Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Meshless methods to simulate fluid flows have been increasingly evolving through the years since they are a great alternative to deal with large deformations, which is where mesh-based methods fail to perform efficiently. A well known meshless method is the Moving Particle Semi-implicit (MPS) method, which was designed to simulate free-surface truly incompressible fluid flows. Many variations and...
In this research, we propose a heterogeneous anomaly-based intrusion detection system (HA-IDS) which is built on both of Field-Programmable Gate Array (FPGA) and Graphics Processing Unit (GPU) platforms. An essential anomaly-based IDS comprises of the two main components: Feature Construction Module (FC) to extract and collect network header information, and Classification Module (CM) to categorize...
This paper presents a new efficient algorithm for scaling by power of two in the residue number system (RNS). It focuses on arbitrary moduli sets with large dynamic ranges. In this algorithm, in order to determine the remainder when dividing the number to be scaled by the scaling factor, an interval estimation of the RNS representation is used. The proposed algorithm requires only machine-precision...
Lack of safety and efficacy are the two major reasons for the failures of drug candidates in drug discovery and development. Reliable prediction of blood-brain barrier permeation even before chemical synthesis still remains as one of the major challenges in drug discovery. New approaches and models that are reliable and can reduce experimental evaluations of pre-clinical candidates are in urgent need...
Currently computer security relies mainly on Cryptography as a means of data protection. This project aims to develop the algorithm for RSA parallelized, deploying it to a GPU (Graphics Processing Unit) taking advantage of the computing power, in order to improve the speed of processing in comparison with the algorithm based on the CPU.
The use of GPU in point cloud processing usually represents a gain in computation time more than ten times higher then on CPU, especially for large amounts of data. This paper brings an evaluation of the processing time for point cloud fusion in three different systems (PC, Nvidia TX1 and Nvidia TK1) using CPU and GPU. The objective is to find the best way to perform sensor fusion for an autonomous...
Convolutional Neural Networks (CNNs) are multi-layer deep structures that have been very successful in visual recognition tasks. These networks basically consist of the convolution, pooling, and the nonlinearity layers, each of which operates on the representation produced by the preceding layer and generates a new representation. Convolution layers naturally compute some inner product between a plane...
High precision results in structural with the shortest time consumption are expected when methods are introduced to solve FEM(Finite element method). Solving of stiffness matrix assembled by isoparametric elements and solving the assembled stiffness matrix are the most time-consuming. In the previous serial algorithms, there is always a time limitation for some applications and it is hard to achieve...
We have considered the response of an ensemble of uniaxial ferromagnetic nanoparticles placed into a fluid to an alternating field in the presence of thermal bath. The attention was paid to the absorbtion of the field energy as a result of nanoparticles rotation in a viscous fluid. The influence of the inter-particle interaction effects was studied numerically based on the effective Langevin equation...
GPU-based clusters are widely chosen for accelerating a variety of scientific applications in high-end cloud environments. With their growing popularity, there is a necessity for improving the system throughput and decreasing the turnaround time for co-executing applications on the same GPU device. However, resource contention among multiple applications on a multi-tasked GPU leads to the performance...
Presented paper explains general purpose approach to the parallel pixel processing on GPU. It presents essential dataset structuring, correct type assignment and kernel configuration for CUDA application interface. Paper also explains data movement and optimal computation saturation. Transfers are also analyzed in correlation with the computation especially for the embarrassingly parallel problem...
Graph models of social information systems typically contain trillions of edges. Such big graphs cannot beprocessed on a single machine. The graph object must bepartitioned and distributed among machines and processedin parallel on a computer cluster. Programming such systemsis very challenging. In this work, we present DH-Falcon, a graph DSL (domain-specific language) which can be usedto implement...
Nowadays, Graphics Processing Unit (GPU) is essential for general-purpose high-performance computing, because of its dominant performance in parallel computing compare to that of CPU. There have been many successful trials on the use of GPU in virtualized environment. Especially, NVIDIA Docker obtained a most practical way to bring GPU into the container-based virtualized environment. However, most...
Software for simulation of large networks of coupled non-linear oscillators in clusters, grids and clouds using graphical processing units (GPU) was designed, developed, tested and applied for scientific simulations. The software provides easy integration of new oscillators' models support, dynamic load distribution between hosts' central processing units (CPU) and several GPU devices. Different GPU...
GPGPUs have been widely used for improving the performance of algorithms, with many papers documenting high order speed ups. Leading companies and industries with high expectations to attain similar quality of results for their applications. On many cases, however, results can be misleading, as sufficient description is not presented to validate and replicate results. This paper evaluates the applicability...
The need for information of the Earth's surface is growing as it is the base for applications such as monitoring the land uses or performing environmental studies, for example. In this context the effective change detection (CD) among multitemporal datasets is a key process that must produce accurate results obtained by computationally efficient algorithms. Most of the CD methods are focused on binary...
Lagrangian carotid strain imaging (LCSI) involves estimation of deformation in the carotid artery due to blood pressure variations under cardiac pulsation. Local strain over a cardiac cycle is tracked, which is computationally intensive. We incur long offline processing times for LCSI which becomes a limiting factor for clinical adoption. We report on the computational speedup obtained for a parallelized...
In this paper, we present collaborative CPU + GPU algorithms for triangle counting and truss decomposition, the two fundamental problems in graph analytics. We describe the implementation details and present experimental evaluation on the IBM Minsky platform. The main contribution of this paper is a thorough benchmarking and comparison of the different memory management schemes offered by CUDA 8 and...
Travelling Salesperson Problem being a classic combinatorial optimization problem is an interesting but a challenging problem to be solved. It falls under the class of NP-hard problem and becomes non-solvable for large data set by traditional methods like integer linear programming and branch and bound method, being the earlier popular approaches. Genetic Algorithm based solutions emerged as the most...
Developed cities are facing a serious problem of traffic congestion that leads to the wastage of both fuel and time of the commuters. To alleviate this problem, a preemptive HAPO (HAPO-P) algorithm has been presented in the literature to reduce the trip time by combining HAPO algorithm with preemptive traffic control. The HAPO-P algorithm is able to minimize the travel time to some extent, but dynamic...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.