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OpenCLTemplate 1.165

CMSoft Solutions in Computational Mathematics Software Soluções em Software de Matemática Computacional
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Multi-GPU Parallel Computing and Task Scheduling under Virtualization

Multi-GPU Parallel Computing and Task Scheduling under Virtualization | opencl, opengl, webcl, webgl | Scoop.it
General Purpose Graphics Units (GPGPUS) have seen a tremendous rise in scientific computing application. To fully utilize the powerful parallel computing ability of GPU, and combine the isolation c...
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Face Search at Scale: 80 Million Gallery

Face Search at Scale: 80 Million Gallery | opencl, opengl, webcl, webgl | Scoop.it
Due to the prevalence of social media websites, one challenge facing computer vision researchers is to devise methods to process and search for persons of interest among the billions of shared phot...
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Introducing the Intel Modern Code Community

Introducing the Intel Modern Code Community | opencl, opengl, webcl, webgl | Scoop.it
In this slidecast from ISC 2015, Scott Apeland describes the new Intel Modern Code Developer Community.
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Nested Parallelism - insideHPC

Nested Parallelism - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
The benefits of nested parallelism on highly threaded applications can be determined and quantified.
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Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms | opencl, opengl, webcl, webgl | Scoop.it
Computer vision (CV) is widely expected to be the next big thing in mobile computing. The availability of a camera and a large number of sensors in mobile devices will enable CV applications that u...
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Real-time Ray tracing and Editing of Large Voxel Scenes

Real-time Ray tracing and Editing of Large Voxel Scenes | opencl, opengl, webcl, webgl | Scoop.it
A novel approach is presented to render large voxel scenes in real-time. The approach differs from existing solutions in that a large emphasis is put on allowing the user to edit and stream large d...
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An efficient KNN algorithm implemented on FPGA based heterogeneous computing system using OpenCL

An efficient KNN algorithm implemented on FPGA based heterogeneous computing system using OpenCL | opencl, opengl, webcl, webgl | Scoop.it
Accurate and efficient data classification techniques are of vital importance to many problems, and are rapidly developing in recent decades. K-Nearest Neighbor algorithm (KNN), as one of the most ...
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Processing Large-scale XML Files on GPGPU Cluster

Processing Large-scale XML Files on GPGPU Cluster | opencl, opengl, webcl, webgl | Scoop.it
XML has been used as a textual data format for transporting and storing information in many areas. However, the cost to process the large-scale XML file will become a serious issue for general proc...
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Efficient Convolutional Patch Networks for Scene Understanding

Efficient Convolutional Patch Networks for Scene Understanding | opencl, opengl, webcl, webgl | Scoop.it
In this paper, we present convolutional patch networks, which are convolutional (neural) networks (CNN) learned to distinguish different image patches and which can be used for pixel-wise labeling....
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Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing | opencl, opengl, webcl, webgl | Scoop.it
Generation of optimal codes is a well known problem in coding theory. Many computational approaches exist in the literature for finding record breaking codes. However generating codes with long len...
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Boosting GPU Virtualization Performance with Hybrid Shadow Page Tables

Boosting GPU Virtualization Performance with Hybrid Shadow Page Tables | opencl, opengl, webcl, webgl | Scoop.it
The increasing adoption of Graphic Process Unit (GPU) to computation-intensive workloads has stimulated a new computing paradigm called GPU cloud (e.g., Amazon's GPU Cloud), which necessitates the ...
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Performance Analysis of GPU-Accelerated Filter-Based Source Finding for HI Spectral Line Image Data

Performance Analysis of GPU-Accelerated Filter-Based Source Finding for HI Spectral Line Image Data | opencl, opengl, webcl, webgl | Scoop.it
Searching for sources of electromagnetic emission in spectral-line radio astronomy interferometric data is a computationally intensive process. Parallel programming techniques and High Performance ...
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Parallel Programming in Actor-Based Applications via OpenCL

