Large-scale parallel simulation and modeling have changed our world. Today, supercomputers are not just for research and scientific exploration;they have become an integral part of many industries, among which finance...
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ISBN:
(纸本)9780769541105
Large-scale parallel simulation and modeling have changed our world. Today, supercomputers are not just for research and scientific exploration;they have become an integral part of many industries, among which finance is one of the strongest growth factors for supercomputers, driven by ever increasing data volumes, greater data complexity and significantly more challenging data analysis. In this paper, a modest application of the developments of high-performance computing in finance is studied deeply. Attentions are not only focused on the what benefits the parallel algorithm bring to the financial research, but also on the practical applications of the High-Performance computing in real financial markets, especially some recent advances is highlighted. On that basis, some suggestions about the challenges and development directions of HPCs in finance are proposed.
The exponentially increasing complexity of many scientific applications and the high cost of supercomputing force us to explore new, sustainable, and affordable high-performance computing platforms. Recent significant...
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ISBN:
(纸本)0769521320
The exponentially increasing complexity of many scientific applications and the high cost of supercomputing force us to explore new, sustainable, and affordable high-performance computing platforms. Recent significant advances in FPGA technology and the inherent advantages of configurable logic have brought about new research efforts in the configurable computing field: parallel processing on configurable chips. We explore here parallel LU factorization of large sparse block-diagonal-bordered (BDB) matrices on a configurable multiprocessor that we have designed and implemented. A dynamic load balancing strategy is proposed and analyzed. Performance results for IEEE power test systems are provided. Our research provides evidence that configurable logic can be a viable alternative to high-performance scientific computing.
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effective high-performance parallelcomputing...
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ISBN:
(纸本)076950759X
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effective high-performance parallelcomputing on clustered low cost workstations and PCs. Such clusters are very attractive because they rely on available of the shelf hardware and software technologies, To simplify programming in network environments and to realise component-based software architectures, many models have emerged as possible standards, namely, RPC: Remote Procedure Call, DCE: distributedcomputing Environment, DCOM: distributed Component Object Model, CORBA: Common Object Request Broker Architecture, PVM: parallel Virtual Machine and MPI: Message Passing Interface. The MPI approach is considered one of the most mature methods currently used in parallel programming. MPI implementations on emerging cluster interconnects are an important requirement for useful parallel processing on cost-effective computer clusters. This paper offers an overview of different parallelcomputing environments and models. Functionality and performance of MPI running on ho,homogeneous and heterogeneous workstation clusters are compared. The project goals, laboratory environment, performance measurements, future work, and a conclusion are presented.
This paper proposes an efficient parallel approach to texture classification for image retrieval. The idea behind this method is to pre-extract texture features in terms of texture energy measurement associated with a...
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This paper proposes an efficient parallel approach to texture classification for image retrieval. The idea behind this method is to pre-extract texture features in terms of texture energy measurement associated with a 'tuned' mask and store them in a multi-scale and multi-orientation texture class database via a two-dimensional linked list for query. Thus each texture class sample in the database can be traced by its texture energy in a two-dimensional row sorted matrix. The parallel searching strategies are introduced for fast identifying the entities closest to the input texture throughout the given texture energy matrix. In contrast to the traditional search methods, our approach incorporates different computation patterns for different cases of available processor numbers and concerns with robust and work-optimal parallel algorithms for row-search and minimum-find based on the accelerated cascading technique and the dynamic processor allocation scheme. Applications of the proposed parallel search and multisearch algorithms to both single image classification and multiple image classification are discussed. The time complexity analysis shows that our proposal will speed up the classification tasks in a simple but dynamic manner. Examples are presented of the texture classification task applied to image retrieval of Brodatz textures, comprising various orientations and scales.
Visualization is one of the most important applications of computer graphics. To have a parallel infrastructure for visualization, some technologies would be needed. We identify the state-of-the-art technologies that ...
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ISBN:
(纸本)9780769533599
Visualization is one of the most important applications of computer graphics. To have a parallel infrastructure for visualization, some technologies would be needed. We identify the state-of-the-art technologies that have prepared for building such an infrastructure and examine a collection of applications that would benefit from it. We consider a broad range of scientific and technological advances in visualization, which are relevant to visual supercomputing. Mainly, we present the original abstracts from the cited papers.
