high performance computing on graphics processing units: hgpu.org

We discuss the application of graphical processing units (GPUs) to accelerate real-space density functional theory (DFT) calculations. To make our implementation efficient, we have developed a scheme to expose the data parallelism available in the DFT approach; this is applied to the different procedures required for a real-space DFT calculation. We present results for current-generation […]

Graphics Processing Units (GPUs) have been shown to be effective at achieving large speedups over contemporary chip multiprocessors (CMPs) on massively parallel programs. The lack of well-defined GPU memory models, however, prevents support of high-level languages like C++ and Java, and negatively impacts their programmability. This thesis proposes to improve GPU programmability by adding support […]

Scatter correction is very important in 3D PET reconstruction due to a large scatter contribution in measurements. Currently, one of the most popular methods is so called single scatter simulation (SSS), which considers single Compton scattering contributions from many randomly distributed scatter points. The SSS enables a fast calculation of scattering with a relatively high […]

The computation of virtual acoustics for physical modelling synthesis using the finite difference time domain is a computationally expensive process, especially at audio rates such as 44.1kHz. However, the high level of dataindependence is well suited to parallel architectures such as those provided by graphics processing units. This paper describes the use of the latest […]

The BD-tree is an efficient database index structure which has good random access performance like hashing methods and can also provide range search and key sequential access like the B+-tree. In order to further improve the operational performance of the BD-tree, we adapted the traditional BD-tree hash function to realize the BD-tree parallel processing. By […]

SIMUTools 2014 is the seventh edition of the annual International Conference on Simulation Tools and Techniques. The conference focuses on a broad range of research challenges in the field of simulation, modeling and analysis, addressing current and future trends in simulation techniques, models, practices and software. The conference is dedicated to fostering interdisciplinary collaborative research […]

This article describes CUDA technology of high-performance parallel computing and its application in the modeling of mineral deposits. The article describes CUDA technology of high-performance parallel computing. It provides the concept, features of the technology architecture, the principle of development of applications based on CUDA. The article presents algorithms for modeling mineral resources deposits using […]

The general-purpose computing on graphics processing units (GPGPUs) are increasingly used to accelerate parallel applications. This makes reliability a growing concern in GPUs as they are originally designed for graphics processing with relaxed requirements for execution correctness. With CMOS processing technologies continuously scaling down to the nano-scale, on-chip soft error rate (SER) has been predicted […]

During the past two decades, the Dutch National Aerospace Laboratory has developed a model to calculate the risk for third parties around airports. This Third Party Risk model is used in the decision making with respect to airport development and land use planning. Due to the increase of air traffic, the availability of improved individual […]

Cloud computing setups are a huge investment of resources and personnel to maintain. As the workload on a system is a major contributing factor to both the performance of the system and a representation of the needs of system users, a clear understanding of the workload is critical to organizations that support supercomputing systems. In […]

This paper presents a high speed implementation of an optical flow algorithm which computes planar velocity fields in an experimental flow. Real-time computation of the flow velocity field allows the experimentalist to have instantaneous access to quantitative features of the flow. This can be very useful in many situations: fast evaluation of the performances and […]

The Discrete Memory Machine (DMM) and the Unified Memory Machine (UMM) are theoretical parallel computing models that capture the essence of the shared memory access and the global memory access of GPUs. The main contribution of this paper is to introduce the Hierarchical Memory Machine (HMM), which consists of multiple DMMs and a single UMM. […]