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[Phoronix] AMD OpenCL Performance With AM1 Kabini APUs

Phoronix is the leading technology website for Linux hardware reviews, open-source news, Linux benchmarks, open-source benchmarks, distribution screenshots, interviews, and computer hardware tests.
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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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Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters

Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters | opencl, opengl, webcl, webgl | Scoop.it
Intel Xeon Phi coprocessor-based clusters offer high compute and memory performance for parallel workloads and also support direct network access. Many real world applications are significantly imp...
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SIGGRAPH 2014 Links - Self Shadow

As before, I’m collecting links to SIGGRAPH content: courses, talks, posters, etc. I’ll continue to update the post as new stuff appears; if you’ve …
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ryutenchi's curator insight, August 15, 1:28 AM

Always love reading through these papers^^

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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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Physically Based Shading at SIGGRAPH 2014 - Self Shadow

Physically Based Shading at SIGGRAPH 2014 - Self Shadow | opencl, opengl, webcl, webgl | Scoop.it
2pm, Wednesday 13th August. Located in the west building, rooms 211-214. We’re back once again with the Physically Based Shading in Theory and …
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GPU-SPARC: Accelerating Parallelism in Multi-GPU Real-Time Systems

GPU-SPARC: Accelerating Parallelism in Multi-GPU Real-Time Systems | opencl, opengl, webcl, webgl | Scoop.it
GPU (General-Purpose computation on Graphics Processing Units) offers an effective computing platform to accelerate a wide class of data-parallel computing. Multi-GPU's appear as an attractive plat...
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Numerical Computations with GPUs

Numerical Computations with GPUs | opencl, opengl, webcl, webgl | Scoop.it
This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equ...
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Accelerating Fruchterman-Reingold with OpenCL

Accelerating Fruchterman-Reingold with OpenCL | opencl, opengl, webcl, webgl | Scoop.it
Twilight, an interactive multi-touch graph visualization research tool jointly developed by the University of Amsterdam and SURFsara, uses the Fruchterman-Reingold algorithm (amongst others) to cre...
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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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Berkeley Online and Onsite 2014 Short Course on Parallel Programming - Aug. 18

Berkeley Online and Onsite 2014 Short Course on Parallel Programming - Aug. 18 | opencl, opengl, webcl, webgl | Scoop.it
Monday August 18, 2014 the Berkeley EECS ( Electrical Engineering and Computer Sciences, COLLEGE OF ENGINEERING, UC Berkeley) will provide an on-site and on-line introduction to parallel architectu...
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Supercomputing Technologies for Big Data Challenges - insideHPC

Supercomputing Technologies for Big Data Challenges - insideHPC | opencl, opengl, webcl, webgl | Scoop.it
In this special guest feature, Ferhat Hatay from Fujitsu writes that supercomputing technologies developed for data-intensive scientific computing can be a powerful tool for taking on the challenges of Big Data.
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Adapting Algorithms to Modern Hybrid Architectures

Adapting Algorithms to Modern Hybrid Architectures | opencl, opengl, webcl, webgl | Scoop.it
Technology, like other facets of life, commonly experiences cycles of rapid change followed by periods of relative stability. Computing has entered a stage
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Improved GPU Co-processor Sorting Algorithm with Barrier Synchronization

Improved GPU Co-processor Sorting Algorithm with Barrier Synchronization | opencl, opengl, webcl, webgl | Scoop.it
Being sort is most frequent operation in science of computation, till date many sorting algorithms are proposed for CPUs & GPUs .Generally GPUs suffers with low memory sizes, due to this it is ...
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Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Graphics Processing Unit Bloom Filters: Classical and Probabilistic | opencl, opengl, webcl, webgl | Scoop.it
Graphics Processing Units (GPUs) have been used to enhance the speed and efficiency of both data structures and algorithms alike. A common data structure used in Computer Science is the Bloom Filte...
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Commercial OpenCL! SPIR 2.0 Protects IP Yet Allows Powerful, Portable, Source Code Free Kernels

Commercial OpenCL! SPIR 2.0 Protects IP Yet Allows Powerful, Portable, Source Code Free Kernels | opencl, opengl, webcl, webgl | Scoop.it
It used to be that portable OpenCL applications required shipping source code for the parallel kernels with the application. In this way, the kernel source code could be compiled for any device at...
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