Pythia was a Lord of Chaos. She went on a rampage through New York City to lure out Power Girl. She had defeated Weaver and stopped the Lords of Chaos from ascending to power.

In this paper, we describe the PYTHIA-II architecture and its use as an RS for PDE software. Given a problem from a known class of problems and given some performance criteria, PYTHIA-II selects the best-performing software/ma-chine pair and estimates values for the associated parameters involved.

To address this issue, we created PYTHIA-II—a modular framework and system which combines a general knowledge discovery in databases (KDD) methodology and recommender system technologies to provide advice about scientific software/hardware artifacts.

In this paper, we present the architecture and implementation of a knowledge/data base system, PYTHIA-II, that makes software recommendations based on problem specifications and computational objectives such as accuracy, cost or time, and memory requirements.

Jun 1, 2000 · To address this issue, we created PYTHIA-II—a modular framework and system which combines a general knowledge discovery in databases (KDD) methodology and recommender system...

In this paper, we present the architecture and implementation of a knowledge/data base system, PYTHIA-II, that makes software recommendations based on problem specifications and computational objectives such as accuracy, cost or time, and memory requirements.

PYTHIA-II extends the PYTHIA methodology to address the algorithm selection problem by applying various neuro-fuzzy, instance-based learning and clustering techniques.

PYTHIA-II is built as a foundational system that can evolve into a software recommender service for the entire scientiflc community by making it available as a network server.

PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software

PYTHIA-II provides all the necessary facilities to set up database schemas for testing suites and associated performance data in order to test sets of software. Moreover, it allows easy interfacing of alternative data mining and recommendation facilities.