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[Phoronix] Intel Ivy Bridge On Linux Properly Supports OpenGL ES 3.0

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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Implementation of Smith-Waterman algorithm in OpenCL for GPUs

Implementation of Smith-Waterman algorithm in OpenCL for GPUs | opencl, opengl, webcl, webgl | Scoop.it
In this paper we present an implementation of the Smith-Waterman algorithm. The implementation is done in OpenCL and targets high-end GPUs. This implementation is capable of computing similarity in...
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Accelerating Lagrangian Particle Dispersion in the Atmosphere with OpenCL across Multiple Platforms

Accelerating Lagrangian Particle Dispersion in the Atmosphere with OpenCL across Multiple Platforms | opencl, opengl, webcl, webgl | Scoop.it
FLEXPART is a popular simulator that models the transport and diffusion of air pollutants, based on the Lagrangian approach. It is capable of regional and global simulation and supports both forwar...
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A Vision for GPU-accelerated Parallel Computation on Geo-Spatial Datasets

A Vision for GPU-accelerated Parallel Computation on Geo-Spatial Datasets | opencl, opengl, webcl, webgl | Scoop.it
We summarize the need and present our vision for accelerating geo-spatial computations and analytics using a combination of shared and distributed memory parallel platforms, with general-purpose Gr...
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Using SPIR for fun and profit with Intel® OpenCL™ Code Builder | Intel® Developer Zone

Using SPIR for fun and profit with Intel® OpenCL™ Code Builder | Intel® Developer Zone | opencl, opengl, webcl, webgl | Scoop.it
Introduction What is SPIR? How is SPIR binary different from Intermediate Binary? How to produce SPIR binary with an Intel command line compiler?
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Learn GPU Computing with Hands-On Labs at GTC 2015

Learn GPU Computing with Hands-On Labs at GTC 2015 | opencl, opengl, webcl, webgl | Scoop.it
Every year NVIDIA’s GPU Technology Conference (GTC) gets bigger and better. One of the aims of GTC is to give developers, scientists, and practitioners opportunities to learn with hands-on labs how...
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Investigation of the OpenCL SYCL Programming Model

Investigation of the OpenCL SYCL Programming Model | opencl, opengl, webcl, webgl | Scoop.it
OpenCL SYCL is a new heterogeneous and parallel programming framework created by the Khronos Group that tries to bring OpenCL programming into C++. In particular, it enables C++ developers to creat...
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Document Image Binarization Using Image Segmentation Algorithm in Parallel Environment

Document Image Binarization Using Image Segmentation Algorithm in Parallel Environment | opencl, opengl, webcl, webgl | Scoop.it
The Segmentation of text from poorly degraded document images is a very hard due to the high intravariation between the document background and the foreground text of different document images. The...
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Comparison of SPMV performance on matrices with different matrix format using CUSP, cuSPARSE and ViennaCL

Comparison of SPMV performance on matrices with different matrix format using CUSP, cuSPARSE and ViennaCL | opencl, opengl, webcl, webgl | Scoop.it
ViennaCL is a free open-source linear algebra library for computations on many-core architectures (GPUs, MIC) and multi-core CPUs. The library is written in C++ and supports CUDA, OpenCL, and OpenM...
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Stochastic Gradient Descent on GPUs

Stochastic Gradient Descent on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Irregular algorithms such as Stochastic Gradient Descent (SGD) can benefit from the massive parallelism available on GPUs. However, unlike in data-parallel algorithms, synchronization patterns in S...
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Memory-efficient Adaptive Subdivision for Software Rendering on the GPU

Memory-efficient Adaptive Subdivision for Software Rendering on the GPU | opencl, opengl, webcl, webgl | Scoop.it
The adaptive subdivision step for surface tessellation is a key component of the Reyes rendering pipeline. While this operation has been successfully parallelized for execution on the GPU using a b...
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Auto-tuning Shallow water simulations on GPUs

Auto-tuning Shallow water simulations on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Graphic processing units (GPUs) have gained popularity in scientific computing the recent years. This is because of the massive computing power they can provide for parallel tasks, and while GPUs a...
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Primal Dual Affine Scaling on GPUs

