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Scooped by Mikael Bourges-Sevenier
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Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU – A Case Study | hgpu.org

Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU – A Case Study | Algorithms, Computer science, Computer vision, Heterogeneous systems, OpenCL
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Enoch Onamusi's curator insight, April 2, 2013 12:15 AM

Now with the Graphics industry moving its focus now to mobile technology, Accelerating Computer Vision Algorithms Using OpenCL on Mobile Gpu can have a big effect on the way people look at mobile devices. Now when strategies like these are incoperated into the marketing industry, people should see more high performance mobile Gaming

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Parallel spatial data structures for interactive rendering | hgpu.org

Parallel spatial data structures for interactive rendering | 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Rendering, Thesis
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Just-in-time Acceleration of JavaScript | hgpu.org

Just-in-time Acceleration of JavaScript | Computer science, Java, nVidia, Performance, PTX, Tesla C1060
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GPU implementation of a deep learning network for image recognition tasks | hgpu.org

GPU implementation of a deep learning network for image recognition tasks | Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Thesis
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Parallel Particle Swarm Optimization for Image Segmentation | hgpu.org

Parallel Particle Swarm Optimization for Image Segmentation | Clustering, CUDA, Image processing, nVidia, nVidia GeForce G 110 M, Particle swarm optimization
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Selection of Task Implementations in the Nanos++ Runtime | hgpu.org

Selection of Task Implementations in the Nanos++ Runtime | Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090
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High Performance GPU Accelerated Local Optimization in TSP | hgpu.org

High Performance GPU Accelerated Local Optimization in TSP | Package
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3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach | hgpu.org

3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach | Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680
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A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches | hgpu.org

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches | Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Search, Tesla M2090
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SC13 Seeking Proposals for New Emerging Technologies Track - insideHPC

SC13 Seeking Proposals for New Emerging Technologies Track - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
The SC13 conference is seeking proposals for the Emerging Technologies Track, which is a new element of the Technical Program.
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GPU accelerated maximum cardinality matching algorithms for bipartite graphs | hgpu.org

GPU accelerated maximum cardinality matching algorithms for bipartite graphs | Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C2050
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Detecting Computer Viruses using GPUs | hgpu.org

Detecting Computer Viruses using GPUs | Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla C2050, Thesis
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Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures | hgpu.org

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures | Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GT 640, Security...
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Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection | hgpu.org

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection | Computed tomography, CT, CUDA, DirectX, Filtering, HLSL, Medicine, nVidia, nVidia Quadro FX 4000, Tomography...
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Parallelization Research of Circle Detection Based on Hough Transform | hgpu.org

Parallelization Research of Circle Detection Based on Hough Transform | Computer science, CUDA, nVidia, nVidia GeForce GTX 260
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CPU and/or GPU: Revisiting the GPU Vs. CPU Myth | hgpu.org

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth | Computer science, Databases, Hybrid computing, Image processing, nVidia, nVidia GeForce GT 520, Sparse matrix, Tesla T10
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Automated and interactive approaches for optimal surface finding based segmentation of medical image data | hgpu.org

Automated and interactive approaches for optimal surface finding based segmentation of medical image data | CUDA, Image processing, Medicine, nVidia, Tesla C1060, Thesis, Ultrasound, Visualization
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Simulation of a flowing snow avalanche using molecular dynamics | hgpu.org

Simulation of a flowing snow avalanche using molecular dynamics | Algorithms, Collision detection, Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce 8800 GT, Rendering
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Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs | hgpu.org

Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs | Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5800
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Performance Traps in OpenCL for CPUs | hgpu.org

Performance Traps in OpenCL for CPUs | Computer science, Memory model, OpenCL, Performance
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GPGPU-day 2012 | Platform Parallel

GPGPU-day 2012 | Platform Parallel | opencl, opengl, webcl, webgl | Scoop.it
On 28 June a GPGPU-day was held in Amsterdam, where researchers and professionals talk about their experiences with GPGPU, OpenCL, CUDA and alike techniques. Below is a video with the speakers and a short description of their talk.
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Exascale Software: Just a Few Orders of Magnitude | blog@CACM | Communications of the ACM

Exascale Software: Just a Few Orders of Magnitude | blog@CACM | Communications of the ACM | opencl, opengl, webcl, webgl | Scoop.it
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HPCwire: Intel Xeon Phi Versus 'Sandy Bridge'

HPCwire: Intel Xeon Phi Versus 'Sandy Bridge' | opencl, opengl, webcl, webgl | Scoop.it
How does the Phi coprocessor measure up to Xeon "Sandy Bridge" brand-mate?
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CU2rCU: A CUDA-to-rCUDA Converter | hgpu.org

CU2rCU: A CUDA-to-rCUDA Converter | Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tesla C1060, Tesla C2050, Thesis
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