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The Geant4 Visualisation System – a multi-driver graphics system | hgpu.org

The Geant4 Visualisation System – a multi-driver graphics system | Algorithms, Computer science, High Energy Physics - Experiment, OpenGL, Visualization
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Scooped by Mikael Bourges-Sevenier
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Parallel and Improved PageRank Algorithm for GPU-CPU Collaborative Environment

Parallel and Improved PageRank Algorithm for GPU-CPU Collaborative Environment | opencl, opengl, webcl, webgl | Scoop.it
The internet is a huge collection of websites in the order of 10^8 bytes. Around 90% of the world's population uses search engines for getting relevant information. According to Wikipedia, more tha...
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Key derivation functions and their GPU implementation

Key derivation functions and their GPU implementation | opencl, opengl, webcl, webgl | Scoop.it
Key derivation functions are a key element of many cryptographic applications. Password-based key derivation functions are designed specifically to derive cryptographic keys from low-entropy source...
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U-Net: Convolutional Networks for Biomedical Image Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation | opencl, opengl, webcl, webgl | Scoop.it
There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the stro...
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Kalman Filter Tracking on Parallel Architectures

Kalman Filter Tracking on Parallel Architectures | opencl, opengl, webcl, webgl | Scoop.it
Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors, but the future will be even ...
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Use of modern GPUs in Design Optimization

Use of modern GPUs in Design Optimization | opencl, opengl, webcl, webgl | Scoop.it
Graphics Processing Units (GPUs) are a promising alternative hardware to Central Processing Units (CPU) for accelerating applications with a high computational power demand. In many fields research...
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Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs

Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs | opencl, opengl, webcl, webgl | Scoop.it
We carry out a comparative performance study of multi-core CPUs, GPUs and Intel Xeon Phi (Many Integrated Core - MIC) with a microscopy image analysis application. We experimentally evaluate the pe...
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Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems | opencl, opengl, webcl, webgl | Scoop.it
The involvement of accelerators is becoming widespread in the field of heterogeneous processing, performing computation tasks through a wide range of applications. In this paper, we examine the het...
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Port Some CUDA Codes To Intel Xeon Phi Simply and Efficiently - TechEnablement

Port Some CUDA Codes To Intel Xeon Phi Simply and Efficiently - TechEnablement | opencl, opengl, webcl, webgl | Scoop.it
This tutorial shows that it relatively easy to port many CUDA C/C++ source codes to OpenMP.
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Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language

Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language | opencl, opengl, webcl, webgl | Scoop.it
Discrete cosine transform (DCT) is one of the major operations in image compression standards and it requires intensive and complex computations. Recent computer systems and handheld devices are eq...
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Deep Learning for Image Understanding in Planetary Science

Deep Learning for Image Understanding in Planetary Science | opencl, opengl, webcl, webgl | Scoop.it
Went from training 700 img/s in MNIST to 1500 img/s (using CUDA) to 4000 img/s (using cuDNN) that is just freaking amazing! @GPUComputing — Leon Palafox (@leonpalafox) March 27, 2015 I stumbled upo...
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A Survey of CPU-GPU Heterogeneous Computing Techniques

A Survey of CPU-GPU Heterogeneous Computing Techniques | opencl, opengl, webcl, webgl | Scoop.it
As both CPU and GPU become employed in a wide range of applications, it has been acknowledged that both of these processing units (PUs) have their unique features and strengths and hence, CPU-GPU c...
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Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries | opencl, opengl, webcl, webgl | Scoop.it
There have been a number of research proposals to use discrete graphics processing units (GPUs) to accelerate database operations. Although many of these works show up to an order of magnitude perf...
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An Introduction to OpenCL C++

An Introduction to OpenCL C++ | opencl, opengl, webcl, webgl | Scoop.it
Today servers, desktops, mobile devices, and embedded systems contain many processors in addition to the CPU that runs programs. These extra processors are generally called accelerators and could b...
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An Efficient, Automatic Approach to High Performance Heterogeneous Computing

An Efficient, Automatic Approach to High Performance Heterogeneous Computing | opencl, opengl, webcl, webgl | Scoop.it
Users of heterogeneous computing systems face two problems: firstly, understanding the trade-off relationship between the observable characteristics of their applications, such as latency and quali...
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Physically Based Rendering: Implementation of Path Tracer

Physically Based Rendering: Implementation of Path Tracer | opencl, opengl, webcl, webgl | Scoop.it
The main topic of this thesis was to implement a computer program that can render photorealistic images by simulating the laws of physics. In practice the program builds an image by finding every p...
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An Interrupt-Driven Work-Sharing For-Loop Scheduler

An Interrupt-Driven Work-Sharing For-Loop Scheduler | opencl, opengl, webcl, webgl | Scoop.it
In this paper we present a parallel for-loop scheduler which is based on work-stealing principles but runs under a completely cooperative scheme. POSIX signals are used by idle threads to interrupt...
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CHO: Towards a Benchmark Suite for OpenCL FPGA Accelerators

CHO: Towards a Benchmark Suite for OpenCL FPGA Accelerators | opencl, opengl, webcl, webgl | Scoop.it
Programming FPGAs with OpenCL-based high-level synthesis frameworks is gaining attention with a number of commercial and research frameworks announced. However, there are no benchmarks for evaluati...
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Multi-GPU Support on Single Node Using Directive-Based Programming Model

Multi-GPU Support on Single Node Using Directive-Based Programming Model | opencl, opengl, webcl, webgl | Scoop.it
Existing studies show that using single GPU can lead to obtaining significant performance gains. We should be able to achieve further performance speedup if we use more than one GPU. Heterogeneous ...
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The Current Open-Source OpenCL Experience On Fedora - Phoronix

The Current Open-Source OpenCL Experience On Fedora - Phoronix | opencl, opengl, webcl, webgl | Scoop.it
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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Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores | opencl, opengl, webcl, webgl | Scoop.it
This short note regards a comparison of instantaneous power, total energy consumption, execution time and energetic cost per synaptic event of a spiking neural network simulator (DPSNN-STDP) distri...
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MRCUDA: MapReduce Acceleration Framework Based on GPU

MRCUDA: MapReduce Acceleration Framework Based on GPU | opencl, opengl, webcl, webgl | Scoop.it
GPU programming model for general purpose computing is complex and difficult to be maintained. A MapReduce acceleration framework named MRCUDA is designed and implemented in this paper. There are f...
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Intel® INDE OpenCV - Beta | Intel® Developer Zone

Intel® INDE OpenCV - Beta | Intel® Developer Zone | opencl, opengl, webcl, webgl | Scoop.it
Intel® INDE OpenCV beta is a feature of Intel® INDE and is compatible with open source OpenCV 3.0 beta. It has binaries for computer vision applications development and production for usages like enhanced photography, augmented reality, and more.
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