Tzvetan T. Drashansky

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Ideally, a designer would change some aspect of the engine and then run a simulation to see how the change affects the performance, cost, durability , and so forth. Such a simple approach will be infeasible for the foreseeable future because the complete simulation of an engine design requires days, weeks or even years on petaflops class computing systems.(More)
Recent and anticipated technological advances in wireless computing will permit scientists and engineers to do experimental and computational modeling \anywhere" and \any time." In the SciencePad project our aim is to develop such \ubiquitous" problem solving environments (UPSE). The main objective of this paper is to address the architectural design of(More)
Problem solving using complex mathematical models of the physical phenomena requires expert knowledge in a variety of fields of computer science, such as parallel computing and numerical methods. This often makes application scientists, who have the domain expertise to devise the mathematical models, unable to use the power of High Performance Computing(More)
ii To my family. iii ACKNOWLEDGMENTS It is an honor to thank the people whose help and support were essential. My major advisor, Professor John R. Rice, introduced me to the topic and guided me thoroughly through the research. His vision, comments, suggestions, and corrections , as well as our long discussions, were at the core of the success of my work.(More)
Problem solving using complex mathematical models of the physical phenomena requires expert knowledge in a variety of elds of computer science, such as parallel computing and numerical methods. This often makes application scientists, who have the domain expertise to devise the mathematical models, unable to use the power of High Performance Computing (HPC)(More)
The National Information Infrastructure (NII) that will evolve in the 1990's and beyond will impact many institutions of life. These include the way we learn and do science, self{caring, access to civil/information infrastructure systems & services, and management & control of manufacturing processes. The future scenario for the NII assumes wireless(More)
Recent and anticipated technological advances in wireless computing will permit users to compute ubiquitously, \anywhere" and \any time." However, mobile platforms are unlikely to have the computational resources to solve even moderately complex problems that users routinely solve on static workstations today. In the SciencePad project our aim is to develop(More)