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Scalable Solution of Radiative Heat Transfer Problems by the Photon Monte Carlo Algorithm on Hybrid Computing Architectures | hgpu.org

Scalable Solution of Radiative Heat Transfer Problems by the Photon Monte Carlo Algorithm on Hybrid Computing Architectures | Hybrid computing, Monte Carlo simulation, nVidia, OpenCL, Physics, Raytracing, Tesla S2050...
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XBOOLE-CUDA: Fast Boolean Operations on the GPU

XBOOLE-CUDA: Fast Boolean Operations on the GPU | opencl, opengl, webcl, webgl | Scoop.it
The Boolean domain faces us with the exponential complexity of Boolean functions and the technological progress in micro- and nano-electronics allows increasing numbers of Boolean variables. This r...
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A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction

A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction | opencl, opengl, webcl, webgl | Scoop.it
Background subtraction is an essential first stage in many vision applications differentiating foreground pixels from the background scene, with Mixture of Gaussians (MoG) being a widely used imple...
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A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs | opencl, opengl, webcl, webgl | Scoop.it
Programming models such as CUDA and OpenCL allow the programmer to specify the independence of threads, effectively removing ordering constraints. Still, parallel architectures such as the graphics...
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DailyJS: verb: A CAD Library for the Web

DailyJS: verb: A CAD Library for the Web | opencl, opengl, webcl, webgl | Scoop.it
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Study on semi-global matching algorithm extended for multi baseline matching and parallel processing method based on GPU

Study on semi-global matching algorithm extended for multi baseline matching and parallel processing method based on GPU | opencl, opengl, webcl, webgl | Scoop.it
This paper extended semi-global matching algorithm into multi baseline matching to improve matching reliability, especially studies kernel function optimization strategies and GPU threads' executin...
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Performance Evaluation of Edge Detection Techniques on GPU Using OpenCL

Performance Evaluation of Edge Detection Techniques on GPU Using OpenCL | opencl, opengl, webcl, webgl | Scoop.it
GPU (Graphic processing system) enhance the performance of the performance of the computing field due to its hundreds of cores in parallel. CUDA (Compute Unified Device Architecture) and OpenCL (Op...
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Computational Gravitational Dynamics with Modern Numerical Accelerators

Computational Gravitational Dynamics with Modern Numerical Accelerators | opencl, opengl, webcl, webgl | Scoop.it
We review the recent optimizations of gravitational N-body kernels for running them on graphics processing units (GPUs), on single hosts and massive parallel platforms. For each of the two main N-b...
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Advanced Optimizations of An Implicit Navier-Stokes Solver on GPGPU

Advanced Optimizations of An Implicit Navier-Stokes Solver on GPGPU | opencl, opengl, webcl, webgl | Scoop.it
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel computation platform, which is is particularly attractive for CFD tasks due to its potential of one o...
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Parallel Primitive Optimization for GPU and Multicore

Parallel Primitive Optimization for GPU and Multicore | opencl, opengl, webcl, webgl | Scoop.it
This thesis focuses on the use of automatic code generation to combine different classes of optimizations to find the best optimization for parallel reduction in OpenCL on various devices. It also ...
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Parallel Hierarchical Clustering on the GPU

Parallel Hierarchical Clustering on the GPU | opencl, opengl, webcl, webgl | Scoop.it
Clustering is a basic task in exploratory data analysis. It is used to partition elements of a set into disjoint groups, so-called clusters, such that elements within a group are similar to each ot...
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AI Researchers Talk Up Benefits of GPUs for Deep Learning

AI Researchers Talk Up Benefits of GPUs for Deep Learning | opencl, opengl, webcl, webgl | Scoop.it
With the ability to deliver TF/s to PF/s of performance even on nonlinear problems, deep-learning researchers who participated in the ImageNet competition are espousing the charms of GPU computing ...
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Automated Software Testing of Memory Performance in Embedded GPUs

Automated Software Testing of Memory Performance in Embedded GPUs | opencl, opengl, webcl, webgl | Scoop.it
Embedded and real-time software is often constrained by several temporal requirements. Therefore, it is important to design embedded software that meets the required performance goal. The inception...
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Goo Technologies rises with WebGL

