The spread of a source is defined as the number of distinct destinations to which the source has sent packets during ameasurement period. Spread estimation is essential in traffic monitoring, measurement, intrusion detection, to mention a few. To support high speed networking, recent research suggests implementing a spread estimator in fast but small on-chip memory such as SRAM. A state-of-the-...

Extracting complex geometric primitives from 2-D imagery is a long-standing problem that researchers have had to deal with. Various approaches were tried from Hough transform based methods to stochastic algorithms. However, serial implementations lack sufficient scalability on high resolution imagery. As sequential computing power cannot pace up with the increase in size of datasets, researcher...

This paper presents a highly-efficient approach to matched-field localization of an unknown number of ocean acoustic sources employing a graphics processing unit (GPU) for massively parallel computations. A Bayesian formulation is developed in which the number, locations, and complex spectra (amplitudes and phases) of multiple sources, as well as noise variance at each frequency, are considered...

In this paper, we propose a scheme to accelerate the Probabilistic Latent Semantic Indexing (PLSI), which is an automated document indexing method based on a statistical latent semantic model, exploiting the high parallelism of Graphics Processing Unit (GPU). Our proposal is composed of three techniques: the first one is to accelerate the Expectation-Maximization (EM) computation by applying GP...

Robust and accurate speech recognition systems can only be realized with adequately trained acoustic models. For common languages, state-of-the-art systems are now trained on thousands of hours of speech data. Even with a large cluster of machines the entire training process can take many weeks. To overcome this development bottleneck we propose a new framework for rapid training of acoustic mo...

Matrix size LS [s] VS [s] CUDA Solver [s] LS vs. CUDA VS vs. CUDA 16x3408 85.68 1.20 0.10 870.70 12.20 32x3472 348.92 2.36 0.41 851.02 5.76 64x360

Hyperspectral image compression has received considerable interest in recent years due to the enormous data volumes collected by imaging spectrometers for Earth Observation. JPEG2000 is an important technique for data compression, which has been successfully used in the context of hyperspectral image compression, either in lossless and lossy fashion. Due to the increasing spatial, spectral, and...

In our previous work, we proposed a joint optical flow and principal component analysis (PCA) approach to improve the performance of optical flow based detection, where PCA is applied on the calculated two-dimensional optical flow image, and motion detection is accomplished by a metric derived from the two eigenvalues. To reduce the computational time when processing airborne videos, parallel c...

The discrete wavelet transform (DWT) has been extensively studied and developed in various scientific and engineering fields. The multiresolution and local nature of the DWT facilitates applications requiring progressiveness and the capture of high-frequency details. However, the intensive computation of DWT caused by multilevel filtering/down-sampling will become a significant bottleneck in re...

Medical Image registration is a preprocessing step for the medical images analysis which requires large computations when executed on sequential processors. To increase the execution speed, the registration process executed on the graphics processing unit which execute the registration process parallel. Registration process is divided into the parts in the form of kernels which are evaluated by...