In 2006 NVIDIA introduced a new unified GPU architecture facilitating generalpurpose computation on the GPU. The following year NVIDIA introduced CUDA, a parallel programming architecture for developing general purpose applications for direct execution on the new unified GPU. CUDA exposes the GPU’s massively parallel architecture of the GPU so that parallel code can be written to execute much f...

Deep learning applications are computationintensive and often employ GPU as the underlying computing devices. Deep learning frameworks provide powerful programming interfaces, but the gap between source codes and practical GPU operations make it difficult to analyze the performance of deep learning applications. In this paper, through examing the features of GPU traces and deep learning applica...

The computing power of graphics processing units (GPU) has increased rapidly, and there has been extensive research on general-purpose computing on GPU (GPGPU) for cryptographic algorithms such as RSA, ECC, NTRU, and AES. With the rise of GPGPU, commodity computers have become complex heterogeneous GPU+CPU systems. This new architecture poses new challenges and opportunities in high-performance...

In low-income countries, malnutrition is often most severe among infants of six to twenty-four months. They need higher-density foods than the family diet, but density is a credence attribute. We hypothesize that the premium now paid for heavily advertised brands reflects demand for quality assurance, which could be provided at lower cost to competing firms through third-party certification. We...

BACKGROUND The aim of this study was to evaluate the perceived influence of telehealth on recruitment and retention of healthcare professionals in remote areas in Mali. METHODS After 15 months of diagnosis imaging training and telehealth activities at four project sites in remote Mali, between May 2011 and August 2012, a 75-item questionnaire was administered to healthcare professionals to as...

Countryside automatic cartography is a real and decisive challenge in the current societal context (e.g., the famine risk analysis, the deforestation consequence analysis). In this paper, we propose a preliminary approach allowing the landscape characterization. More precisely, an itemset-based-technique is developed to extract crop types features. One of the main strengths of the proposed meth...

GPU VSIPL is an implementation of the Vector Signal Image Processing Library (VSIPL) and provides a librarybased solution to developing GPU-accelerated numerical applications. GPU VSIPL now supports much of the VSIPL Core Profile as well as element-wise matrix operators corresponding to required vector operators. This is nearly a five-fold increase in function count since GPU VSIPL was first in...

The introduction of NVidia’s powerful Tesla GPU hardware and Compute Unified Device Architecture (CUDA) platform enable many-core parallel programming. As a result, existing algorithms implemented on a GPU can run many times faster than on modern CPUs. Relatively little research has been done so far on GPU implementations of discrete optimisation algorithms. In this paper, two approaches to par...

Image registration is a crucial step of many remote sensing related applications. As the scale of data and complexity of algorithm keep growing, image registration faces great challenges of its processing speed. In recent years, the computing capacity of GPU improves greatly. Taking the benefits of using GPU to solve general propose problem, we research on GPU-based remote sensing image registr...

The computing power of graphics processing units (GPU) has increased rapidly, and there has been extensive research on generalpurpose computing on GPU (GPGPU) for cryptographic algorithms such as RSA, ECC, NTRU, and AES. With the rise of GPGPU, commodity computers have become complex heterogeneous GPU+CPU systems. This new architecture poses new challenges and opportunities in highperformance c...