Learn More
Association rule mining is one of the most important techniques in data mining. It extracts significant patterns from transaction databases and generates rules used in many decision support applications. Many organizations such as industrial, commercial, or even scientific sites may produce large amount of transactions and attributes. Mining effective rules(More)
The multicast operation used by MPI under Grid environment can have a substantial impact on performance of parallel applications. Since the finding of an optimal multicast operation is an NP-hard problem, a near-optimal heuristic is crucial for building an efficient MPI runtime. This paper presents a new multicast algorithm called Longest Parallel Branch(More)
The task of trading orders matching in financial markets is a very challenging task since due to the speed of arriving request. In this paper, the GPUs technology and CUDA programming is explored as a potential technology to accelerate this task. The trading method in Automatic Order Matching (AOM) of Stock Exchange of Thailand (SET) is used as a case(More)
SUMMARY Many production Grid and e-Science infrastructures have begun to offer services to end-users during the past several years with an increasing number of scientific applications that require access to a wide variety of resources and services in multiple Grids. Therefore, the Grid Interoperation Now—Community Group of the Open Grid Forum—organizes and(More)
One of the problems with the wide adoption of clusters for mainstream high performance computing is the difficulty in building and managing the system. There are many efforts in solving this problem by building fu lly automated, integrated software distribution from several open source software. However, these sets of software come from many sources and(More)
This practices and experience paper describes the coordination, design, implementation, availability, and performance of the Pacific Rim Applications and Grid Middleware Assembly (PRAGMA) grid testbed. Applications in high-energy physics, genome annotation, quantum computational chemistry, wildfire simulation, and protein sequence alignment have driven the(More)
As the PC cluster becomes a popular low cost high-performance computing platform, it is hard to manage this system due to the lack of powerful resource management and monitoring tool. This paper presents our effort to mitigate this problem by developing a resource monitoring system. This system also provides a set of API in C, Java and TCL/TK that can be(More)
To develop grid scheduling algorithms, a high performance simulator is necessary since grid is an uncontrollable and unrepeatable environment. In this paper, a discrete event simulation library called HyperSim is used as extensible building blocks for grid scheduling simulator. The use of event graph model for the grid simulation are proposed. This model is(More)