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Inter-Warp Instruction Temporal Locality in Deep-Multithreaded GPUs | hgpu.org

Inter-Warp Instruction Temporal Locality in Deep-Multithreaded GPUs | Computer science, Energy-efficient computing, GPGPU-sim, nVidia, Tesla
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Cray Adds GPU Powerhouse to CS Supercomputer Lot

Cray Adds GPU Powerhouse to CS Supercomputer Lot | opencl, opengl, webcl, webgl | Scoop.it
The CS family of Cray systems was graced with a new addition today with the arrival of a dense, memory-loaded GPU offering that adds big acceleration to se
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Remote application development using NVIDIA® Nsight™ Eclipse Edition

Remote application development using NVIDIA® Nsight™ Eclipse Edition | opencl, opengl, webcl, webgl | Scoop.it
NVIDIA® Nsight™ Eclipse Edition (NSEE) is a full-featured unified CPU+GPU integrated development environment(IDE) that lets you easily develop CUDA applications for either your local (x86_64) syste...
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Encrypting video and image streams using OpenCL code on-demand

Encrypting video and image streams using OpenCL code on-demand | opencl, opengl, webcl, webgl | Scoop.it
The amount of multimedia information transmitted through the web is very high and increasing. Generally, this kind of data is not correctly protected, since users do not appreciate the amount of in...
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GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor | opencl, opengl, webcl, webgl | Scoop.it
Graphics Processing Units (GPU) have become important components in high performance computing (HPC) systems for their massively parallel computing capability and energy efficiency. Virtualization ...
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Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition | opencl, opengl, webcl, webgl | Scoop.it
Nature based computational models are usually inherently parallel. The collaborative intelligence in those models emerges from the simultaneous instruction processing by simple independent units (n...
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A Domain Specific Approach to Heterogeneous Computing: From Availability to Accessibility

A Domain Specific Approach to Heterogeneous Computing: From Availability to Accessibility | opencl, opengl, webcl, webgl | Scoop.it
We advocate a domain specific software development methodology for heterogeneous computing platforms such as Multicore CPUs, GPUs and FPGAs. We argue that three specific benefits are realised from ...
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High Level Programming for Heterogeneous Architectures

High Level Programming for Heterogeneous Architectures | opencl, opengl, webcl, webgl | Scoop.it
This work presents an effort to bridge the gap between abstract high level programming and OpenCL by extending an existing high level Java programming framework (APARAPI), based on OpenCL, so that ...
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WebGL around the net, 14 August 2014 | Learning WebGL

WebGL around the net, 14 August 2014 | Learning WebGL | opencl, opengl, webcl, webgl | Scoop.it
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The Democratization of Parallel Computing

The Democratization of Parallel Computing | opencl, opengl, webcl, webgl | Scoop.it
Virginia Tech College of Engineering Professor Wu Feng has a vision to broadly apply parallel computing to advance science and address major challenges. A
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Volumetric Rendering Techniques for Scientific Visualization

Volumetric Rendering Techniques for Scientific Visualization | opencl, opengl, webcl, webgl | Scoop.it
Direct volume rendering is widely used in many applications where the inside of a transparent or a partially transparent material should be visualized. We have explored several aspects of the probl...
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Parallel Graph Mining with GPUs

Parallel Graph Mining with GPUs | opencl, opengl, webcl, webgl | Scoop.it
Frequent graph mining is an important though computationally hard problem because it requires enumerating possibly an exponential number of candidate subgraph patterns, and checking their presence ...
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Quantum Boolean Image Denoising

Quantum Boolean Image Denoising | opencl, opengl, webcl, webgl | Scoop.it
A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two ne...
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Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures

Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures | opencl, opengl, webcl, webgl | Scoop.it
As core counts increase and as heterogeneity becomes more common in parallel computing, we face the prospect of programming hundreds or even thousands of concurrent threads in a single shared-memor...
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Intel SPMD Compiler (ISPC) for Xeon and Xeon Phi

Intel SPMD Compiler (ISPC) for Xeon and Xeon Phi | opencl, opengl, webcl, webgl | Scoop.it
When #pragma SIMD is not enough, companies and projects such as Intel, Embree, Dreamworks, Pixar, Autodesk, and SURFsara are looking to the freely available Intel SPMD Program Compiler (ispc) to a...
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Supercomputing 102: The Toolbox of a Successful Computational Scientist - insideHPC

Supercomputing 102: The Toolbox of a Successful Computational Scientist - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
In this video, Judith Hill from ORNL presents: Supercomputing 102: The Toolbox of a Successful Computational Scientist.
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Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code | opencl, opengl, webcl, webgl | Scoop.it
Heterogeneous processing using GPUs is here to stay and today spans mobile devices, laptops, and supercomputers. Although modern software development frameworks like OpenCL and CUDA serve as a high...
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A Comprehensive Survey on Various Evolutionary Algorithms on GPU

A Comprehensive Survey on Various Evolutionary Algorithms on GPU | opencl, opengl, webcl, webgl | Scoop.it
This paper presents a comprehensive survey on parallelizing computations involved in optimization problem on Graphics Processing Unit (GPU) using CUDA (Compute Unified Design Architecture). GPU hav...
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Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs | opencl, opengl, webcl, webgl | Scoop.it
Multiresolution Analysis (MRA) is a mathematical method that is based on working on a problem at different scales. One of its applications is medical imaging where processing at multiple scales, ba...
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Caffe: Convolutional Architecture for Fast Feature Embedding

Caffe: Convolutional Architecture for Fast Feature Embedding | opencl, opengl, webcl, webgl | Scoop.it
Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models. The framework is a B...
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PyFR: A GPU-Accelerated Next-Generation Computational Fluid Dynamics Python Framework

PyFR: A GPU-Accelerated Next-Generation Computational Fluid Dynamics Python Framework | opencl, opengl, webcl, webgl | Scoop.it
PyFR is an open-source 5,000 line Python based framework for solving fluid-flow problems that can exploit many-core computing hardware such as GPUs! Computational simulation of fluid flow, often re...
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Get Started Parallel Programming Using CUDA on OS X - insideHPC

Get Started Parallel Programming Using CUDA on OS X - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
Over at QuantStart, Valerio Restocchi has written up a quick guide for installing CUDA 6.0 on OS X.
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Error Resilience Evaluation on GPGPU Applications

Error Resilience Evaluation on GPGPU Applications | opencl, opengl, webcl, webgl | Scoop.it
While graphics processing units (GPUs) have gained wide adoption as accelerators for general-purpose applications (GPGPU), the end-to-end reliability implications of their use have not been quantif...
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Practical Symbolic Race Checking of GPU Programs

Practical Symbolic Race Checking of GPU Programs | opencl, opengl, webcl, webgl | Scoop.it
Even the careful GPU programmer can inadvertently introduce data races while writing and optimizing code. Currently available GPU race checking methods fall short either in terms of their formal gu...
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High Level High Performance Computing for Multitask Learning of Time-varying Models

High Level High Performance Computing for Multitask Learning of Time-varying Models | opencl, opengl, webcl, webgl | Scoop.it
We propose an approach suitable to learn multiple time-varying models jointly and discuss an application in data-driven weather forecasting. The methodology relies on spectral regularization and en...
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Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware

Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware | opencl, opengl, webcl, webgl | Scoop.it
The past years saw the emergence of highly heterogeneous server architectures that feature multiple accelerators in addition to the main processor. Efficiently exploiting these systems for data pro...
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