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Scalable GPU Acceleration of B-Spline Signal Processing Operations | hgpu.org

Scalable GPU Acceleration of B-Spline Signal Processing Operations | CUDA, nVidia, Signal processing, Tesla C2070, Thesis...
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Scooped by Mikael Bourges-Sevenier
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LTTng CLUST: A system-wide unified CPU and GPU tracing tool for OpenCL applications

LTTng CLUST: A system-wide unified CPU and GPU tracing tool for OpenCL applications | opencl, opengl, webcl, webgl | Scoop.it
As computation schemes evolve and many new tools become available to programmers to enhance the performance of their applications, many programmers started to look towards highly parallel platforms...
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Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores | opencl, opengl, webcl, webgl | Scoop.it
In-memory key-value stores play a critical role in data processing to provide high throughput and low latency data accesses. In-memory key-value stores have several unique properties that include (...
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Video: Algorithms for Extreme-Scale Systems

Video: Algorithms for Extreme-Scale Systems | opencl, opengl, webcl, webgl | Scoop.it
In this video from the Blue Waters Symposium, Bill Gropp from the University of Illinois at Urbana-Champaign presents: Algorithms for Extreme-Scale Systems.
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High Performance Approximate Sort Algorithm Using GPUs

High Performance Approximate Sort Algorithm Using GPUs | opencl, opengl, webcl, webgl | Scoop.it
Sorting is a fundamental problem in computer science, and the strict sorting usually means a strict order with ascending or descending. However, some applications in reality don't require the stric...
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Blender 2.75 Released With AMD OpenCL Support, Multi-View/Stereo 3D Pipeline - Phoronix

Blender 2.75 Released With AMD OpenCL Support, Multi-View/Stereo 3D Pipeline - 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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The Potential of the Intel Xeon Phi for Supervised Deep Learning

The Potential of the Intel Xeon Phi for Supervised Deep Learning | opencl, opengl, webcl, webgl | Scoop.it
Supervised learning of Convolutional Neural Networks (CNNs), also known as supervised Deep Learning, is a computationally demanding process. To find the most suitable parameters of a network for a ...
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CPU and GPU Implementation of QCD by using OpenCL

CPU and GPU Implementation of QCD by using OpenCL | opencl, opengl, webcl, webgl | Scoop.it
Recently, many particle physics applications can be parallelized by using multicore platforms such as CPU and GPU. In this paper, we propose a parallel processing approach for Quantum ChromoDynamic...
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AccFFT: A library for distributed-memory FFT on CPU and GPU architectures

AccFFT: A library for distributed-memory FFT on CPU and GPU architectures | opencl, opengl, webcl, webgl | Scoop.it
We present a new library for parallel distributed Fast Fourier Transforms (FFT). Despite the large amount of work on FFTs, we show that significant speedups can be achieved for distributed transfor...
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Composability of parallel codes on heterogeneous architectures

Composability of parallel codes on heterogeneous architectures | opencl, opengl, webcl, webgl | Scoop.it
To face the ever demanding requirements in term of accuracy and speed of scientific simulations, the High Performance community is constantly increasing the demands in term of parallelism, adding t...
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DCT-JPEG Image Coding Based on GPU

DCT-JPEG Image Coding Based on GPU | opencl, opengl, webcl, webgl | Scoop.it
In this paper, the parallel algorithm of JPEG coding based on GPU is proposed, most image compression systems have efficiency problem and the real-time of wireless multimedia sensor networks (WMSN)...
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Alpha-Beta Divergences Discover Micro and Macro Structures in Data

Alpha-Beta Divergences Discover Micro and Macro Structures in Data | opencl, opengl, webcl, webgl | Scoop.it
Although recent work in non-linear dimensionality reduction investigates multiple choices of divergence measure during optimization (Yang et al., 2013; Bunte et al., 2012), little work discusses th...
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Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C | opencl, opengl, webcl, webgl | Scoop.it
In this paper, we present parallel programming approaches to calculate the values of the cells in matrix's scoring used in the Smith-Waterman's algorithm for sequence alignment. This algorithm, wel...
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Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources | opencl, opengl, webcl, webgl | Scoop.it
With recent advancement on hardware technologies, new general-purpose high-performance devices have been widely adopted, such as the graphics processing unit (GPU) and solid state drive (SSD). GPU ...
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High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications | opencl, opengl, webcl, webgl | Scoop.it
This work presents a complete approach to a successful utilization of a high performance Extreme Learning Machines (ELMs) Toolbox for Big Data. It summarizes recent advantages in algorithmic perfor...
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Big Data's Dirty Little Secret

Big Data's Dirty Little Secret | opencl, opengl, webcl, webgl | Scoop.it
The twin phenomena of big data and machine learning are combining to give organizations previously unheard of predictive power to drive their businesses in
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Texture Cache Approximation on GPUs

Texture Cache Approximation on GPUs | opencl, opengl, webcl, webgl | Scoop.it
We present texture cache approximation as a method for using existing hardware on GPUs to eliminate costly global memory accesses. We develop a technique for using a GPU's texture fetch units to ge...
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Heterogeneous Network Embedding via Deep Architectures

Heterogeneous Network Embedding via Deep Architectures | opencl, opengl, webcl, webgl | Scoop.it
Data embedding is used in many machine learning applications to create low-dimensional feature representations, which preserves the structure of data points in their original space. In this paper, ...
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Compiling High Performance Recursive Filters

Compiling High Performance Recursive Filters | opencl, opengl, webcl, webgl | Scoop.it
Infinite impulse response (IIR) or recursive filters, are essential for image processing because they turn expensive large-footprint convolutions into operations that have a constant cost per pixel...
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Intra-Application Data-Communication Characterization

Intra-Application Data-Communication Characterization | opencl, opengl, webcl, webgl | Scoop.it
The growing demand of processing power is being satisfied mainly by an increase in the number of computing cores in a system. One of the main challenges to be addressed is efficient utilization of ...
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Ebb: A DSL for Physical Simluation on CPUs and GPUs

Ebb: A DSL for Physical Simluation on CPUs and GPUs | opencl, opengl, webcl, webgl | Scoop.it
Designing programming environments for physical simulation is challenging because simulations rely on diverse algorithms and geometric domains. These challenges are compounded when we try to run ef...
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Concurrent Solutions to Linear Systems using Hybrid CPU/GPU Nodes

Concurrent Solutions to Linear Systems using Hybrid CPU/GPU Nodes | opencl, opengl, webcl, webgl | Scoop.it
We investigate the parallel solutions to linear systems with the application focus as the global illumination problem in computer graphics. An existing CPU serial implementation using the radiosity...
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Toward GPU Accelerated Data Stream Processing

Toward GPU Accelerated Data Stream Processing | opencl, opengl, webcl, webgl | Scoop.it
In recent years, the need for continuous processing and analysis of data streams has increased rapidly. To achieve high throughput-rates, stream-applications make use of operator-parallelization, b...
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MapD: Massive Throughput Database Queries with LLVM on GPUs

MapD: Massive Throughput Database Queries with LLVM on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Note: this post was co-written by Alex Şuhan and Todd Mostak of MapD. At MapD our goal is to build the world's fastest big data analytics and visualization platform that enables lag-free interactiv...
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Concurrent Task Execution on the Intel Xeon Phi

Concurrent Task Execution on the Intel Xeon Phi | opencl, opengl, webcl, webgl | Scoop.it
The Intel Xeon Phi coprocessor is a new choice for the high performance computing industry and it needs to be tested. In this thesis, we compared the difference in performance between the Xeon Phi ...
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