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Efficient GPU-Implementation of Adaptive Mesh Refinement for the Shallow-Water Equations

The shallow-water equations model hydrostatic flow below a free surface for cases in which the ratio between the vertical and horizontal length scales is small and are used to describe waves in lak...
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SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters | opencl, opengl, webcl, webgl | Scoop.it
The biomedical imagery, the numeric communications, the acoustic signal processing and many others digital signal processing applications (DSP) are present more and more everyday in the numeric wor...
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A Review on Parallelization of Node based Game Tree Search Algorithms on GPU

A Review on Parallelization of Node based Game Tree Search Algorithms on GPU | opencl, opengl, webcl, webgl | Scoop.it
Game tree search is a classical problem in the field of game theory and artificial intelligence. Focus of the system is on how to leverage massive parallelism capabilities of GPUs to accelerate the...
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DeepSpeech: Scaling up end-to-end speech recognition

DeepSpeech: Scaling up end-to-end speech recognition | opencl, opengl, webcl, webgl | Scoop.it
We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional speech systems, which rely on laboriousl...
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Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options

Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options | opencl, opengl, webcl, webgl | Scoop.it
Past researches on multicore scheduling assume that a computational unit has already been parallelized into a prefixed number of threads. However, with recent technologies such as OpenCL, a computa...
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Intel Xeon Phi Used in Australia's DUG Oil and Gas Supercomputer - TechEnablement

Intel Xeon Phi Used in Australia's DUG Oil and Gas Supercomputer - TechEnablement | opencl, opengl, webcl, webgl | Scoop.it
Equivalent to the 8th largest system in the world, Australia's DownUnder GeoSolutions has purchased a Xeon Phi equipped supercomputer from SGI for Oil and Gas.
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Easy-to-Use On-the-Fly Binary Program Acceleration on Many-Cores

Easy-to-Use On-the-Fly Binary Program Acceleration on Many-Cores | opencl, opengl, webcl, webgl | Scoop.it
This paper introduces Binary Acceleration At Runtime (BAAR), an easy-to-use on-the-fly binary acceleration mechanism which aims to tackle the problem of enabling existent software to automatically ...
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Our PowerVR Graphics SDK is now on GitHub - Imagination Blog

Our PowerVR Graphics SDK is now on GitHub - Imagination Blog | opencl, opengl, webcl, webgl | Scoop.it
We have started using GitHub as an alternative distribution channel for our PowerVR Graphics SDK.
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An Optimized GPU Memory Hierarchy Design for an OpenCL Kernel

An Optimized GPU Memory Hierarchy Design for an OpenCL Kernel | opencl, opengl, webcl, webgl | Scoop.it
With the advent of multi and many-core processors, communication has replaced computation as the performance bottleneck. Most current approaches to the problem try to tolerate memory access latency...
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Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification

Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification | opencl, opengl, webcl, webgl | Scoop.it
We present highly efficient algorithms for performing forward and backward propagation of Convolutional Neural Network (CNN) for pixelwise classification on images. For pixelwise classification tas...
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Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives

Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives | opencl, opengl, webcl, webgl | Scoop.it
The use of GPUs for general purpose computation has increased dramatically in the past years due to the rising demands of computing power and their tremendous computing capacity at low cost. Hence,...
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Bamboo: Automatic Translation of MPI Source into a Latency-Tolerant Form

Bamboo: Automatic Translation of MPI Source into a Latency-Tolerant Form | opencl, opengl, webcl, webgl | Scoop.it
Communication remains a significant barrier to scalability on distributed-memory systems. At present, the trend in architectural system design, which focuses on enhancing node performance, exacerba...
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Strong scaling of general-purpose molecular dynamics simulations on GPUs

Strong scaling of general-purpose molecular dynamics simulations on GPUs | opencl, opengl, webcl, webgl | Scoop.it
We describe a highly optimized implementation of MPI domain decomposition in a GPU-enabled, general-purpose molecular dynamics code, HOOMD-blue (Anderson and Glotzer, arXiv:1308.5587). Our approach...
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cuLGT: Lattice Gauge Fixing on GPUs

cuLGT: Lattice Gauge Fixing on GPUs | opencl, opengl, webcl, webgl | Scoop.it
We adopt CUDA-capable Graphic Processing Units (GPUs) for Landau, Coulomb and maximally Abelian gauge fixing in 3+1 dimensional SU(3) and SU(2) lattice gauge field theories. A combination of simula...
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A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL

A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL | opencl, opengl, webcl, webgl | Scoop.it
All-pairs shortest path problem(APSP) finds a large number of practical applications in real world. We owe to present a highly parallel and recursive solution for solving APSP problem based on Klee...
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Efficient Workload Balancing on Heterogeneous GPUs using Mixed-Integer Non-Linear Programming

Efficient Workload Balancing on Heterogeneous GPUs using Mixed-Integer Non-Linear Programming | opencl, opengl, webcl, webgl | Scoop.it
Recently, heterogeneous system architectures are becoming mainstream for achieving high performance and power efficiency. In particular, many-core graphics processing units (GPUs) now play an impor...
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Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning

Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning | opencl, opengl, webcl, webgl | Scoop.it
Dictionary training for sparse representations involves dealing with large chunks of data and complex algorithms that determine time consuming implementations. SBO is an iterative dictionary learni...
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Performance Comparison of GPUs with a Genetic Algorithm based on CUDA

Performance Comparison of GPUs with a Genetic Algorithm based on CUDA | opencl, opengl, webcl, webgl | Scoop.it
Generally genetic algorithm (GA) has disadvantage of taking a lot of computation time, and it is worth reducing the execution time while keeping good quality and result. Comparative experiments are...
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MatConvNet - Convolutional Neural Networks for MATLAB

MatConvNet - Convolutional Neural Networks for MATLAB | opencl, opengl, webcl, webgl | Scoop.it
MatConvNet is an implementation of Convolutional Neural Networks (CNNs) for MATLAB. The toolbox is designed with an emphasis on simplicity and flexibility. It exposes the building blocks of CNNs as...
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Multi-Centroid PSO Classification Learning on the GPU

Multi-Centroid PSO Classification Learning on the GPU | opencl, opengl, webcl, webgl | Scoop.it
Training classifiers can be seen as an optimization problem. With this view, we have developed a method to train a type of nearest centroid classifier with PSO. Results showed an improvement on mos...
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Graph Processing on GPU

Graph Processing on GPU | opencl, opengl, webcl, webgl | Scoop.it
Graph mining and data management has become a significant area because more and more new applications to various data mining problems in social networking, computational biology, chemical data anal...
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Heuristics for Conversion Process of GPU's Kernels for Multiples Kernels with Concurrent Optimization Divergence

Heuristics for Conversion Process of GPU's Kernels for Multiples Kernels with Concurrent Optimization Divergence | opencl, opengl, webcl, webgl | Scoop.it
Graphics Processing Units have been created with the objective of accelerating the construction and processing of graphic images. In its historical evolution line, concerned with the large computat...
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C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++ | opencl, opengl, webcl, webgl | Scoop.it
Capitalize on the faster GPU processors in today’s computers with the C++ AMP code library—and bring massive parallelism to your project. With this practical book, experienced C++ developers will l...
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Compiler-Level Explicit Cache for a GPGPU Programming Framework

Compiler-Level Explicit Cache for a GPGPU Programming Framework | opencl, opengl, webcl, webgl | Scoop.it
GPU is widely used for high-performance computing. However, standard programming framework such as CUDA and OpenCL requires low-level specifications, thus programming is difficult and the performan...
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