This paper presents the integration of a proposed enhanced multi-object color tracking, Partitioned Region Matching (PRM), and Spatial Region Graph (adjacency graph) for real time multi-object tracking. The problem of real-time object tracking is addressed by employing feature-based tracking technique that focuses on the integration of color feature tracking in regions of interest, and motion e...

Road network microsimulation is computationally expensive, and existing state of the art commercial tools use task parallelism and coarse-grained data-parallelism for multi-core processors to achieve improved levels of performance. An alternative is to use Graphics Processing Units (GPUs) and fine-grained data parallelism. This paper describes a GPU accelerated agent based microsimulation model...

We present MadFlow, a first general multi-purpose framework for Monte Carlo (MC) event simulation of particle physics processes designed to take full advantage hardware accelerators, in particular, graphics processing units (GPUs). The automation process generating all the required components MC generic and its deployment on accelerator is still big challenge nowadays. In order solve this chall...

for many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. however, an issue that has rarely been studied is the speed of these methods. considering the computer hardware limitations, it is necessary for these methods to run in high speed. one of the methods to increase the processing speed is to use the computer pa...

This paper presents optimizations to Principal Component Analysis (PCA) in GRASS GIS. The current implementation of PCA in GRASS is based on eigenvalue decomposition, which does not have high memory requirements but it can suffer from low runtime performance. In modern computers, significant performance improvements can be achieved by appropriately taking advantage of the memory configuration (...

To improve the power consumption of parallel applications at runtime, modern processors provide frequency scaling and limiting capabilities. In this work, a runtime strategy is proposed to maximize performance under given budget by distributing available according relative GPU utilization. Time series forecasting methods were used develop workload prediction models that accurate utilization dur...

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 ...

Digital mobile communication technologies, such as next generation mobile communication and mobile TV, are rapidly advancing. Hardware designs to provide baseband processing of new protocol standards are being actively attempted, because of concurrently emerging multiple standards and diverse needs on device functions, hardwareonly implementation may have reached a limit. To overcome this chall...