Posts
Jun, 16
A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks
In this paper, we present a fast and scalable method for computing eigenvector centrality using graphics processing units (GPUs). The method is designed to compute the centrality on gene-expression networks, where the network is pre-constructed in the form of kNN graphs from DNA microarray data sets.
Jun, 15
ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, ACM SIGSIM PADS 2014
Building upon 28 years of history and the reputation for high quality papers, the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (ACM SIGSIM PADS) is the flagship conference of ACM’s Special Interest Group on Simulation and Modeling (SIGSIM). ACM SIGSIM PADS focuses on the intersection of Computer Science and Modeling and Simulation (M&S). […]
Jun, 14
Real-space density functional theory on graphical processing units: computational approach and comparison to Gaussian basis set methods
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 […]
Jun, 14
Improving GPU programming models through hardware cache coherence
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 […]
Jun, 14
Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET
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 […]
Jun, 14
Computing virtual acoustics using the 3D finite difference time domain method and Kepler architecture GPUs
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 […]
Jun, 14
Research on a Parallel BD-tree Index Structure
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 […]
Jun, 13
7th International ICST Conference on Simulation Tools and Techniques, SIMUTools 2014
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 […]
Jun, 13
Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits
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 […]
Jun, 13
Cost-Effective Soft-Error Protection for SRAM-Based Structures in GPGPUs
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 […]
Jun, 13
Acceleration of calculation of Third Party Risk around an airport using OpenCL
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 […]
Jun, 13
An Analysis of Conventional and Heterogeneous Workloads on Production Supercomputing Resources
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 […]