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Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study | hgpu.org

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study | Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 460, OpenCL, Performance...
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Scooped by Mikael Bourges-Sevenier
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Fast-Fourier-Transform-Based Electrical Noise Measurements

Fast-Fourier-Transform-Based Electrical Noise Measurements | opencl, opengl, webcl, webgl | Scoop.it
We have shown how the Fourier spectrum and the power spectral density can be estimated in concrete measurements. Moreover, we have derived spectral leakage, which is a systematic error in spectrum ...
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A Performance Comparison of Sort and Scan Libraries for GPUs

A Performance Comparison of Sort and Scan Libraries for GPUs | opencl, opengl, webcl, webgl | Scoop.it
Sorting and scanning are two fundamental primitives for constructing highly parallel algorithms. A number of libraries now provide implementations of these primitives for GPUs, but there is relativ...
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Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm | opencl, opengl, webcl, webgl | Scoop.it
Tracking objects in a video stream is an important problem in robot learning (learning an object's visual features from different perspectives as it moves, rotates, scales, and is subjected to some...
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Corel(R) AfterShot(TM) Pro 2.1 Brings HDR to Mac and Linux, Adds Support for 17 Cameras

Corel(R) AfterShot(TM) Pro 2.1 Brings HDR to Mac and Linux, Adds Support for 17 Cameras | opencl, opengl, webcl, webgl | Scoop.it
OTTAWA, ONTARIO--(Marketwired - Oct. 16, 2014) - Editors Note: There are three photos associated with this press release.
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Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units | opencl, opengl, webcl, webgl | Scoop.it
We revisit the implementation of iterative solvers on discrete graphics processing units and demonstrate the benefit of implementations using extensive kernel fusion for pipelined formulations over...
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OpenCL Implementation of Montgomery Multiplication on FPGA

OpenCL Implementation of Montgomery Multiplication on FPGA | opencl, opengl, webcl, webgl | Scoop.it
Galois Field arithmetic has been used very frequently in popular security and error-correction applications. Montgomery multiplication is among the suitable methods used for accelerating modular mu...
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Preparing for Manycore

Preparing for Manycore | opencl, opengl, webcl, webgl | Scoop.it
One of several insightful presentations to come out of the DOE Computational Science Graduate Fellowship was delivered by Katie Antypas, Services Departmen
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Random Address Permute-Shift Technique for the Shared Memory on GPUs

Random Address Permute-Shift Technique for the Shared Memory on GPUs | opencl, opengl, webcl, webgl | Scoop.it
The Discrete Memory Machine (DMM) is a theoretical parallel computing model that captures the essence of memory access to the shared memory of a streaming multiprocessor on CUDA-enabled GPUs. The D...
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A Case Study of OpenCL on an Android Mobile GPU

A Case Study of OpenCL on an Android Mobile GPU | opencl, opengl, webcl, webgl | Scoop.it
An observation in supercomputing in the past decade illustrates the transition of pervasive commodity products being integrated with the world's fastest system. Given today's exploding popularity o...
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GPU Startup? Apply for the $100K Early Stage Challenge - insideHPC

GPU Startup? Apply for the $100K Early Stage Challenge - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
Nvidia is looking for a dozen would-be competitors for the Early Stage Challenge – where hot young startups using GPUs vie for a single $100,000 on-the-spot prize.
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Performance Improvement of Multichannel Audio by Graphics Processing Units

Performance Improvement of Multichannel Audio by Graphics Processing Units | opencl, opengl, webcl, webgl | Scoop.it
Multichannel acoustic signal processing has undergone major development in recent years due to the increased complexity of current audio processing applications. People want to collaborate through ...
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Heterogeneous computing with an algorithmic skeleton framework

Heterogeneous computing with an algorithmic skeleton framework | opencl, opengl, webcl, webgl | Scoop.it
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very ...
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Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition | opencl, opengl, webcl, webgl | Scoop.it
Long short-term memory (LSTM) based acoustic modeling methods have recently been shown to give state-of-the-art performance on some speech recognition tasks. To achieve a further performance improv...
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A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models

A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models | opencl, opengl, webcl, webgl | Scoop.it
The advent of high performance computing (HPC) and graphics processing units (GPU), present an enormous computation resource for Large data transactions (big data) that require parallel processing ...
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GPUdb: A Distributed Database for Many-Core Devices - insideHPC

GPUdb: A Distributed Database for Many-Core Devices - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
GPUdb is a scalable, distributed database with SQL-style query capability, capable of storing Big Data.
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Parallel Programming and Compressed Material Data for an Eulerian Code

Parallel Programming and Compressed Material Data for an Eulerian Code | opencl, opengl, webcl, webgl | Scoop.it
We describe the problem of iterating over mesh zones and iterating over material data within a zone, in the context of relatively new compute architectures. We present an example for how this can b...
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The Distribution of OpenCL Kernel Execution Across Multiple Devices

The Distribution of OpenCL Kernel Execution Across Multiple Devices | opencl, opengl, webcl, webgl | Scoop.it
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framework, can program individual CPUs or GPUs; however, distributing a problem across multiple devices ...
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Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations | opencl, opengl, webcl, webgl | Scoop.it
The Hierarchical Memory Machine (HMM) is a theoretical parallel computing model that captures the essence of computing on CUDA-enabled GPUs. The summed area table (SAT) of a matrix is a data struct...
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Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform | opencl, opengl, webcl, webgl | Scoop.it
This paper presents the details of a Synthetic Aperture Radar (SAR) imaging on the smallest CUDA-capable platform available, the Jetson TK1. The results indicate that GPU accelerated embedded platf...
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Unity games in WebGL: Owlchemy Labs’ conversion of Aaaaa! to asm.js

Unity games in WebGL: Owlchemy Labs’ conversion of Aaaaa! to asm.js | opencl, opengl, webcl, webgl | Scoop.it
You may have seen the big news today, but for those who’ve been living in an Internet-less cave, starting today through October 28 you can ...
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Deep Learning for Computer Vision with Caffe and cuDNN

Deep Learning for Computer Vision with Caffe and cuDNN | opencl, opengl, webcl, webgl | Scoop.it
Deep learning models are making great strides in research papers and industrial deployments alike, but it's helpful to have a guide and toolkit to join this frontier. This post serves to orient res...
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OpenCLIPP

OpenCL Integrated Performance Primitives A library of optimized OpenCL image processing and computer vision functions
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Leo: A Profile-Driven Dynamic Optimization Framework for GPU Applications

Leo: A Profile-Driven Dynamic Optimization Framework for GPU Applications | opencl, opengl, webcl, webgl | Scoop.it
Parallel architectures like GPUs are a tantalizing compute fabric for performance-hungry developers. While GPUs enable order-of-magnitude performance increases in many data-parallel application dom...
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