In this paper, we propose a way to distribute the video analytics workload into both the CPU and GPU, with a performance prediction model including characteristics of feature extraction from the video stream data. That is, we estimate the total execution time of a CPU-GPU hybrid computing system with the performance prediction model, and determine the optimal workload ratio and how to use the C...

The massive amount of fine-grained parallelism exposed by a GPU program makes it difficult to exploit shared cache benefits even there is good program locality. The non deterministic feature of thread execution in the bulk synchronize parallel (BSP) model makes the situation even worse. Most prior work in exploiting GPU cache sharing focuses on regular applications that have linear memory acces...

A new method is presented for rendering general FRep (functionally represented) models using GPU-accelerated ray casting. We use the GPU acceleration for all computations in the rendering algorithm: ray-surface intersection calculation, function evaluation, and normal vector computation. Performing geometric intersection calculations in parallel with shading allows us to combine the whole proce...

MOTIVATION Bayesian phylogenetic inference can be used to propose a 'tree of life' for a collection of species whose DNA sequences are known. While there are many packages available that implement Bayesian phylogenetic inference, such as the popular MrBayes, running these programs poses significant computational challenges. Parallelized versions of the Metropolis coupled Markov chain Monte Carl...

Modern graphics processing units (GPUs) can perform generalpurpose computations in addition to the native specialized graphics operations. Due to the highly parallel nature of graphics processing, the GPU has evolved into a many-core coprocessor that supports high data parallelism. Its performance has been growing at a rate of squared Moore’s law, and its peak floating point performance exceeds...

In this paper we describe and evaluate a fast implementation of a classical block matching motion estimation algorithm for multiple Graphical Processing Units (GPUs) using the Compute Unified Device Architecture (CUDA) computing engine. The implemented block matching algorithm (BMA) uses summed absolute difference (SAD) error criterion and full grid search (FS) for finding optimal block displac...

Heterogeneous processing using GPUs is here to stay and today spans mobile devices, laptops, and supercomputers. Although modern software development frameworks like OpenCL and CUDA serve as a high productivity environment, software development for GPUs is time consuming. First, much work needs to be done to restructure software and data organization to match the GPU’s many-threaded programming...

Intensified use of agricultural inputs, particularly fertilizer, is a possible route to improved agricultural productivity. Field trials of these technologies show substantial increases in yields, but typically are done on highly monitored experimental plots rather than by farmers themselves. Returns to a certain technology might be quite different on real-world farms than on experimental farms...

The Bandafassi Health and Demographic Surveillance System (Bandafassi HDSS) is located in south-eastern Senegal, near the borders with Mali and Guinea. The area is 700 km from the national capital, Dakar. The population under surveillance is rural and in 2012 comprised 13 378 inhabitants living in 42 villages. Established in 1970, originally for genetic studies, and initially covering only vill...

Title: Cost-Effectiveness of the Treatment of Uncomplicated Severe Acute Malnutrition by Community Health Workers Compared to Treatment Provided at an Outpatient Facility in rural Mali Authors: Eleanor Rogers ([email protected]) Karen Martinez ([email protected]) Jose Luis Alvarez Morán ([email protected]) Franck Alé ([email protected]) Pilar Charle (pcharle@accionc...