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This paper considers a method for accelerating finite-element simulations of electromagnetic problems on a workstation using graphics processing units (GPUs). The focus is on finite-element formulations using higher order elements and tetrahedral meshes that lead to sparse matrices too large to be dealt with on a typical workstation using direct methods. We discuss the problem of rapid matrix generation...
We present a localization system for autonomous mobile robot, that operates in conditions of well - known environment. In our work we use particle - based Monte - Carlo localization. This algorithm has many applications in mobile robotics, but it is computationally expensive. Due to high level of parallelism in this algorithm, we had an opportunity to accelerate its execution on graphical processing...
We present acceleration for numerical solving of electromagnetic (EM) problems by using method of moments (MoM) and NVIDIA graphics processing units (GPU). Three stages of MoM are accelerated: matrix fill, solution of complex linear equations and post-processing. The results show that GPUs can be efficiently used for EM simulations.
We present and compare implementations of an affine interior-point algorithm for real-time collision detection on a GPGPU and an FPGA. This particular interior-point algorithm is distinguished from other collision detection methods by its ability to perform detection between pairs of objects undergoing fast rotational and translational movement. This enables inter-frame collision detection, i.e. collision...
This article presents the details about the acceleration of 2D wavelet-based medical data (image) compression on MATLAB with CUDA. It is obvious that the diagnostic materials (mostly as acertain type of image) are increasingly acquired in a digital format. Therefore, common need to daily manipulate huge amount of data brought about the issue of compression within a very less stipulated amount of time...
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