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Two-dimensional modeling of long-term transients in inductively coupled plasmas using moderate computational parallelism. I. Ar pulsed plasmas

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JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A-VACUUM SURFACES AND FILMS 2002年第2期20卷 313-324页

作者： Subramonium, P Kushner, MJ Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA Univ Illinois Dept Chem Engn Urbana IL 61801 USA

Quantifying transient phenomena such as pulsed operation is important for optimizing plasma materials processing. These long-term phenomena are difficult to resolve in multidimensional plasma equipment models due to the large computational burden. Hybrid models, which sequentially execute modules addressing different phenomena, may not be adequate to resolve the physics of transients due to their inherent iterative nature. In this article, a different modeling approach is described in which a moderately parallel implementation of a two-dimensional plasma equipment model is used to investigate long-term transients. The computational algorithms are validated by comparing the plasma properties for sequential and parallel execution for a steady state case. The physics model is validated by comparison to experiments. Results from the model were used to investigate the transient behavior of pulsed inductively coupled plasmas sustained in An The consequences of varying pulse repetition frequency, duty cycle, power, and pressure on plasma properties are quantified. We found that the electron density, temperature, and source function, and plasma potential, peak beneath the coils during avalanche at the beginning of a pulse, finally attaining a diffusion dominated profile with a small off axis peak. As the pulse repetition frequency decreases, a more pronounced local maximum in plasma potential and electron temperature occurs. (C) 2002 American Vacuum Society.

关键词： .long-term moderate steady state avalanche beneath plasma potential electron temperature coils duty Pulsed plasmas plasma properties parallel implementation computational parallelism execute pulse repetition

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A Pipeline VLSI Architecture for Fast Computation of the 2-D Discrete Wavelet Transform

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2012年第8期59卷 1775-1785页

作者： Zhang, Chengjun Wang, Chunyan Ahmad, M. Omair Concordia Univ Dept Elect & Comp Engn Ctr Signal Proc & Commun Montreal PQ H3G 1M8 Canada

In this paper, a scheme for the design of a high-speed pipeline VLSI architecture for the computation of the 2-D discrete wavelet transform (DWT) is proposed. The main focus in the development of the architecture is on providing a high operating frequency and a small number of clock cycles along with an efficient hardware utilization by maximizing the inter-stage and intra-stage computational parallelism for the pipeline. The inter-stage parallelism is enhanced by optimally mapping the computational task of multi decomposition levels to the stages of the pipeline and synchronizing their operations. The intra-stage parallelism is enhanced by dividing the 2-D filtering operation into four subtasks that can be performed independently in parallel and minimizing the delay of the critical path of bit-wise adder networks for performing the filtering operation. To validate the proposed scheme, a circuit is designed, simulated, and implemented in FPGA for the 2-D DWT computation. The results of the implementation show that the circuit is capable of operating with a maximum clock frequency of 134MHz and processing 1022 frames of size 512 512 per second with this operating frequency. It is shown that the performance in terms of the processing speed of the architecture designed based on the proposed scheme is superior to those of the architectures designed using other existing schemes, and it has similar or lower hardware consumption.

关键词： computational parallelism discrete wavelet transform FPGA implementation image processing multi-resolution filtering non-separable approach parallel architecture pipeline architecture real-time processing VLSI architecture

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Sorting-based calculation of zeroes and extrema of functions as applied to search and recognition

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Cybernetics and Systems Analysis 2001年第4期37卷 581-595页

作者： Romm, Y.E. State Pedagogical Institute Taganrog Ukraine

A stable address sorting is used for approximate calculation of zeroes and extrema of functions of one variable and two variables. In particular, the paper gives a new method for localization and approximate calculation of all the roots of a polynomial with arbitrary power. The method includes poorly separated roots, and its distinctive features are the computational stability and the maximum parallelism. ©2001 Plenum Publishing Corporation.

关键词： Address sorting computational parallelism Search and recognition Zeroes and extrema of functions

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Virtualizing a Cluster to Optimize the Problems of High Scientific Complexity within an Organization

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年第6期10卷 618-622页

作者： Lee Huamani, Enrique Condori, Patricia Roman-Gonzalez, Avid Univ Ciencias & Humanidades Image Proc Res Lab INTI Lab Lima Peru

The Image Processing Research Laboratory (INTI-Lab) of the Universidad de Ciencias y Humanidades has several research projects related to computer science needing high computational resources. Some of these projects are associated with climate prediction, molecule modeling, physical simulations, and others these applications generate a significant amount of data, regarding the big data issue, despite having excellent hardware features, the final result is obtained after hours or days of calculation depending on the algorithm complexity. For this reason, it is not possible to present optimal solutions at an ideal time. .In this work, we propose the virtualization and configuration of a high-performance cluster (HPC) known commercially as a "supercomputer" that is composed of several computers connected to a high-speed network to behave like a single computer. The virtualization is used to run a scientific algorithm that will apply performance tests using four virtual computers to demonstrate that the reduction of time is achieved by using more machines and thus be able to be implemented in the laboratories of the institution.

关键词： High-performance cluster distributed programming computational parallelism supercomputer high-efficiency computing

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Implementation of a Beowulf Cluster and Analysis of its Performance in Applications with Parallel Programming

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年第8期10卷 522-527页

作者： Lee Huamani, Enrique Condori, Patricia Roman-Gonzalez, Avid Univ Ciencias & Humanidades Image Proc Res Lab INTI Lab Lima Peru

In the Image Processing Research Laboratory (INTI-Lab) of the Universidad de Ciencias y Humanidades, the permission to use the embedded systems laboratory was obtained. INTI-Lab researchers will use this laboratory to do different research related to the processing of large scale videos, climate predictions, climate change research, physical simulations, among others. This type of projects, demand a high complexity in their processes, carried out in ordinary computers that result in an unfavorable time for the researcher. For this reason, one opted for the implementation of a high-performance cluster architecture that is a set of computers interconnected to a local network. This set of computers tries to give a unique behavior to solve complex problems using parallel computing techniques. The intention is to reduce the time directly proportional to the number of machines, giving a similarity of having a low-cost supercomputer. Different performance tests were performed scaling from 1 to 28 computers to measure time reduction. The results will show if it is feasible to use the architecture in future projects that demand processes of high scientific complexity.

关键词： High-performance cluster distributed programming computational parallelism Beowulf cluster high-efficiency computing

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Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年第11期10卷 407-411页

作者： Lee Huamani, Enrique Condori, Patricia Meneses-Claudio, Brian Roman-Gonzalez, Avid Univ Ciencias & Humanidades Image Proc Res Lab INTI Lab Lima Peru

Now-a-days, photorealistic images are demanded for the realization of scientific models, so we use rendering tools that convert three-dimensional models into highly realistic images. The problem of generating photorealistic images occurs when the three-dimensional model becomes larger and more complex, so the time to generate an image is much greater due to the limitations of hardware resources, about this problem is implemented the render farm, which consists in a set of computers interconnected by a high-speed network that provides a strip of the global image distributed in each participating computers with the intention of reducing the processing time of highly complex computational images. The research was implemented in a high-performance Beowulf group of the Universidad de Ciencias y Humanidades using a total of 18 computers. To demonstrate the efficiency of a rendering farm implementation, scalability tests were performed using a 360 degrees equirrectangular model with a total of 67 million pixels, the work is carried out to achieve highly complex renderings in less time to benefit the direction of the research.

关键词： Distributed programming computational parallelism Beowulf cluster high-efficiency computing render farm

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