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WebGL Crash Course

WebGL:A Crash CourseTony Parisihttp://www.tonyparisi.com/
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Calling CUDA-accelerated Libraries from MATLAB: A Computer Vision Example

Calling CUDA-accelerated Libraries from MATLAB: A Computer Vision Example | opencl, opengl, webcl, webgl | Scoop.it
In an earlier post we showed how MATLAB® can support CUDA kernel prototyping and development by providing an environment for quick evaluation and visualization using the CUDAKernel object. In this ...
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OMP2HMPP: HMPP Source Code Generation from Programs with Pragma Extensions

OMP2HMPP: HMPP Source Code Generation from Programs with Pragma Extensions | opencl, opengl, webcl, webgl | Scoop.it
High-performance computing are based more and more in heterogeneous architectures and GPGPUs have become one of the main integrated blocks in these, as the recently emerged Mali GPU in embedded sys...
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CUDT: A CUDA Based Decision Tree Algorithm

CUDT: A CUDA Based Decision Tree Algorithm | opencl, opengl, webcl, webgl | Scoop.it
Decision tree is one of the famous classification methods in data mining. Many researches have been proposed, which were focusing on improving the performance of decision tree. However, those algor...
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Understanding the ISA impact on GPU Architecture

Understanding the ISA impact on GPU Architecture | opencl, opengl, webcl, webgl | Scoop.it
The wide spread acceptance of GPU for parallel computation has created the demand for general purpose capabilities in GPU. In response, Industry is coming up rapidly with better architecture to sup...
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Parallel Computations for Hierarchical Agglomerative Clustering using CUDA

Parallel Computations for Hierarchical Agglomerative Clustering using CUDA | opencl, opengl, webcl, webgl | Scoop.it
Graphics Processing Units (GPU) in today's desktops can well be thought of as a high performance parallel processor. Traditionally, parallel computing is the usage of multiple computing resources t...
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Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions | opencl, opengl, webcl, webgl | Scoop.it
We have implemented, tested, validated and benchmarked a scalable parallel implementations of the integral histogram algorithm critical for computer vision tasks for fast multiscale subwindow-based...
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Accelerating Graph Betweenness Centrality with CUDA

Accelerating Graph Betweenness Centrality with CUDA | opencl, opengl, webcl, webgl | Scoop.it
Graph analysis is a fundamental tool for domains as diverse as social networks, computational biology, and machine learning. Real-world applications of graph algorithms involve tremendously large n...
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PowerVR Rogue GPUs achieve OpenGL ES 3.1 conformance, we go hands-on with a compute demo - Imagination Blog

PowerVR Rogue GPUs achieve OpenGL ES 3.1 conformance, we go hands-on with a compute demo - Imagination Blog | opencl, opengl, webcl, webgl | Scoop.it
OpenGL ES 3.1 brings a number of improvements over the previous API release, but perhaps the most exciting feature is the presence of compute shaders.
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Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU | opencl, opengl, webcl, webgl | Scoop.it
Local search metaheuristic algorithms are proven & powerful combinatorial optimization strategies to tackle hard problems like traveling salesman problem. These algorithms explore & evaluat...
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Efficient On-the-fly Category Retrieval using ConvNets and GPUs

Efficient On-the-fly Category Retrieval using ConvNets and GPUs | opencl, opengl, webcl, webgl | Scoop.it
We investigate the gains in precision and speed, that can be obtained by using Convolutional Networks (ConvNets) for on-the-fly retrieval - where classifiers are learnt at run time for a textual qu...
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Meet the 'smallest GPU' for wearable gizmos ... wait, where did it go?

Meet the 'smallest GPU' for wearable gizmos ... wait, where did it go? | opencl, opengl, webcl, webgl | Scoop.it
Nobody move, this Imagination chip was here somewhere. Where's the magnifying glass?
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The Use of GPUs for Solving the Computed Tomography Problem

The Use of GPUs for Solving the Computed Tomography Problem | opencl, opengl, webcl, webgl | Scoop.it
Computed tomography (CT) is a widespread method used to study the internal structure of objects. The method has applications in medicine, industry and other fields of human activity. In particular,...
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CUD@SAT: SAT Solving on GPUs

CUD@SAT: SAT Solving on GPUs | opencl, opengl, webcl, webgl | Scoop.it
The parallel computing power offered by Graphical Processing Units (GPUs) has been recently exploited to support general purpose applications-by exploiting the availability of general API and the S...
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Aristotle: A Performance Impact Indicator for the OpenCL Kernels Using Local Memory

Aristotle: A Performance Impact Indicator for the OpenCL Kernels Using Local Memory | opencl, opengl, webcl, webgl | Scoop.it
Due to the increasing complexity of multi/many-core architectures (with their mix of caches and scratch-pad memories) and applications (with different memory access patterns), the performance of ma...
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2112 Cores at Just 200 Watts: Introducing the Adapteva A-1 - insideHPC

2112 Cores at Just 200 Watts: Introducing the Adapteva A-1 - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
In this video from Primeur Magazine, Andreas Olofsson from Adapteva unveils the Adapteva A-1 prototype supercomputer at ISC'14.
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Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN | opencl, opengl, webcl, webgl | Scoop.it
A major challenge in computational neuroscience is to achieve high performance for real-time simulations of full size brain networks. Recent advances in GPU technology provide massively parallel, l...
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ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing | opencl, opengl, webcl, webgl | Scoop.it
GenSel is a genetic selection analysis tool used to determine which genetic markers are informational for a given trait. Performing genetic selection related analyses is a time consuming and comput...
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Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures | opencl, opengl, webcl, webgl | Scoop.it
The last decade saw the long tradition of frequency scaling of processing units grind to a halt, and efforts were re-focused on maintaining computational growth by other means; such as increased pa...
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ADHA: Automatic Data layout framework for Heterogeneous Architectures

ADHA: Automatic Data layout framework for Heterogeneous Architectures | opencl, opengl, webcl, webgl | Scoop.it
Data layouts play a crucial role in determining the performance of a given application running on a given architecture. Existing parallel programming frameworks for both multicore and heterogeneous...
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SC14 Publishes Technical Program - insideHPC

SC14 Publishes Technical Program - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
The SC14 conference has posted their full Technical Program schedule.
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Parallel Computing Trends

Parallel Computing Trends | opencl, opengl, webcl, webgl | Scoop.it
One of the most pressing issues faced by the HPC community is how to go about attracting and training the next generation of HPC users. The staff at Argonn
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Dark Sky Simulations: Early Data Release

Dark Sky Simulations: Early Data Release | opencl, opengl, webcl, webgl | Scoop.it
The Dark Sky Simulations are an ongoing series of cosmological N-body simulations designed to provide a quantitative and accessible model of the evolution of the large-scale Universe. Such models a...
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Intel Adds Vector Instructions for Knights Landing - insideHPC

Intel Adds Vector Instructions for Knights Landing - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
Additional vector instructions have now been documented for Intel AVX-512, which will be first implemented in Knights Landing.
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Increasing the Efficiency of Your GPU-enabled Cluster with rCUDA - insideHPC

Increasing the Efficiency of Your GPU-enabled Cluster with rCUDA - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
Federico Silla from the Universitat Politècnica de Valèncian presents: Increasing the efficiency of your GPU-enabled cluster with rCUDA.
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Efficient implementation of computationally intensive algorithms on parallel computing platforms

Efficient implementation of computationally intensive algorithms on parallel computing platforms | opencl, opengl, webcl, webgl | Scoop.it
Two different types of computationally intensive problems have been researched to investigate the design methodology of the acceleration and to give a high-performance implementation on parallel ar...
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