Memory forensics uses volatile digital artifacts as evidence about criminal activities. Analyzing captured memory dumps for volatile data requires time and effort. This paper studies the utilization of parallel progra...
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parallel Computing on a network of workstations (NOW) is receiving a lot of attention from the research community. However, there is still a lack of tools for developing and running parallel applications on a NOW envi...
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Java may be a natural language for portable parallel programming. We discuss the basis of this claim in general terms, then illustrate the use of Java for message-passing and data-parallel programming through series o...
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Aiming at improving the design and assembly efficiency of complex products in collaborative design, this paper proposes a parallel assembly model which is based on parallel computing. It divides assembly task into sub...
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Most HPC systems are clusters of shared memory nodes. parallel programming must combine the distributed memory paralleliza-tion on the node inter-connect with the shared memory parallelization inside of each node. Thi...
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Presents a portable parallel programming environment for Modula-2∗, an explicitly parallel machine-independent extension of Modula-2. Modula-2∗ offers synchronous and asynchronous parallelism, a global single address ...
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This paper describes the management of heterogeneity in Stardust, an environment for parallel programming above networks of heterogeneous machines, which can include distributed memory multicomputers and networks of w...
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In this paper, fault-tolerant feature of TOPAS parallel programming environment for distributed systems is presented. TOPAS automatically analyzes data dependence among tasks and synchronizes data, which reduces the t...
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Many thread packages are freely available on the Internet. Yet, most parallel language design groups seem to have rejected all existing packages and implemented their own. This is unsurprising. Existing thread package...
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Driven by the ever-growing demand for computing power, computers are becoming more and more powerful. However, in recent years, due to the physical limitations, this increased computing power does not come in the form...
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Driven by the ever-growing demand for computing power, computers are becoming more and more powerful. However, in recent years, due to the physical limitations, this increased computing power does not come in the form of increased CPU clock speed, but in the form of more cores (processors) in a single chip die. Computer industry has started to use this new multi-core technology to massively produce systems for both stand-alone desktop PCs and high-end servers. In the near future, multi-core cluster will become one of the most economic supercomputer architectures. In order to utilize the full power of multi-core systems, some kind of parallel computing is necessary. However, parallel programming is notoriously known as a challenge job. This paper analyzes different parallel programming models, compares their strengths and weaknesses on multi-core based systems, and introduces an on-going project on providing a better parallel programming environment based on a novel View-Oriented parallel programming (VOPP) model. Copyright is held by the author/owner(s).
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