The clock speeds of modern computer processors have nearly plateaued in the past 5 years. Consequently, neural prosthetic systems that rely on processing large quantities of data in a short period of time face a bottleneck, in that it may not be possible to process all of the data recorded from an electrode array with high channel counts and bandwidth, such as electrocorticographic grids or oth...

If the computational demands of an interactive graphics rendering application cannot be met by a single commodity Graphics Processing Unit (GPU), multiple graphics accelerators may be utilised on multi-GPU based systems such as SLI [1] or Crossfire [2] or by a cluster of PCs in conjunction with a software infrastructure. Typically these PC cluster solutions allow the application programmer to u...

In this paper, we apply Particle-based Volume Rendering (PBVR) technique using a current programmable GPU architecture. Recently, the increasing programmability of GPU offers an efficient method of SIMD parallel algorithm to solve the speed problem. Due to the each point or pixel can be calculated independently, we use programmable graphics hardware to delegate all expensive rendering tasks to ...

Graphics Processing Unit (GPU) computing represents a significant advancement in the continued evolution of flood modelling. BMT WBM the developers of TUFLOW are continually undertaking research work focusing on how best to use the software. This paper presents a range of GPU model validation results and summarises best practice recommendations on how to optimise execution to achieve fastest mo...

The particle filter (PF) has during the last decade been proposed for a wide range of localization and tracking applications. There is a general need in such embedded system to have a platform for efficient and scalable implementation of the PF. One such platform is the graphics processing unit (GPU), originally aimed to be used for fast rendering of graphics. To achieve this, GPUs are equipped...

We present a three-dimensional finite difference time domain (FDTD) method on graphics processing unit (GPU) for plasmonics applications. For the simulation of plasmonics devices, the Lorentz-Drude (LD) dispersive model is incorporated into Maxwell equations, while the auxiliary differential equation (ADE) technique is applied to the LD model. Our numerical experiments based on typical domain s...

Traffic simulation is a growing domain of computational physics. Many life and industrial applications would benefit from traffic simulation to establish reliable transportation systems. A core challenge of this science research, however, is its unbounded scale of computation. This paper explores an advantage of using the graphics processing unit (GPU) for this computational challenge. We study...

We present a brief report on the collision search for the reduced SHA-1. With a few improvements to our previous work, directed at efficient parallelization on a GPU cluster, we managed to construct a new collision for 75-step reduced SHA-1

The paper describes features of the multithreaded algorithms implementation on contemporary CPU and GPU. The features of access of a graphics processing unit (GPU) memory are reviewed. The bottlenecks have been identified, in which there is a loss of speed in image processing. Recommendations are made for optimization of algorithms for processing image of various size. Examples of implementatio...

The Graphics Processing Unit (GPU) in today’s commodity video cards can be considered to be a powerful streaming co-processor on modern desktop workstations. This power enables tremendous increases in performance of certain applications by performing computations on the GPU instead of the CPU and also has a promise for new classes of interactive applications that take advantage of GPU computing...