application. The wavefront process for parallel comput...

This work presents cost-effective multi-GPU parallel implementations of a finite volume numerical scheme for solving pollutant transport problems in bidimensional domains. The fluid is modelled by 2D shallow water equations, while the transport of pollutant is modelled by a transport equation. The 2D domain is discretized using a first order Roe finite volume scheme. Specifically, this paper pr...