high performance computing on graphics processing units: hgpu.org

The model to be described is based on the findings of evolutionary developmental biology (evo devo) and is determined to emphasize the fundamental importance of the development process additionally to genetic material, forming virtual embryos and furthermore Artificial Neural Networks (ANN). It was originally developed by Ronald Thenius in 2008 and extended by Michael Bodi […]

This paper presents a real-time processing platform for high definition stereo video. The system is capable to process stereo-video streams at resolutions up to 1920×1080 at 30 frames per second (1080p30). In the hybrid FPGA-GPU-CPU system, a high-density FPGA is used to perform not only the low-level image processing tasks such as color interpolation and […]

In this paper we present a GPU-accelerated implementation of the well-known freeform deformation algorithm to allow for deformable objects within fully interactive virtual environments. We furthermore outline how our real-time deformation approach can be integrated into the X3D standard for more accessibility of the proposed methods. The presented technique can be used to deform complex […]

(Counterparty) Credit Valuation Adjustments (CVA) has become a prevailing form of pricing default risk on over-the-counter (OTC) contracts. Due to the large size of portfolios included in the CVA calculation and its computational complexity, large computing grids are needed for the evaluation. The main purpose of this thesis is to investigate an even more computationally […]

Graphics Processing Units (GPUs) have evolved into highly parallel and fully programmable architectures over the past five years, and the advent of CUDA has facilitated their application to many real-world applications. In this paper, we deal with a GPU implementation of Ant Colony Optimisation (ACO), a population-based optimisation method which comprises two major stages: Tour […]

Programs written for GPUs often contain correctness errors such as races, deadlocks, or may compute the wrong result. Existing debugging tools often miss these errors because of their limited input-space and execution-space exploration. Existing tools based on conservative static analysis or conservative modeling of SIMD concurrency generate false alarms resulting in wasted bug-hunting. They also […]

In this white paper we show how to use the CUSPARSE and CUBLAS libraries to achieve a 2x speedup over CPU in the incomplete-LU and Cholesky preconditioned iterative methods. We focus on the Bi-Conjugate Gradient Stabilized and Conjugate Gradient iterative methods, that can be used to solve large sparse nonsymmetric and symmetric positive definite linear […]

In this paper, we analyze the power consumption of different GPU-accelerated iterative solver implementations enhanced with energy-saving techniques. Specifically, while conducting kernel calls on the graphics accelerator, we manually set the host system to a power-efficient idle-wait status so as to leverage dynamic voltage and frequency control. While the usage of iterative refinement combined with […]

In this paper a Grammar Guided Genetic Programming based method for the learning of rule-based classification systems is proposed. The method learns disjunctive normal form rules generated by means of a context-free grammar. The individual constitutes a rule based decision list that represents the full classifier. To overcome the problem of computational time of this […]

Energy efficiency is a major concern in modern high-performance-computing. Still, few studies provide a deep insight into the power consumption of scientific applications. Especially for algorithms running on hybrid platforms equipped with hardware accelerators, like graphics processors, a detailed energy analysis is essential to identify the most costly parts, and to evaluate possible improvement strategies. […]

From the standpoint of a computer engineer there are (at least) two ways to improve the execution time of an algorithm. First, one might build sequential processing units with increased speed (this is most common in CPUs, although those have also incorporated parallel processing paradigms), while the second alternative is to build a massive number […]

The topic of this thesis is ray tracing dynamic scenes and doing that efficiently while harnessing the massive computational power of today’s graphics cards. It is motivated by the ever increasing interest in raytracing and global illumination for creating effects in movies, but also the increased usage of 2D and 3D ray tracing in modern […]