high performance computing on graphics processing units: hgpu.org

In this study, an implementation of a Kite Aerial Photography (KAP) system for real time image enhancement /reconstruction of remote sensing (RS) imagery is presented. The system is comprised in three stages: first, a gyro-stabilized mechatronic platform for the image acquisition is developed; second, the multispectral images are transmitted via RF to ground station; and […]

There are great interests in understanding the manner by which the prime numbers are distributed throughout the integers. Prime numbers are being used in secret codes for more than 60 years now. Computer security authorities use extremely large prime numbers when they devise cryptographs, like RSA (short for Rivest, Shamir, and Adleman) algorithm, for protecting […]

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore […]

User-level components can expose multiple functionally equivalent implementations with different resource requirements and performance characteristics. A composition framework can then choose a suitable implementation for each component invocation guided by an objective function (execution time, energy etc.). In this paper, we describe the idea of conditional composition which enables the component writer to specify constraints […]

The Bayesian theorem is the most used instrument for stochastic inferencing in nonlinear dynamic systems and also the fundament of measurement uncertainty evaluation in the GUM. Many powerful algorithms have been derived and applied to numerous problems. The most widely used algorithms are the broad family of Kalman filters (KFs), the grid-based filters and the […]

A two-phase (water and oil) flow model in a homogeneous porous media is studied, considering immiscible and incompressible displacement. This model is numerically solved using the Finite Volume Method (FVM) and we compare four numerical schemes for the approximation of fluxes on the faces of the discrete volumes. We describe briefly how to obtain the […]

We present an open source, object oriented framework for Smoothed Particle Hydrodynamics called PySPH. The framework is written in the high level, Python programming language and is designed to be user friendly, flexible and application agnostic. PySPH supports distributed memory computing using the message passing paradigm and (limited) shared memory like parallel processing on hybrid […]

This book is a practical guide to the OpenGL Shading Language, which contains several real-world examples that will allow you to grasp the core concepts easily and the use of the GLSL for graphics rendering applications. If you want upgrade your skills, or are new to shader programming and want to learn about graphic programming, […]

The accurate simulation and emulation of mobile radios requires the computation of RF propagation path loss in order to accurately predict connectivity and signal interference. There are many algorithms available for computing the RF propagation path loss between wireless devices including the Longley-Rice model, the transmission line matrix (TLM), ray-tracing, and the parabolic equation method. […]

This paper addresses the problem of 3D shape retrieval in large databases of 3D objects (large retrieval). While this problem is emerging and interesting as the size of 3D object databases grows rapidly, the main two issues the community has to focus on are: computational efficiency of 3D object retrieval and the quality of retrieved […]

With current advances in high performance computing, particularly the applications of GPUs, it is easy to see the need for a model for GPU algorithm development. We developed a model which offers a multi-grained approach intended to accommodate nearly any GPU. Radiation therapy is one of the most effective forms of cancer treatment available. In […]

DEF-G is a declarative language and framework for the efficient generation of OpenCL GPU applications. Using our proof-of-concept DEF-G implementation, run-time and lines-of-code comparisons are provided for three well-known algorithms (Sobel image filtering, breadth-first search and all-pairs shortest path), each evaluated on three different platforms. The DEF-G declarative language and corresponding OpenCL kernels generated complete […]