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.
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited number of synchronization methods. PARSEC includes emerging applications in recognition, mining and...
The problem that the mechanical fault information of wind turbine generator is weak in the voltage and current signals need to be solved, information is not conducive to the identification and extraction. According to the common algorithm, the instantaneous power and other parameters are combined well, and we exploit the characteristic of mechanical fault information which is used in the same phase...
With the development of digital technology, gird technology is rapidly developing. Grid computing, as a key technology for the next generation Internet, becomes one of the hot areas of current research at domestic and international. Resource management and scheduling algorithm are the two fundamental problems in grid computing. Firstly, the conception of gird is introduced and grid resource algorithm...
Recently, the Graphic Processor Unit (GPU) has evolved into a highly parallel, multithreaded, many-core processor with tremendous computational horsepower and very high memory bandwidth. To improve the simulation efficiency of complex flow phenomena in the field of computational fluid dynamics, a CUDA-based simulation algorithm of large eddy simulation using multiple GPUs is proposed. Our implementation...
Simulation optimization has received a great deal of attention over the decades, which probably can be attributed to its generality and solvability in many practical problems. On the other hand, simulation optimization is well-recognized as a difficult problem, especially when the problem dimensionality grows. STRONG is a newly-developed method built upon the traditional response surface methodology...
A good benchmark suite should provide users with inputs that have multiple levels of fidelity for different use cases such as running on real machines, register level simulations, or gate-level simulations. Although input reduction has been explored in the past, there is a lack of understanding how to systematically scale input sets for a benchmark suite. This paper presents a framework that takes...
While the increasingly e-commerce provides enormous opportunities, it presents potential threats and risks because of lack of trust as well. Various trust management polices are proposed to improve these issues. However, most of these existing approaches only take into account a global attribute. The evaluation granularity is too coarse for customers to make an exact transaction decision. This paper...
Diversity among base classifiers is known to be a necessary condition for improving ensemble learning performance. In this paper, methods of selective ensemble learning including hill-climbing selection, ensemble forward sequential selection, ensemble backward sequential selection and clustering selection are studied. To measure the diversity among base classifiers in ensemble learning, the entropy...
This paper proposes a source-level timing annotation method for generation of accurate transaction level models for software computation modules. While transaction level modeling (TLM) approach is widely adopted now for system modeling and simulation speed improvement, timing estimation accuracy often is compromised. To have reliable and accurate estimation results at system level, we propose a timing...
In this paper, we present an efficient algorithm to generate tetrahedral meshes from surface models. Our algorithm first subdivides the axis-aligned bounding box of a surface model into a number of uniform tetrahedra, and then generates an initial indention mesh after removing all the tetrahedra outside the surface model by employing a signed distance function, defined by the vertices of the surface...
The attack graph, a typical model-based method, is widely used in the field of network security evaluation. The biggest disadvantage of attack graph method is its exponential growth of the state space. This paper presents an efficient algorithm based on the malefactorpsilas access level vector in every host of the network to generate a reduced attack graph in polynomial compute complexity. In this...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.