Tzvetan T. Drashansky

Learn 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)
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)
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)
In tllis paper we present a paradigm for simulaling complex phenomena which may involve multiple physical pllcnomena and complicated geometry. The computational structure is of cooperating agents and much of the proposed methodology is widely applicable, but the focus in tItis paper is on phenomena modeled by partial differential equations (PDE). The(More)
Problem Solvillg Environments (PSEs) are vef)' high level software e/lVironmems that provide all the facilities for dealing with some class of problems. It is clear that building PSEs is a costly endeavor bOll! ill tenlls of the persOII-years required and the diversity of knowledge alld expertise required. This paper is about the Pllnllle PSE Kemel (PPK), a(More)
In this paper we describe a new approach to the pure functional programming which is based on the use of a local area network and external files. This approach essentially increases the efficiency and the field of the possible application of the functional programs. Our concepts are implemented in the framework of a FP-like functional language named FP*(More)
  • 1