high performance computing on graphics processing units: hgpu.org

The objective in this case is not only to be realistic, but also to provide new and intelligible ways of model representation. This raises new issues in data perception. The question of perception of complex data, especially regarding visual feedback, is an open question, and it is the subject of this work. This PhD thesis […]

Recent years have seen a great increase in the everyday use of real-time video communication over the internet through video conferencing applications. Limitations on computational resources and network bandwidth require video encoding algorithms that provide acceptable quality on low bitrates and can support various resolutions inside the same stream. In this work, the authors present […]

Object detection, and in particular pedestrian detection, is a challenging task, due to the wide variety of appearances. The application domain is extremely broad, ranging from e.g. surveillance to automotive safety systems. Many practical applications however often rely on stringent real-time processing speeds combined with high accuracy needs. These demands are contradictory, and usually a […]

Today, parallel architectures are the main vector for exploiting available die area. The shift from architectures tuned for sequential programming models to ones optimized for parallel processing follows from the inability of further enhance sequential performance due to power and memory walls. On the other hand, efficient exploitation of parallel computing units looks a hard […]

Peta-scale high-performance computing systems are increasingly built with heterogeneous CPU and GPU nodes to achieve higher power efficiency and computation throughput. While providing unprecedented capabilities to conduct computational experiments of historic significance, these systems are presently difficult to program. The users, who are domain experts rather than computer experts, prefer to use programming models closer […]

Several problems in computational biology require the all-against-all pairwise comparisons of tens of thousands of individual biological sequences. Each such comparison can be performed with the well-known Needleman-Wunsch alignment algorithm. However, with the rapid growth of biological databases, performing all possible comparisons with this algorithm in serial becomes extremely time-consuming. The massive computational power of […]

Computer Vision (CV) is a rapidly growing field, intent on enabling computers to process, analyze, and understand the information of images to produce structured information and/or make decisions. In recent years, interest in computer vision has grown in part as a result of both cheaper and more capable cameras, but also largely because of affordable […]

The Multiple Signal Classification (MUSIC) algorithm is a powerful technique for determining the Direction of Arrival (DOA) of signals impinging on an antenna array.The algorithm is serial based, mathematically intensive, and requires substantial computing power to realize in real-time.Recently, multi-core processors are becoming more prevalent and affordable.The challenge of adapting existing serial based algorithms to […]

CONTEXT. The cryptographically secure pseudo-random number generator Blum Blum Shub (BBS) is a simple algorithm with a strong security proof, however it requires very large numbers to be secure, which makes it computationally heavy. The Graphics Processing Unit (GPU) is a common vector processor originally dedicated to computer-game graphics, but has since been adapted to […]

Graphics Processing Unit (GPU) has been converted to general purpose parallel processor devices from a single rendering. It performed far better than the CPU in many fields of science. String matching is widely used, especially in information retrieval, intrusion detection, Computational Biology etc. In this paper, we designed and implemented a GPU-based multi-string matching algorithm […]

High-performance computing systems today include a variety of compute devices such as multi-core CPUs, GPUs and many-core accelerators. OpenCL allows programming different types of compute devices using a single API and kernel language. However, there is no standard matrix operations library in OpenCL for operations such as matrix multiplication that works well on a variety […]

An algorithm is proposed for tracking objects in real time. The algorithm is based on neural network implemented on GPU. Investigation and parameter optimization of the algorithm are realized. Tracking process has accelerated by 10 times and the training process has accelerated by 2 times versus to the sequential algorithm version. The maximum resolution of […]