Parallel Programming in Actor-Based Applications via OpenCL | opencl, opengl, webcl, webgl | Scoop.it
GPU and multicore hardware architectures are commonly used in many different application areas to accelerate problem solutions relative to single CPU architectures. The typical approach to accessin...
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A Data-oriented Method for Scheduling Dependent Tasks on High-density Multi-GPU Systems

A Data-oriented Method for Scheduling Dependent Tasks on High-density Multi-GPU Systems | opencl, opengl, webcl, webgl | Scoop.it
The rapidly-changing computer architectures, though improving the performance of computers, have been challenging the programming environments for efficiently harnessing the potential of novel arch...
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Real-Time Scheduling for GPUs with Applications in Advanced Automotive Systems

Real-Time Scheduling for GPUs with Applications in Advanced Automotive Systems | opencl, opengl, webcl, webgl | Scoop.it
Self-driving cars, once constrained to closed test tracks, are beginning to drive alongside human drivers on public roads. Loss of life or property may result if the computing systems of automated ...
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GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems | opencl, opengl, webcl, webgl | Scoop.it
While many of the architectural details of future exascale-class high performance computer systems are still a matter of intense research, there appears to be a general consensus that they will be ...
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OKL: A Unified Language for Parallel Architectures

OKL: A Unified Language for Parallel Architectures | opencl, opengl, webcl, webgl | Scoop.it
Rapid evolution of computer processor architectures has spawned multiple programming languages and standards. This thesis strives to address the challenges caused by fast and cyclical changes in pr...
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Optimization of a finite element code implemented in MATLAB: On the use of GPUs for High Performance Computing

Optimization of a finite element code implemented in MATLAB: On the use of GPUs for High Performance Computing | opencl, opengl, webcl, webgl | Scoop.it
The Department of Mechanical and Materials Engineering has developed a 2D Finite Element code based on geometry independent Cartesian grids (cgFEM) capable of solving shape optimization problems as...
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Fast-Coding Robust Motion Estimation Model in a GPU

Fast-Coding Robust Motion Estimation Model in a GPU | opencl, opengl, webcl, webgl | Scoop.it
Nowadays vision systems are used with countless purposes. Moreover, the motion estimation is a discipline that allow to extract relevant information as pattern segmentation, 3D structure or trackin...
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Irregular algorithms on the Xeon Phi

Irregular algorithms on the Xeon Phi | opencl, opengl, webcl, webgl | Scoop.it
The Xeon Phi is a coprocessor first released in 2012 by Intel. With x86 instruction set support, 60 cores and up to 2 teraflops of single-precision performance, the Xeon Phi seems promising and has...
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Comparison between GPU and parallel CPU optimizations in viewshed analysis

Comparison between GPU and parallel CPU optimizations in viewshed analysis | opencl, opengl, webcl, webgl | Scoop.it
Parallel CPU implementations of a viewshed algorithm using both multithreading and SIMD vectorization and GPU implementations were implemented and compared in this study. The results show that para...
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An algebraic parallel treecode in arbitrary dimensions

An algebraic parallel treecode in arbitrary dimensions | opencl, opengl, webcl, webgl | Scoop.it
We present a parallel treecode for fast kernel summation in high dimensions - a common problem in data analysis and computational statistics. Fast kernel summations can be viewed as approximation s...
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On the use of deep Boltzmann machines for road signs classification

On the use of deep Boltzmann machines for road signs classification | opencl, opengl, webcl, webgl | Scoop.it
The Deep Boltzmann Machine (DBM) has been proved to be one of the most effective machine learning generative models in discriminative tasks. They've been able to overcome other generative, and even...
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Raspberry Pi based System for Visual Object Detection and Tracking

Raspberry Pi based System for Visual Object Detection and Tracking | opencl, opengl, webcl, webgl | Scoop.it
The aim of this thesis is to explore different methods for helping computers interpret the real world visually, investigate solutions to those methods offered by the open-sourced computer vision li...
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Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster | opencl, opengl, webcl, webgl | Scoop.it
Present day market offers a large number of movies which overwhelm people with choices. In order to quickly navigate through all the possible movies and find the interesting ones, the user can take...
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