Goo Technologies rises with WebGL | opencl, opengl, webcl, webgl | Scoop.it
Goo Technologies rises with #WebGL - good read http://t.co/8CyHue8Ga0
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Decoupling algorithms from the organization of computation for high performance image processing

Decoupling algorithms from the organization of computation for high performance image processing | opencl, opengl, webcl, webgl | Scoop.it
Future graphics and imaging applications-from self-driving cards, to 4D light field cameras, to pervasive sensing-demand orders of magnitude more computation than we currently have. This thesis arg...
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NAS Parallel Benchmarks for GPGPUs using a Directive-based Programming Model

NAS Parallel Benchmarks for GPGPUs using a Directive-based Programming Model | opencl, opengl, webcl, webgl | Scoop.it
The broad adoption of accelerators boosts the interest in accelerator programming. Accelerators such as GPGPUs are optimized for throughput and offer high GFLOPS and memory bandwidth. CUDA has been...
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An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU | opencl, opengl, webcl, webgl | Scoop.it
This paper describes & evaluates a fast, hybrid implementation of the Advanced Encryption Standard with 256 bit keys (AES-256) block encryption in Galois/Counter Mode (GCM). The implementation ...
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Scalability Analysis of Parallel Algorithms on GPU Clusters

Scalability Analysis of Parallel Algorithms on GPU Clusters | opencl, opengl, webcl, webgl | Scoop.it
Scalability is an important concept in the domain of parallel computing. Since Graphics Processing Unit (GPU) clusters are and will be widely utilized in high performance computing platforms, we in...
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MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs | opencl, opengl, webcl, webgl | Scoop.it
Cross-validation is a commonly used method for evaluating the effectiveness of Support Vector Machines (SVMs). However, existing SVM cross-validation algorithms are not scalable to large datasets b...
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CUDA Pro Tip: Use cuFFT Callbacks for Custom Data Processing

CUDA Pro Tip: Use cuFFT Callbacks for Custom Data Processing | opencl, opengl, webcl, webgl | Scoop.it
Digital signal processing (DSP) applications commonly transform input data before performing an FFT, or transform output data afterwards. For example, if the input data is supplied as low-resolutio...
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Explicit Integration with GPU Acceleration for Large Kinetic Networks

Explicit Integration with GPU Acceleration for Large Kinetic Networks | opencl, opengl, webcl, webgl | Scoop.it
We demonstrate the first implementation of recently-developed fast explicit kinetic integration algorithms on modern graphics processing unit (GPU) accelerators. Taking as a generic test case a Typ...
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Luxoft Introduces the Next Generation VP9 Video Codec for 4K/UltraHD - Press Release - Digital Journal

NEW YORK--(Business Wire)--Luxoft Holding, Inc (NYSE:LXFT), a leading provider of software
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Interactive Ray Tracing with Data Locality Optimizations

Interactive Ray Tracing with Data Locality Optimizations | opencl, opengl, webcl, webgl | Scoop.it
Ray tracing denotes a class of rendering algorithms that are well-known for their flexibility and their capability of generating highly realistic images of three dimensional models. However, due to...
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High performance histogramming on massively parallel processors

High performance histogramming on massively parallel processors | opencl, opengl, webcl, webgl | Scoop.it
Histogramming is a technique by which input datasets are mined to extract features and patterns. Histograms have wide range of uses in computer vision, machine learning, database processing, qualit...
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Free Book From Altera Includes OpenCL on FPGA Section

Free Book From Altera Includes OpenCL on FPGA Section | opencl, opengl, webcl, webgl | Scoop.it
Altera has just released a free ebook “FPGAs for dummies” simply by registering to get a copy. The OpenCL sections are very high-level, composed mainly of a single block-diagram and a few paragraph...
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Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms | opencl, opengl, webcl, webgl | Scoop.it
SIMD accelerators and many-core coprocessors with coarse-grained and fine-grained level parallelism, become more and more popular. Streaming SIMD Extensions (SSE), Graphics Processing Unit (GPU), a...
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