opencl, opengl, webcl, webgl
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Scooped by Mikael Bourges-Sevenier
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Performance Analysis of a Large Memory Application on Multiple Architectures

The Graph500 Breadth-First Search benchmark has emerged as a well-documented PGAS-style application that both scales to large data set sizes and has documented implementations on multiple platforms...
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Parametric GPU Code Generation for Affine Loop Programs

Partitioning a parallel computation into finitely sized chunks for effective mapping onto a parallel machine is a critical concern for source-to-source compilation. In the context of OpenCL and CUD...
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Cudagrind: A Valgrind Extension for CUDA

Valgrind, and specifically the included tool Memcheck, offers an easy and reliable way for checking the correctness of memory operations in programs. This works in an unintrusive way where Valgrind...
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Facial Expression Recognition - Review

Expression recognition (happy, sad, disgust, surprise, angry, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression recogniti...
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Compiler Optimizations for SIMD/GPU/Multicore Architectures

In modern computer architectures, both SIMD (single-instruction multiple-data) instruction set extensions and GPUs can be used to accelerate the general purpose applications. In addition, the multi...
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3D Non-Local Means denoising via multi-GPU

Non-Local Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many research fields. High computational complexity led to implementations on Graphic Processor Unit (...
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A state-of-the-art password strength analysis demonstrator

Due to recent developments: leaks of large lists of user passwords (e.g. LinkedIn), new probabilistic password cracking techniques and the introduction of password cracking using GPUs. Passwords ca...
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CUDA Enhanced Filtering in a Pipelined Video Processing Framework

The processing of digital video has long been a significant computational task for modern x86 processors. With every video frame composed of one to three planes, each consisting of a two-dimensiona...
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Optimizing Image Processing IP on Mali GPU | LEAP Blog and Conference

Optimizing Image Processing IP on Mali GPU | LEAP Blog and Conference | opencl, opengl, webcl, webgl | Scoop.it
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Optimizing Real Time GPU Kernels Using Fuzzy Inference System

CPU technology is slowly reaching its threshold, however Moore's Law still holds true for GPUs. With the increasing scope for GPGPU computing more and more applications are being ported to the GPU ...
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Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

I introduce and evaluate a new stochastic simulation method for dynamic economic models. It is based on recent work in the operations research and engineering literatures (Van Roy et. al, 1997; Pow...
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Compiling a High-level Directive-Based Programming Model for GPGPUs

OpenACC is an emerging directive-based programming model for programming accelerators that typically enable non-expert programmers to achieve portable and productive performance of their applicatio...
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GPU Based Generation and Real-Time Rendering of Semi-Procedural Terrain Using Features

Generation and real-time rendering of terrain is a complex and multifaceted problem. Besides the obvious trade-offs between performance and quality, many different generation and rendering solution...
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Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

GPU based heterogeneous systems provide a peak performance in the order of TFlop/s and an advantageous ratio between performance and energy consumption. However, reaching high performance on GPUs i...
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Parallel Computing Using GPU for Efficient Traffic Simulation

Parallel Computing can be made possible using the multiple cores of the Graphics Processing Unit (GPU) thanks to the modern programmable GPU models. This allows the use of parallel computing techni...
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Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

OpenACC is a programming standard designed to simplify heterogeneous parallel programming by using directives. Since OpenACC can generate OpenCL and CUDA code, meanwhile running OpenCL on Intel Kni...
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GPU-accelerated triangle-triangle intersection tester algorithm

The goal of the project is to develop a triangle-triangle collision algorithm. A reference triangle is given as well as a variably-sized array of many other triangles. The algorithm must check if o...
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Parallel Hyperspectral Unmixing on GPUs

This letter presents a new parallel method for hyperspectral unmixing composed by the efficient combination of two popular methods: vertex component analysis (VCA) and sparse unmixing by variable s...
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Intel OpenCL SDK 2013 R2 with SPIR support | LEAP Blog and Conference

Intel OpenCL SDK 2013 R2 with SPIR support | LEAP Blog and Conference | opencl, opengl, webcl, webgl | Scoop.it
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Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

The aim of the paper is to show how to design and implement fast parallel algorithms for Linear Congruential, Lagged Fibonacci and Wichmann-Hill pseudorandom number generators. The new algorithms e...
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Head Pose Tracking Using GPU Based Real-time 3D Registration

The head pose tracking is one of the important criteria for improving the abilities of the human computer interactions and the human robot interactions. With the improvement of low cost consumer de...
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Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

The way programmers has been relying on processor improvements to gain speedup in their applications is no longer applicable in the same fashion. Programmers usually have to parallelize their code ...
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