opencl, opengl, webcl, webgl
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Scooped by Mikael Bourges-Sevenier
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Speeding up the small progress measures algorithm for parity games using the GPU

Speeding up the small progress measures algorithm for parity games using the GPU | opencl, opengl, webcl, webgl | Scoop.it
Solving parity games is interesting because it is equivalent to model checking for mu-calculus. The small progress measures (SPM) algorithm by Jurdzinski is originally a sequential algorithm for so...
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A Quantitative Comparison of Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs

A Quantitative Comparison of Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs | opencl, opengl, webcl, webgl | Scoop.it
The performance of current multicore CPUs and GPUs is limited in computations making frequent use of communication/synchronization between the subtasks executed in parallel. This is because the dir...
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Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs

Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Graphics processors (GPU - Graphic Processor Units) recently have gained a lot of interest as an efficient platform for general-purpose computation. Cellular Automata approach which is inherently p...
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A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA | opencl, opengl, webcl, webgl | Scoop.it
Connected component labeling (CCL) is a mandatory step in image segmentation where each object in an image is identified and uniquely labeled. Sequential CCL is a time-consuming operation and thus ...
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Exploiting Heterogeneous Systems: Keccak on OpenCL

Exploiting Heterogeneous Systems: Keccak on OpenCL | opencl, opengl, webcl, webgl | Scoop.it
Using graphics processing units (GPUs) in high-performance parallel computing continues to become more prevalent, often as part of a heterogeneous system. CUDA and OpenCL are APIs and enables progr...
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Divergence Analysis

Divergence Analysis | opencl, opengl, webcl, webgl | Scoop.it
The growing interest in graphics processing units has brought renewed attention to the Single Instruction Multiple Data (SIMD) execution model. SIMD machines give application developers tremendous ...
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Comparative Study of High Performance Computing Using Multi-core Parallel Systems

Comparative Study of High Performance Computing Using Multi-core Parallel Systems | opencl, opengl, webcl, webgl | Scoop.it
Multi-core based high performance computing systems are available with a reasonable price. Parallel programming paradigm needs to be adjusted to an individual system. Parallel computing systems wer...
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Real-time High Resolution Fusion of Depth Maps on GPU

Real-time High Resolution Fusion of Depth Maps on GPU | opencl, opengl, webcl, webgl | Scoop.it
A system for live high quality surface reconstruction using a single moving depth camera on a commodity hardware is presented. High accuracy and real-time frame rate is achieved by utilizing graphi...
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GPU and CPU Cooperative Accelerated Road Detection

GPU and CPU Cooperative Accelerated Road Detection | opencl, opengl, webcl, webgl | Scoop.it
In this paper, we propose a fast and robust unstructured road detection method that integrates GPU (Graphics Processing Unit) and CPU implementations. In order to ensure the robustness of the algor...
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CMSoft Dynamic Shader Beta Release

CMSoft Dynamic Shader Beta Release | opencl, opengl, webcl, webgl | Scoop.it
CMSoft Solutions in Computational Mathematics Software Soluções em Software de Matemática Computacional
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Design and Storage Optimization of GPU-based Parallel Program of Image Registration for Remote Sensing

Design and Storage Optimization of GPU-based Parallel Program of Image Registration for Remote Sensing | opencl, opengl, webcl, webgl | Scoop.it
Image registration is a crucial step of many remote sensing related applications. As the scale of data and complexity of algorithm keep growing, image registration faces great challenges of its pro...
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Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES | opencl, opengl, webcl, webgl | Scoop.it
SCALE-LES is a non-hydrostatic weather model developed at RIKEN, Japan. It is intended to be a global high- resolution model that would be scaled to exascale systems. This paper introduces the full...
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Benchmarking Parallel Performance on Many-Core Processors

Benchmarking Parallel Performance on Many-Core Processors | opencl, opengl, webcl, webgl | Scoop.it
With the emergence of many-core processor architectures onto the HPC scene, concerns arise regarding the performance and productivity of numerous existing parallel-programming tools, models, and la...
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Parallel tree-ensemble algorithms for GPUs using CUDA

Parallel tree-ensemble algorithms for GPUs using CUDA | opencl, opengl, webcl, webgl | Scoop.it
We present two new parallel implementations of the tree-ensemble algorithms Random Forest (RF) and Extremely randomized trees (ERT) for emerging many-core platforms, e.g., contemporary graphics car...
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A Distributed Data Mining Framework Accelerated with Graphics Processing Units

A Distributed Data Mining Framework Accelerated with Graphics Processing Units | opencl, opengl, webcl, webgl | Scoop.it
In the context of processing high volumes of data, the recent developments have led to numerous models and frameworks of distributed processing running on clusters of commodity hardware. On the oth...
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A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU | opencl, opengl, webcl, webgl | Scoop.it
Modern General Purpose Graphics Processing Units(GPGPUs) offer much more computational power than recent CPUs by providing a vast number of simple, data parallel, multithreaded cores. In this study...
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Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters | opencl, opengl, webcl, webgl | Scoop.it
SkePU is a C++ template library with a simple and unified interface for expressing data parallel computations in terms of generic components, called skeletons, on multi-GPU systems using CUDA and O...
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GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router | opencl, opengl, webcl, webgl | Scoop.it
Service-oriented router (SoR) is a new router architecture for providing rich services to Internet users by utilizing useful information extracted from network traffic. In SoR, stream reconstructio...
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HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU | opencl, opengl, webcl, webgl | Scoop.it
This paper compares two implementations of reconfigurable and high-throughput turbo decoders. The first implementation is optimized for an NVIDIA Kepler graphics processing unit (GPU), whereas the ...
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SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign

SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign | opencl, opengl, webcl, webgl | Scoop.it
Graphics processing units (GPUs) have become increasingly popular accelerators in supercomputers, and this trend is likely to continue. With its disruptive architecture and a variety of optimizatio...
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Multithreaded Transposition of Square Matrices with Common Code for Intel Xeon Processors and Intel Xeon Phi Coprocessors

Multithreaded Transposition of Square Matrices with Common Code for Intel Xeon Processors and Intel Xeon Phi Coprocessors | opencl, opengl, webcl, webgl | Scoop.it
In-place matrix transposition, a standard operation in linear algebra, is a memory bandwidth-bound operation. The theoretical maximum performance of transposition is the memory copy bandwidth. Howe...
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GPU Accelerated Parallel Occupancy Voxel Based ICP for Position Tracking

GPU Accelerated Parallel Occupancy Voxel Based ICP for Position Tracking | opencl, opengl, webcl, webgl | Scoop.it
Tracking the position of a robot in an unknown environment is an important problem in robotics. Iterative closest point algorithms using range data are commonly used for position tracking, but can ...
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Fractal Based Method on Hardware Acceleration for Natural Environments

Fractal Based Method on Hardware Acceleration for Natural Environments | opencl, opengl, webcl, webgl | Scoop.it
Natural scenes from the real world are highly complex, such that the modeling and rendering of natural shapes, like mountains, trees and clouds, are very difficult and time consuming and require a ...
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The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both? | opencl, opengl, webcl, webgl | Scoop.it
Recently, parallel programming has become necessary in order to obtain performance gains, primarily due to power limitations. However parallel architectures differ substantially from each other, of...
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