Primal Dual Affine Scaling on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Here we present an implementation of Primal-Dual Affine scaling method to solve linear optimization problem on GPU based systems. Strategies to convert the system generated by complementary slackne...
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NUPAR: A Benchmark Suite for Modern GPU Architectures

NUPAR: A Benchmark Suite for Modern GPU Architectures | opencl, opengl, webcl, webgl | Scoop.it
Heterogeneous systems consisting of multi-core CPUs, Graphics Processing Units (GPUs) and many-core accelerators have gained widespread use by application developers and data-center platform develo...
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Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning

Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning | opencl, opengl, webcl, webgl | Scoop.it
Speech recognition is an established technology, but it tends to fail when we need it the most, such as in noisy or crowded environments, or when the speaker is far away from the microphone. At Bai...
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A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU

A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU | opencl, opengl, webcl, webgl | Scoop.it
We demonstrate a speedup for database joins using a general purpose graphics processing unit (GPGPU). The technique is novel in that it operates on an SQL virtual machine model developed using CUDA...
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Very Fast Non-Dominated Sorting

Very Fast Non-Dominated Sorting | opencl, opengl, webcl, webgl | Scoop.it
A new and very efficient parallel algorithm for the Fast Non-dominated Sorting of Pareto fronts is proposed. By decreasing its computational complexity, the application of the proposed method allow...
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Altera Newsroom | Altera FPGAs Achieve Compelling Performance-per-Watt in Cloud Data Center Acceleration Using CNN Algorithms

Altera Newsroom | Altera FPGAs Achieve Compelling Performance-per-Watt in Cloud Data Center Acceleration Using CNN Algorithms | opencl, opengl, webcl, webgl | Scoop.it
Altera Corporation, The Programmable Solutions Company, was founded in 1983 and is a leading supplier of programmable logic devices and associated logic development software tools.
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Asynchronous OpenCL/MPI numerical simulations of conservation laws

Asynchronous OpenCL/MPI numerical simulations of conservation laws | opencl, opengl, webcl, webgl | Scoop.it
Hyperbolic conservation laws are important mathematical models for describing many phenomena in physics or engineering. The Finite Volume (FV) method and the Discontinuous Galerkin (DG) methods are...
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Characterising Bipartite Graph Matching Algorithms on GPUs

Characterising Bipartite Graph Matching Algorithms on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Two well-known bipartite graph matching algorithms, the Gale-Shapley algorithm and the Hungarian (Kuhn-Munkres) algorithm, has been ported to run on General-Purpose Graphics Processing Units (GPGPU...
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RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures

RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures | opencl, opengl, webcl, webgl | Scoop.it
This document describes an implementation in C of a set of randomized algorithms for computing partial Singular Value Decompositions (SVDs). The techniques largely follow the prescriptions in the a...
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High performance methods for frequent pattern mining

High performance methods for frequent pattern mining | opencl, opengl, webcl, webgl | Scoop.it
Current Big Data era is generating tremendous amount of data in most fields such as business, social media, engineering, and medicine. The demand to process and handle the resulting "big data&...
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NMF-mGPU: non-negative matrix factorization on multi-GPU systems

NMF-mGPU: non-negative matrix factorization on multi-GPU systems | opencl, opengl, webcl, webgl | Scoop.it
BACKGROUND: In the last few years, the Non-negative Matrix Factorization (NMF) technique has gained a great interest among the Bioinformatics community, since it is able to extract interpretable pa...
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Reproducible Triangular Solvers for High-Performance Computing

Reproducible Triangular Solvers for High-Performance Computing | opencl, opengl, webcl, webgl | Scoop.it
On modern parallel architectures, floating-point computations may become non-deterministic and, therefore, non-reproducible mainly due to non-associativity of floating-point operations. We propose ...
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Locally-Oriented Programming: A Simple Programming Model for Stencil-Based Computations on Multi-Level Distributed Memory Architectures

Locally-Oriented Programming: A Simple Programming Model for Stencil-Based Computations on Multi-Level Distributed Memory Architectures | opencl, opengl, webcl, webgl | Scoop.it
Emerging hybrid accelerator architectures for high performance computing are often suited for the use of a data-parallel programming model. Unfortunately, programmers of these architectures face a ...
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