high performance computing on graphics processing units: hgpu.org

Image denoising is a classical problem in image processing and has applications in areas ranging from photography to medical imaging. In this paper, we examine the denoising performance of an optimized spatially-varying Gaussian filter. The parameters of the Gaussian filter are tuned by optimizing a mean squared error estimate which is similar Stein’s Unbiased Risk […]

Heterogeneous computing has become a viable option in seeking computing performance, to the side of conventional homogeneous multi-/single-processor approaches. The advantage of heterogeneity is the possibility to choose the best device on the platform for different distinct workloads in the application to gain performance and/or to lower power consumption. The drawback of heterogeneity is the […]

The ICPP 2015 : XIII International Conference on Parallel Processing is the premier interdisciplinary forum for the presentation of new advances and research results in the fields of Parallel Processing. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission […]

The HEART symposium is an international forum on state-of-the-art research in high-performance and power-efficient computing using accelerator technologies such as FPGAs, GPGPUs, and/or specialized accelerators. The fifth edition of HEART will take place in Boston MA, USA. The Sixth International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART) is a forum to present and […]

Computer Graphics International is one of the oldest and true international conference in Computer Graphics and one of the five most important ones worldwide. It is an essential yearly meeting where academics present their latest models and technologies, and explore new trends and ideas. In previous years, it had been held in many different places […]

The conference encompasses a broad spectrum of intelligent systems related subjects. The following list provides examples of applicable topics; however, the list is not meant to exclude other applicable areas. Generic Topics of Interest Automated Design and Configuration of Sensory Systems, Self-x principles in Intelligent Engineering Systems, Knowledge-Based Systems, Expert Systems, Cognitive Systems, Neural Networks, […]

Section 1: Algorithms Design, analysis, and implementation of parallel algorithms in science and engineering, focusing on issues such as Scalability and speedup Efficient utilization of the memory hierarchy Communication and synchronization Data Management and Exploration Energy Efficiency. The parallel computing aspects should be emphasized. Section 2: Software and Architectures Software engineering for developing and maintaining […]

A* search is a fundamental topic in artificial intelligence. Recently, the general purpose computation on graphics processing units (GPGPU) has been widely used to accelerate numerous computational tasks. In this paper, we propose the first parallel variant of the A* search algorithm such that the search process of an agent can be accelerated by a […]

It is well recognized in the computer algebra theory and systems communities that the Fast Fourier Transform (FFT) can be used for multiplying polynomials. Theory predicts that it is fast for "large enough" polynomials. The basic idea is to use fast polynomial multiplication to perform fast integer multiplication. We can achieve really fast FFT multiplication […]

We present a method for creating three-dimensional haptic shapes in mid-air using focused ultrasound. This approach applies the principles of acoustic radiation force, whereby the non-linear effects of sound produce forces on the skin which are strong enough to generate tactile sensations. This mid-air haptic feedback eliminates the need for any attachment of actuators or […]

Radio propagation simulation tools are important for prediction and verification of the radio signal coverage by individual transmitters or transmitter networks such as mobile phone cellular networks. In the case of a large geographic area with a relative high resolution, the simulation can become computationally demanding, taking a considerable amount of time to accomplish. Parallel […]

We introduce a hybrid system composed of a convolutional neural network and a discrete graphical model for image recognition. This system improves upon traditional sliding window techniques for analysis of an image larger than the training data by effectively processing the full input scene through the neural network in less time. The final result is […]