Elias N. Houstis

Learn More
During the early 1960s, scientists began to envision problem-solving computing environments not only powerful enough to solve complex problems but also able to interact with users on human terms. While many tried to create PSEs over the next few years, by the early 1970s they had abandoned almost all of these attempts. Technology could not yet support PSEs(More)
The POEMS project is creating an environment for endto-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runtime and operating system software, and hardware architecture. To enable end-to-end modeling of large-scale applications and systems, the POEMS framework is designed to compose models(More)
18 1070-9924/97/$10.00 © 1997 IEEE IEEE COMPUTATIONAL SCIENCE & ENGINEERING This issue’s theme is the rapidly evolving enabling technology of problem-solving environments, defined as “a computer system that provides all the computational facilities necessary to solve a target class of problems” for scientific computing.1 The 19911 and 19952 workshops on(More)
The increase in the use of mobile & embedded devices, coupled with ad-hoc, short range wireless networking is enabling pervasive computing. This pervasive computing environment and the wired Grid infrastructure can be combined to make the Computation and Information Grid truly pervasive. This paper identifies some of the interesting research issues and(More)
Problem-solving e<?Pub Caret>nvironments (PSEs) interact with theuser in a language &#8220;natural&#8221; to the associated discipline,and they provide a high-level abstraction of the underlying,computationally complex model. The knowledge-based system PYTHIAaddresses the problem of (parameter, algorithm) pair selection within ascientific computing domain(More)
The article presents the software architecture and implementation of the problem-solving environment (PSE) PELLPACK for modeling physical objects described by partial differential equations (PDEs). The scope of this PSE is broad, as PELLPACK incorporates many PDE solving systems, and some of these, in turn, include several specific PDE solving methods. Its(More)
In this paper, we propose two new neuro-fuzzy schemes, one for classification and one for clustering problems. The classification scheme is based on Simpson's fuzzy min-max method (1992, 1993) and relaxes some assumptions he makes. This enables our scheme to handle mutually nonexclusive classes. The neuro-fuzzy clustering scheme is a multiresolution(More)
Often scientists need to locate appropriate software for their problems and then select from among many alternatives. We have previously proposed an approach for dealing with this task by processing performance data of the targeted software. This approach has been tested using a customized implementation referred to as PYTHIA. This experience made us(More)
scientific computing. R apid advances in high-performance computing and the growth of the Internet are heralding a paradigm shift in scientific computing toward networked environments. Scientists can now view highly specialized, distributed hardware and software as a single metacomputer that supports research on complex problems whose scope entails(More)