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Increasing GPU Throughput using Kernel Interleaved Thread Block Scheduling

The number of active threads required to achieve peak application throughput on graphics processing units (GPUs) depends largely on the ratio of time spent on computation to the time spent accessin...
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Scooped by Mikael Bourges-Sevenier
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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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AMD Announces CPU-GPU Megachip Combo | Javalobby

AMD Announces CPU-GPU Megachip Combo | Javalobby | opencl, opengl, webcl, webgl | Scoop.it
AMD and Intel have competed for years in the performance arena, and a recently announced CPU-GPU combo could make AMD the frontrunner. The...
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Visualization of OpenCL Application Execution on CPU-GPU Systems

Visualization of OpenCL Application Execution on CPU-GPU Systems | opencl, opengl, webcl, webgl | Scoop.it
Evaluating the performance of parallel and heterogeneous programs and architectures can be challenging. An emulator or simulator can be used to aid the programmer. To provide guidance and feedback ...
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Layered Interpretation of Street View Images

Layered Interpretation of Street View Images | opencl, opengl, webcl, webgl | Scoop.it
We propose a layered street view model to encode both depth and semantic information on street view images for autonomous driving. Recently, stixels, stix-mantics, and tiered scene labeling methods...
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GPU Predictor-Corrector Interior Point Method for Large-Scale Linear Programming

GPU Predictor-Corrector Interior Point Method for Large-Scale Linear Programming | opencl, opengl, webcl, webgl | Scoop.it
This master's thesis concerns the implementation of a GPUaccelerated version of Mehrotra's predictor-corrector interior point algorithm for large-scale linear programming (LP). The implementations ...
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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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Accelerated dimension-independent adaptive Metropolis

Accelerated dimension-independent adaptive Metropolis | opencl, opengl, webcl, webgl | Scoop.it
This work considers black-box Bayesian inference over high-dimensional parameter spaces. The well-known adaptive Metropolis (AM) algorithm of (Haario etal. 2001) is extended herein to scale asympto...
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Parallel BTF Compression with Multi-Level Vector Quantization in OpenCL

Parallel BTF Compression with Multi-Level Vector Quantization in OpenCL | opencl, opengl, webcl, webgl | Scoop.it
Bidirectional Texture Function (BTF) as an effective visual fidelity representation of surface appearance is becoming more and more widely used. In this paper we report on contributions to BTF data...
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Nallatech Introduces 385A

Nallatech Introduces 385A | opencl, opengl, webcl, webgl | Scoop.it
CAMARILLO, Calif., June 18 — Nallatech, a leading supplier of high-performance FPGA solutions, announces the introduction of the 385A – a production-ready,
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Automatic Data Layout Optimizations for GPUs

Automatic Data Layout Optimizations for GPUs | opencl, opengl, webcl, webgl | Scoop.it
Memory optimizations have became increasingly important in order to fully exploit the computational power of modern GPUs. The data arrangement has a big impact on the performance, and it is very ha...
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