The present advances in parallel and distributed processing and its application to database operations such as join resulted in investigating parallel algorithms. Hash based join algorithms involve a costly data parti...
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The present advances in parallel and distributed processing and its application to database operations such as join resulted in investigating parallel algorithms. Hash based join algorithms involve a costly data partitioning phase prior to the join operation. This paper presents new parallel join algorithms for relations based on grid files where no costly partitioning phase is involved, hence the performance can improve.
Wireless technology provides the service of being connected, while on move. As computer and wireless communication technology advances, handheld devices are entering in the arena of mobile computing. It can be seen th...
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ISBN:
(纸本)1892512459
Wireless technology provides the service of being connected, while on move. As computer and wireless communication technology advances, handheld devices are entering in the arena of mobile computing. It can be seen that small wireless devices like PDA (Personal Digital Assistant) will dominate the mobile computing environment in future world However, because of lack of resources and high mobility, PDAs need integrated fault-tolerant mechanisms to ensure their computational progress. In this paper, we present our classification of faults, experienced by mobile devices and then we present our architectural framework to provide availability for applications running on mobile devices. Our approach takes into account the nature of application and provides suitable fault tolerance mechanism as per the requirements of every application.
Procedural languages like C and FORTRAN have historically been the languages of choice for implementing programs for high performance parallel computers. The inherent difficulties in writing efficient parallel codes w...
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ISBN:
(纸本)088986392X
Procedural languages like C and FORTRAN have historically been the languages of choice for implementing programs for high performance parallel computers. The inherent difficulties in writing efficient parallel codes with a procedural programming model are a motivation for pursing alternatives such as high-level parallel programming languages. SequenceL is a high-level parallel language that provides declarative constructs for non-scalar processing. Rather than specifying program control structures that, in turn, imply a data product, the problem solver specifies a data product and the control structures to produce or process the data product are implied, including the parallelisms. This paper focuses on the recent advances in the development of SequenceL as a parallel programming language.
Since distributedparallelcomputing system offers users with more spread computing and storage resources, it provides us a prospect to propose new efficient and dynamic solvers for the numerical solutions of partial ...
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ISBN:
(纸本)9780889867901
Since distributedparallelcomputing system offers users with more spread computing and storage resources, it provides us a prospect to propose new efficient and dynamic solvers for the numerical solutions of partial differential equations (PDEs) in order to visualize breasts' cancerous cell. Partial differential equations (PDEs) can be classified as parabolic equation, elliptic equation and hyperbolic equation. Partial differential equations are used commonly as mathematical models for solving all of the science and engineering fields. This research will focus on the study of elliptic equations, particularly Helmholtz's wave equation and hyperbolic equations. The numerical finite-difference method is chosen as a platform for discretizating the elliptic equations and to solve the hyperbolic equations. The elliptic equation can be used as mathematical models for biological aspects of electromagnetic wave. Breast cancer is the commonest female malignancy in Malaysia as well as all over the world. The incidence of breast cancer in Malaysia is estimated to be around 27 per 100,000 populations, with close to 3,000 new cases annually. parallel Virtual Machine (PVM) is emphasized as communication open source software on distributedparallelcomputing system, which results in a performance gain. The parallel performance measurements of the parallelcomputing is analysed in this study.
Recent performance enhancements, upgrade applications, and rapid advances in computers and networking technologies have all enabled information processing devices to share computer resources. We are interested in imag...
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ISBN:
(纸本)3540658211
Recent performance enhancements, upgrade applications, and rapid advances in computers and networking technologies have all enabled information processing devices to share computer resources. We are interested in image processing that requires a large amount of calculations. If individual pixels forming an image can be calculated independently, the processing speed can be increased by parallel processing, thus reducing the overall processing time. However, it has been previously confirmed that increasing the number of servers beyond a certain point does not raise the parallel processing efficiency in a paralleldistributed processing environment using a client-server model. Therefore, we constructed a new processing environment using an agent model in order to investigate parallel image processing. This paper discusses the results of experiments in this environment in comparison with those of parallel processing in a client-server model.
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