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Scooped by Mikael Bourges-Sevenier
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Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing | opencl, opengl, webcl, webgl | Scoop.it
On the work sharing among GPUs and CPU cores on GPU equipped clusters, it is a critical issue to keep load balance among these heterogeneous computing resources. We have been developing a runtime s...
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Large-Scale Paralleled Sparse Principal Component Analysis

Large-Scale Paralleled Sparse Principal Component Analysis | opencl, opengl, webcl, webgl | Scoop.it
Principal component analysis (PCA) is a statistical technique commonly used in multivariate data analysis. However, PCA can be difficult to interpret and explain since the principal components (PCs...
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Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation | opencl, opengl, webcl, webgl | Scoop.it
This paper spotlights the maintaining of scene boundary detection system in video and process of porting it to the OpenCL. The scene boundary detection algorithm proposed by authors is based on bot...
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Fast Training of Convolutional Networks through FFTs

Fast Training of Convolutional Networks through FFTs | opencl, opengl, webcl, webgl | Scoop.it
Convolutional networks are one of the most widely employed architectures in computer vision and machine learning. In order to leverage their ability to learn complex functions, large amounts of dat...
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Speed-Up Improvement Using Parallel Approach in Image Steganography

Speed-Up Improvement Using Parallel Approach in Image Steganography | opencl, opengl, webcl, webgl | Scoop.it
This paper presents a parallel approach to improve the time complexity problem associated with sequential algorithms. An image steganography algorithm in transform domain is considered for implemen...
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Resource Centered Computing delivering high parallel performance

Resource Centered Computing delivering high parallel performance | opencl, opengl, webcl, webgl | Scoop.it
Modern parallel programming requires a combination of different paradigms, expertise and tuning, that correspond to the different levels in today's hierarchical architectures. To cope with the inhe...
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Videogame Graphics, BigData & Analytics

Videogame Graphics, BigData & Analytics | opencl, opengl, webcl, webgl | Scoop.it
The purpose of this coffee shop read is to attempt to highlight the criticality of videogames as a component of the "Convergence" of some amazing technologies (in particular: Cloud, Gamin...
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Towards global composition of performance-aware components for GPU-based systems

Towards global composition of performance-aware components for GPU-based systems | opencl, opengl, webcl, webgl | Scoop.it
An important program optimization especially for heterogeneous parallel systems is performance-aware implementation selection which is (static or dynamic) selection between multiple implementation ...
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Pannotia: Understanding Irregular GPGPU Graph Applications

Pannotia: Understanding Irregular GPGPU Graph Applications | opencl, opengl, webcl, webgl | Scoop.it
GPUs have become popular recently to accelerate general-purpose data-parallel applications. However, most existing work has focused on GPU-friendly applications with regular data structures and acc...
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Heterogeneous Programming with Single Operation Multiple Data

Heterogeneous Programming with Single Operation Multiple Data | opencl, opengl, webcl, webgl | Scoop.it
Heterogeneity is omnipresent in today's commodity computational systems, which comprise at least one multi-core Central Processing Unit (CPU) and one Graphics Processing Unit (GPU). Nonetheless, al...
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Fast Image Alignment with Fourier Moment Matching on GPU

Fast Image Alignment with Fourier Moment Matching on GPU | opencl, opengl, webcl, webgl | Scoop.it
In this paper, we develop a fast and accurate image alignment system which can be applied to image sequences in real time. The proposed image alignment system consists of two main components: the d...
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A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction

A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction | opencl, opengl, webcl, webgl | Scoop.it
We propose a convex relaxation approach to space-time 3D reconstruction from multiple videos. Generalizing the works [16], [8] to the 4D setting, we cast the problem of reconstruction over time as ...
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Building Multiclass Nonlinear Classifiers with GPUs

Building Multiclass Nonlinear Classifiers with GPUs | opencl, opengl, webcl, webgl | Scoop.it
The adoption of multiclass classification strategies that train independent binary classifiers becomes challenging when the goal is to retrieve nonlinear models from large datasets and the process ...
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Transparent Checkpoint-Restart for Hardware-Accelerated 3D Graphics

Transparent Checkpoint-Restart for Hardware-Accelerated 3D Graphics | opencl, opengl, webcl, webgl | Scoop.it
A mechanism for transparent GPU-independent checkpoint-restart of 3D graphics is described. The approach is based on a record-prune-replay paradigm: all OpenGL calls relevant to the graphics driver...
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Numerical Simulation for the MHD System in 2D Using OpenCL

Numerical Simulation for the MHD System in 2D Using OpenCL | opencl, opengl, webcl, webgl | Scoop.it
In this work we compute the MHD equations with divergence cleaning on GPU. The method is based on the finite volume approach and Strang dimensional splitting. The simplicity of the approach makes i...
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Energy Auto-tuning using the Polyhedral Approach

Energy Auto-tuning using the Polyhedral Approach | opencl, opengl, webcl, webgl | Scoop.it
As the HPC community moves into the exascale computing era, application energy has become a big concern. Tuning for energy will be essential in the effort to overcome the limited power envelope. Ho...
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Parallel Compact Genetic Algorithm on CUDA-C Platform

Parallel Compact Genetic Algorithm on CUDA-C Platform | opencl, opengl, webcl, webgl | Scoop.it
This paper deals about the parallel implementation of the compact Genetic Algorithm on the Compute Unified Device Architecture (CUDA) platform of GPU. We elaborate implementation details on the par...
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Architecting an LTE Base Station with Graphics Processing Units

Architecting an LTE Base Station with Graphics Processing Units | opencl, opengl, webcl, webgl | Scoop.it
Due to the rapid growth of mobile communication, wireless base stations are becoming a significant consumer of computational resources. Historically, base stations have been built from ASICs, DSP p...
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A simple sum example, from CPU to OpenMP to OpenCL to GPU - Blog - StreamComputing

A simple sum example, from CPU to OpenMP to OpenCL to GPU - Blog - StreamComputing | opencl, opengl, webcl, webgl | Scoop.it
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Warps and Atomics: Beyond Barrier Synchronization in the Verification of GPU Kernels

Warps and Atomics: Beyond Barrier Synchronization in the Verification of GPU Kernels | opencl, opengl, webcl, webgl | Scoop.it
We describe the design and implementation of methods to support reasoning about data races in GPU kernels where constructs other than the standard barrier primitive are used for synchronization. At...
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A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering | opencl, opengl, webcl, webgl | Scoop.it
We present a new BSSRDF representation for editing measured anisotropic heterogeneous translucent materials, such as veined marble, jade, artificial stones with lighting-blocking discontinuities. O...
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A comparative analysis of the performance and deployment overhead of parallelized Finite Difference Time Domain (FDTD) algorithms on a selection of high performance multiprocessor computing systems

A comparative analysis of the performance and deployment overhead of parallelized Finite Difference Time Domain (FDTD) algorithms on a selection of high performance multiprocessor computing systems | opencl, opengl, webcl, webgl | Scoop.it
The parallel FDTD method as used in computational electromagnetics is implemented on a variety of different high performance computing platforms. These parallel FDTD implementations have regularly ...
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