opencl, opengl, webcl, webgl
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Scooped by Mikael Bourges-Sevenier
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GPU Processing for UAS-Based LFM-CW Stripmap SAR

GPU Processing for UAS-Based LFM-CW Stripmap SAR | opencl, opengl, webcl, webgl | Scoop.it
Unmanned air systems (UAS) provide an excellent platform for synthetic aperture radar (SAR), enabling surveillance and research over areas too difficult, dangerous, or costly to reach using manned ...
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Parallel Algorithms for Counting Problems on Graphs Using Graphics Processing Units

Parallel Algorithms for Counting Problems on Graphs Using Graphics Processing Units | opencl, opengl, webcl, webgl | Scoop.it
The availability of Graphics Processing Units (GPUs) with multicore architecture have enabled parallel computations using extensive multi-threading. Recent advancements in computer hardware have le...
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Video: Deep Learning on GPU Clusters

Video: Deep Learning on GPU Clusters | opencl, opengl, webcl, webgl | Scoop.it
In this video from the Nvidia Theater at SC14, Bryan Catanzaro from Baidu presents: Deep Learning on GPU Clusters.
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Reducing overheads of dynamic scheduling on heterogeneous chips

Reducing overheads of dynamic scheduling on heterogeneous chips | opencl, opengl, webcl, webgl | Scoop.it
In recent processor development, we have witnessed the integration of GPU and CPUs into a single chip. The result of this integration is a reduction of the data communication overheads. This enable...
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A Novel Computational Model for GPUs with Applications to Efficient Algorithms

A Novel Computational Model for GPUs with Applications to Efficient Algorithms | opencl, opengl, webcl, webgl | Scoop.it
We propose a novel computational model for GPUs. Known parallel computational models such as the PRAM model are not appropriate for evaluating GPU-based algorithms. Our model, called AGPU, abstract...
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Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors

Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors | opencl, opengl, webcl, webgl | Scoop.it
A variety of real-life mobile sensing applications are becoming available, especially in the life-logging, fitness tracking and health monitoring domains. These applications use mobile sensors embe...
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Linear Performance-Breakdown Model: A Framework for GPU kernel programs performance analysis

Linear Performance-Breakdown Model: A Framework for GPU kernel programs performance analysis | opencl, opengl, webcl, webgl | Scoop.it
In this paper we describe our performance-breakdown model for GPU programs. GPUs are a popular choice as accelerator hardware due to their high performance, high availability and relatively low pri...
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Exploring GPU Memory Performance Using Digital Image Processing Algorithms

Exploring GPU Memory Performance Using Digital Image Processing Algorithms | opencl, opengl, webcl, webgl | Scoop.it
Leveraging the incredible parallel computational power of graphics processing units (GPUs) is a proven method for accelerating general applications. Efficient utilization of the GPU remains one of ...
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Face Recognition: A Tutorial on Computational Aspects

Face Recognition: A Tutorial on Computational Aspects | opencl, opengl, webcl, webgl | Scoop.it
Face recognition is a sophisticated problem requiring a significant commitment of computer resources. A modern GPU architecture provides a practical platform for performing face recognition in real...
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Call for Papers: International Workshop on OpenCL at Stanford

Call for Papers: International Workshop on OpenCL at Stanford | opencl, opengl, webcl, webgl | Scoop.it
The International Workshop on OpenCL (IWOCL) has issued its Call for Papers.
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An Extensible Framework for Composing Stencils with Common Scientific Computing Patterns

An Extensible Framework for Composing Stencils with Common Scientific Computing Patterns | opencl, opengl, webcl, webgl | Scoop.it
The SEJITS framework supports creating embedded domain-specific languages (DSELs) and code generators, a pair of which is called a specializer, with much less effort than creating a full DSL compil...
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CHO: A Benchmark Suite for OpenCL-based FPGA Accelerators

CHO: A Benchmark Suite for OpenCL-based 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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Parallel Algorithms for Counting Problems on Graphs Using Graphics Processing Units

Parallel Algorithms for Counting Problems on Graphs Using Graphics Processing Units | opencl, opengl, webcl, webgl | Scoop.it
The availability of Graphics Processing Units (GPUs) with multicore architecture have enabled parallel computations using extensive multi-threading. Recent advancements in computer hardware have le...
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CURFIL: Random Forests for Image Labeling on GPU

CURFIL: Random Forests for Image Labeling on GPU | opencl, opengl, webcl, webgl | Scoop.it
Random forests are popular classifiers for computer vision tasks such as image labeling or object detection. Learning random forests on large datasets, however, is computationally demanding. Slow l...
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Batched Matrix Computations on Hardware Accelerators Based on GPUs

Batched Matrix Computations on Hardware Accelerators Based on GPUs | opencl, opengl, webcl, webgl | Scoop.it
Scientific applications require solvers that work on many small size problems that are independent from each other. At the same time, the high-end hardware evolves rapidly and becomes ever more thr...
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Identification and Elimination of Platform-Specific Code Smells in High Performance Computing Applications

Identification and Elimination of Platform-Specific Code Smells in High Performance Computing Applications | opencl, opengl, webcl, webgl | Scoop.it
A code smell is a code pattern that might indicate a code or design problem, which makes the application code hard to evolve and maintain. Automatic detection of code smells has been studied to hel...
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A Time Optimal Parallel Algorithm for the Dynamic Programming on the Hierarchical Memory Machine

A Time Optimal Parallel Algorithm for the Dynamic Programming on the Hierarchical Memory Machine | opencl, opengl, webcl, webgl | Scoop.it
The Hierarchical Memory Machine (HMM) is a theoretical parallel computing model that captures the essence of architecture of CUDA-enabled GPUs. The main contribution of this paper is to present an ...
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Development of an Algorithm for Extracting Parallelism and Pipeline Structure from Stream-based Processing flow with Spanning Tree

Development of an Algorithm for Extracting Parallelism and Pipeline Structure from Stream-based Processing flow with Spanning Tree | opencl, opengl, webcl, webgl | Scoop.it
It is a fashion to use the manycore accelerators to promote the computing power in a computing platform. Especially GPU is one of the main series of the high performance computing, which is also em...
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Image Super-Resolution Using Deep Convolutional Networks

Image Super-Resolution Using Deep Convolutional Networks | opencl, opengl, webcl, webgl | Scoop.it
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented as a de...
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Dynamic Feature-Adaptive Subdivision

Dynamic Feature-Adaptive Subdivision | opencl, opengl, webcl, webgl | Scoop.it
Feature-adaptive subdivision (FAS) is one of the state-of-the art real-time rendering methods for subdivision surfaces on modern GPUs. It enables efficient and accurate rendering of subdivision sur...
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Performance and Power Comparisons Between Nvidia and ATI GPUs

Performance and Power Comparisons Between Nvidia and ATI GPUs | opencl, opengl, webcl, webgl | Scoop.it
In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU manufacturers Nvidia and AT...
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Cardiac Dysrhythmia Detection with GPU-Accelerated Neural Networks

Cardiac Dysrhythmia Detection with GPU-Accelerated Neural Networks | opencl, opengl, webcl, webgl | Scoop.it
Cardiac dysrhythmia is responsible for over half a million deaths in the United States annually. In this work, we evaluate the performance of neural networks on classifying electrocardiogram (ECG) ...
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A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems | opencl, opengl, webcl, webgl | Scoop.it
Recent technological advances have greatly improved the performance and features of embedded systems. With the number of just mobile devices now reaching nearly equal to the population of earth, em...
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