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Scooped by Mikael Bourges-Sevenier
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Massively Parallel Computing in Economics | hgpu.org

Massively Parallel Computing in Economics | CUDA, Finance, nVidia, Package, Review, Stochastic simulation, Tesla C2075
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pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video | hgpu.org

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video | Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660 Ti
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GLSL Core Tutorial – Texturing with Images plus Querying

GLSL Core Tutorial – Texturing with Images plus Querying | opencl, opengl, webcl, webgl | Scoop.it
The GLSL Core Tutorial has a new section for image texturing. Images are commonly used as wallpaper applied to 3D shapes to create a variety of effects. In this section we focus on the OpenGL and G...
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[Phoronix] Intel Ivy Bridge On Linux Properly Supports OpenGL ES 3.0

Phoronix is the leading technology website for Linux hardware reviews, open-source news, Linux benchmarks, open-source benchmarks, distribution screenshots, interviews, and computer hardware tests.
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Accelerated Wide Baseline Matching using OpenCL | hgpu.org

Accelerated Wide Baseline Matching using OpenCL | Computer science, Computer vision, Image registration, nVidia, nVidia GeForce 8800 GT, OpenCL
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Seismic Attributes Extraction Based on GPU | hgpu.org

Seismic Attributes Extraction Based on GPU | CUDA, Earth and Space Sciences, nVidia, Tesla C1060
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Parallel Unsmoothed Aggregation Algebraic Multigrid Algorithms on GPUs | hgpu.org

Parallel Unsmoothed Aggregation Algebraic Multigrid Algorithms on GPUs | CUDA, Mathematics, Numerical Analysis, nVidia, Tesla C2070
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A Networked Dataflow Simulation Environment for Signal Processing and Data Mining Applications | hgpu.org

A Networked Dataflow Simulation Environment for Signal Processing and Data Mining Applications | Computer vision, CUDA, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, SIFT, Signal processing, Thesis...
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A multi-lane traffic simulation model via continuous cellular automata | hgpu.org

A multi-lane traffic simulation model via continuous cellular automata | Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce GT 555 M, Package, Python
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Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels | hgpu.org

Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels | Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 275, Thesis
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Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce | hgpu.org

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce | Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050
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MATLAB and Python for GPU Computing | hgpu.org

MATLAB and Python for GPU Computing | Computer science, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTS, nVidia GeForce 9800 GX2, Python, Signal processing, Tesla C1060, Tesla C2050
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Hybrid parallel programming – evaluation of OpenACC | hgpu.org

Hybrid parallel programming – evaluation of OpenACC | Benchmarking, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 480, OpenACC, Thesis
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[Phoronix] NVIDIA/AMD OpenGL Benchmarks Of Unigine Valley

[Phoronix] NVIDIA/AMD OpenGL Benchmarks Of Unigine Valley | opencl, opengl, webcl, webgl | Scoop.it
Phoronix is the leading technology website for Linux hardware reviews, open-source news, Linux benchmarks, open-source benchmarks, distribution screenshots, interviews, and computer hardware tests.
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Extending the Computational Application of Reaction-Diffusion Chemistry by Modelling Artificial Neural Networks | hgpu.org

Extending the Computational Application of Reaction-Diffusion Chemistry by Modelling Artificial Neural Networks | Biology, Chemistry, CUDA, Neural networks, nVidia, nVidia GeForce 9600 M GT
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Implementing an architecture for efficient network traffic processing on modern graphics hardware | hgpu.org

Implementing an architecture for efficient network traffic processing on modern graphics hardware | Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480
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Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks | hgpu.org

Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks | Artificial intelligence, Computational Complexity, Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580...
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A volume segmentation approach based on GrabCut | hgpu.org

A volume segmentation approach based on GrabCut | Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 470
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Parallel Radix Sort on the GPU using C++ AMP - CodeProject

Parallel Radix Sort on the GPU using C++ AMP - CodeProject | opencl, opengl, webcl, webgl | Scoop.it
Examine the various approaches to implementing radix sort on the GPU.; Author: Debdatta Basu; Updated: 9 Feb 2013; Section: GPU Programming; Chapter: Platforms, Frameworks & Libraries; Updated: 9 Feb 2013...
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Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis | hgpu.org

Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis | ATI, ATI Radeon HD 5970, FEM, Finite element method, Heterogeneous systems, Image...
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Practical Patient-Specific Cardiac Blood Flow Simulations Using SPH | hgpu.org

Practical Patient-Specific Cardiac Blood Flow Simulations Using SPH | Collision detection, CUDA, Fluid simulation, Heart, Medicine, nVidia, nVidia GeForce GTX 590
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