May, 23

GPU-Assisted Ray Casting of Large Scenes

We implemented a pipelined rendering system that pre-renders a reduced set of a scene using the raster method built in the graphics hardware. The computation performed by the graphics card is used as an estimate for evaluating the initial traversal points for a ray caster running on the CPU. This procedure replaces the use of […]
May, 23

GPU-based color Doppler ultrasound processing

In this paper, we present the use of a graphics processing unit to perform color Doppler signal processing. Color Doppler has been mainly implemented on custom-designed hardware due to the large amount of data and number of computations that are involved. With an NVIDIA GeForce 260 GT, a frame rate of 45 fps for frames […]
May, 23

Maximum likelihood event estimation and list-mode image reconstruction on GPU hardware

The scintillation detectors commonly used in SPECT and PET imaging and in Compton cameras require estimation of the position and energy of each gamma ray interaction. Ideally, this process would yield images with no spatial distortion and the best possible spatial resolution. In addition, especially for Compton cameras, the computation must yield the best possible […]
May, 23

GPU-based framework for distributed interactive 3D visualization of multimodal remote sensing data

Interactive visualization of remote sensing data allows the user to explore the full scope of the data sets. Combining and comparing different modalities can give additional insight. In this paper, we present a 3D visualization framework for interactive exploration of remote sensing data. Data from different modalities can be combined into a single view. The […]
May, 23

Visualization and Analysis of GPU Summer School Applicants and Participants

With the development of petascale computing systems, a long-term effort is needed to educate and train the next generation of researchers. As part of its graduate education component, the Virtual School of Computational Science and Engineering held a summer school in August 2008 entitled "Accelerators for Science and Engineering Applications," providing participants with knowledge and […]
May, 23

Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU

In this paper, we apply the compute unified device architecture (CUDA) to the 3D cone-beam CT reconstruction using simultaneous algebraic reconstruction technique (SART). With the hardware acceleration, the computationally complex SART can run at speed comparable to the commonly used filtered back-projection, and provide even better quality volume with less samples. The main contributions include […]
May, 23

GPU-Based Cell Projection for Interactive Volume Rendering

We present a practical approach for implementing the projected tetrahedra (PT) algorithm for interactive volume rendering of unstructured data using programmable graphics cards. Unlike similar works reported earlier, our method employs two fragment shaders, one for computing the tetrahedra projections and another for rendering the elements. We achieve interactive rates by storing the model in […]
May, 22

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Although general purpose GPUs have relatively high computing capacity, they also introduce high power consumption compared with general purpose CPUs. Therefore low-power techniques targeted for GPUs will be one of the most hot topics in the future. On the other hand, in several application domains, users are unwilling to sacrifice performance to save power. In […]
May, 22

GPU-Accelerated Shape Simplification for Mechanical-Based Applications

In this paper we present a GPU-based method for removing shape details of 3D models. 3D models used in finite element analysis (FEA) are often either constructed for the purpose of manufacturing, or a result of 3D scanning. The models therefore contain shape details that are neither important for FEA nor compatible with the mechanical […]
May, 22

Secret Key Cryptography Using Graphics Cards

One frequently cited reason for the lack of wide deployment of cryptographic protocols is the (perceived) poor performance of the algorithms they employ and their impact on the rest of the system. Although high-performance dedicated cryptographic accelerator cards have been commercially available for some time, market penetration remains low. We take a different approach, seeking […]
May, 22

Realistic rendering of surface appearance using GPU

Summary form only given. We present techniques for realistic modeling surface details and efficient rendering of the associated visual effects using programmable GPUs. An important topic in rendering surface appearance is the treatment of mesostructures, which are responsible for fine-scale shadowing, occlusion, inter-reflectance, and silhouettes. One way to model surface mesostructure is by using the […]
May, 22

Scalable packet classification via GPU metaprogramming

Packet classification has been a fundamental processing pattern of modern networking devices. Today’s high-performance routers use specialized hardware for packet classification, but such solutions suffer from prohibitive cost, high power consumption, and poor extensibility. On the other hand, software-based routers offer the best flexibility, but could only deliver limited performance (
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Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

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Node 1
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  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
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  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

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