high performance computing on graphics processing units: hgpu.org

In this paper we designed a remote sensing image data fusion algorithm on GPU (Graphics Processing Unit) using the programmability of GPU which is a parallel vector processor. Both of the forward IHS and inverse IHS transform computation were mapped into GPU. We realized parallel rendering and output of the three components of the IHS, […]

Fluid simulations based on Smoothed Particle Hydrodynamics (SPH) have been widely used for generating complex motion of fluid. However,implementation of searching particle neighbors on graphics processing unit (GPU) can not be satisfied till now. In this paper, we present a new grid-based neighbor search method on GPU for GPU-based SPH fluid simulation. Using this new […]

Advances in nonlinear dimensionality reduction provide a way to understand and visualize the underlying structure of complex data sets. The performance of large-scale nonlinear dimensionality reduction is of key importance in data mining, machine learning, and data analysis. In this paper, we concentrate on improving the performance of nonlinear dimensionality reduction using large-scale data sets […]

Physic-based fluid simulation is used extensively nowadays; however the traditional serial algorithm can’t satisfy the real-time requirement due to its complexity and computeintensive. The development of modern GPU makes this possible. In this paper, a Smoothed Particle Hydrodynamics (SPH) method for incompressible fluid was implemented using CUDA on GPU. Since the algorithm was executed on […]

The Siemens ECAT HRRT PET scanner has the potential to produce images of the human brain with spatial resolution better than 3 mm. MOLAR (a motion-compensation OSEM List-mode Algorithm for Resolution-recovery) was developed to provide reconstructions of HRRT data with the best possible accuracy and precision. However, a computer cluster is required to generate reconstructions […]

Multicore nodes have become ubiquitous in just a few years. At the same time, writing portable parallel software for multicore nodes is extremely challenging. Widely available programming models such as OpenMP and Pthreads are not useful for devices such as graphics cards, and more flexible programming models such as RapidMind are only available commercially. OpenCL […]

Summary form only given. I will talk about camera phones, how you can use camera as a sensor that gives natural access to the information about the real world around you (mobile augmented reality) and how you can combine general computation capability to combine several input images into better or more interesting output images (mobile […]

With the introduction of API’s like CUDA, Stream+ or OpenCL, modern Graphics Processing Units (GPU’s) can be easily employed for general purpose computing. Plus, their comparatively low price per GFLOP makes them interesting candidates for coprocessors in future embedded Electronic Control Units (ECUs). Yet, as car manufacturers thrive to reduce the Thermal Design Power (TDP) […]

As the number of cores and threads in manycore compute accelerators such as Graphics Processing Units (GPU) increases, so does the importance of on-chip interconnection network design. This paper explores throughput-effective network-on-chips (NoC) for future manycore accelerators that employ bulk-synchronous parallel (BSP) programming models such as CUDA and OpenCL. A hardware optimization is “throughput-effective” if […]

We present a Many-core Approach to Reconfigurable Computing (MARC), enabling efficient high-performance computing for applications expressed using parallel programming models such as OpenCL. The MARC system exploits abundant special FPGA resources such as distributed block memories and DSP blocks to implement complete single-chip high efficiency many-core micro architectures. The key benefits of MARC are that […]

Particle filtering is known as a robust approach for motion tracking by vision, at the cost of heavy computation in a high dimensional pose space. In this work, we describe a number of heuristics that we demonstrate to jointly improve robustness and real-time for motion capture. 3D human motion capture by monocular vision without markers […]

The discrete wavelet transform (DWT) is a powerful signal processing technique used in the JPEG 2000 image compression standard. The multi-resolution sub-band encoding provided by DWT allows for higher compression ratios, avoids blocking artifacts and enables progressive transmission of images. However, these advantages come at the expense of additional computational complexity. Achieving real-time or interactive […]