high performance computing on graphics processing units: hgpu.org

We present the extensible post processing framework GrIP, usable for experimenting with screen space-based graphics algorithms in arbitrary applications. The user can easily implement new ideas as well as add known operators as components to existing ones. Through a well-defined interface, operators are realized as plugins that are loaded at run-time. Operators can be combined […]

Column oriented in-memory databases typically use dictionary compression to reduce the overall storage space and allow fast lookup and comparison. However, there is a high performance cost for updates since the dictionary, used for compression, has to be recreated each time records are created, updated or deleted. This has to be taken into account for […]

Registrations in medical imaging and computational anatomy can be obtained using the Large Deformation Diffeomorphic Kernel Bundle Mapping (LDDKBM) framework. This provides a registration algorithm with a solid mathematical foundation while incorporating regularization of deformation at multiple scales. Because the variational formulation of LDDKBM implies a heavy computational burden in the search for optimal registrations, […]

The present work investigates the feasibility of nite element methods and topology optimization for unstructured meshes in massively parallel computer architectures, more speci cally on Graphics Processing Units or GPUs. Algorithms for every step in these methods are proposed and benchmarked with varied results. The ultimate goal of this work is to speed up the […]

In recent years CUDA has become a major architecture for multithreaded computations. Unfortunately, its potential is not yet being commonly utilized because many fundamental problems have no practical solutions for such machines. Our goal is to establish a hybrid multicore/parallel theoretical model that represents well architectures like NVIDIA CUDA, Intel Larabee, and OpenCL as well […]

The colour fields created by the static tetraquark and pentaquark systems are computed in quenched SU(3) lattice QCD, with gauge invariant lattice operators, in a 24^3 x 48 lattice at beta=6.2. We generate our quenched configurations with GPUs, and detail the respective benchmanrks in different SU(N) groups. While at smaller distances the coulomb potential is […]

The recent time has seen the rise of consumer grade massively parallel environments. Powerful GPUs and multi-core processors became widely available and easy to use programming APIs such as nVidia CUDA, OpenCL, and DirectCompute simplify the development of applications that can utilize them. In this environment, the nature inspired metaheuristics can be in suitable cases […]

In order to render hundreds or thousands of views for multi-user games on a cloud-based gaming at interactive rates, we need a solution which is both scalable and efficient.We present a new cloud-based gaming service system which supports multiple viewpoint rendering for visualizing a 3D game scene dataset at the same time for the multi-user […]

We advocate the use of high-level OS abstractions in heterogeneous systems, such as CPU-GPU hybrids. We suggest the idea of an inter-device shared file system (IDFS) for such architectures. The file system provides a unified storage space for seamless data sharing among processors and accelerators via a standard wellunderstood interface. It hides the asymmetric nature […]

Passwords are still one of the most common means of securing computer systems. Most organizations rely on password authentication systems, and therefore, it is very important for them to enforce their users to have strong passwords. They usually try to enforce security by mandating users to follow password creation policies. They force users to follow […]

Machine tools play an important role in manufacturing, but it is not easy to ensure efficiency and low cost, for machine tools. A machine tool simulation and evaluation system is urgently required. This paper presents an integrated machine tool simulation and evaluation system, which incorporates 3-D motion simulation and collision detection. The evaluation system incorporates […]

Bayesian inference with Bayesian networks is a #P-complete problem in general. Exact Bayesian inference is feasible in practice only on small-scale Bayesian networks or networks that are dramatically simplified, such as with naive Bayes or other approximations. Stochastic sampling methods, in particular importance sampling, form one of the most prominent and efficient approximate inference techniques […]