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Dr. Issam Damaj Contributes to SIAM Conference

Dr. Issam Damaj

Dr. Issam Damaj, Assistant Professor of Electrical and Computer Engineering, with his collaborators from Lebanese American University (Dr. Ramzi Harati and Miss Safaa Kasbah), published a paper, under the affiliation of Dhofar University, in the SIAM Conference on Computational Science and Engineering (CS&E), Costa Mesa, California, USA, 19 – 23 February, 2007. The paper is entitled “Accurate High-Performance Multigrid Solvers in Reconfigurable Hardware”. The published paper comes as an outcome of the collaborative research project on “High-Speed Hardware Systems for Computationally Intensive Applications”. This project has been running since 2004 with collaborators from the Lebanese American University and Hariri Canadian University in Lebanon. Technically, this paper presents an accurate high-speed hardware implementation of the V-cycle Multi-grid method for finding the solution of a 2D-Poisson equation. Various hardware design, analysis and testing tools have been used including Handel-C a modern high-level hardware compiler.

The targeted CS&E conference draws the attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet large-scale challenges, and to encourage the training of the next generation of computational scientists. The motivation behind holding this international meeting is that Computational Science and Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third mode of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For government agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. Finally, in many new areas such as medicine, the life sciences, management and marketing (e.g. data- and stream mining), and finance techniques and algorithms from CS&E are of growing importance. CS&E is by nature interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful algorithms. Much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The conference was funded by SIAM and supported by the National Science Foundation in the USA.

 

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