Other

Veriscape, Inc.

Charles Wurtz

Gary Charles Berkowitz

Brian Michael Roe

Dmitry Serebrennikov

Present invention embodiments enable the handling of various index-memory architectures for a virtual supercomputer that would allow for a heterogeneous storage of variable length index words with non-sequential addressing, and also dynamic changes to the index-memory architecture. A computer-implemented system, method, and apparatus allow for different types of node index memory (NIM) architectures for the virtual supercomputer. The first type allows for homogenous NIM segments, and implementing sequential node-number addressing. A second type of architecture allows for heterogeneous IW configurations (variable length and field structure), but sill uses sequential node-number addressing. A third type allows for non-sequential node-number addressing, but still uses homogeneous IW configurations. To implement this, a new virtual hardware element is required, an Index-Word Address Table. The fourth type of architecture is a fully variable random-access architecture, whereby index-words are not sequential, nor are they identically configured. This also requires the Index-Word Address Table.

Dynamic memory management for a virtual supercomputer

The present invention is a real-time intelligent find-assistant that suggests useful search terms to a buyer shopping an electronic catalog, as they progress in their online journey to find a particular item for potential purchase. In contrast to current approaches, the present invention uses an adaptive algorithm to extract and rank-order possible search terms from candidate vendor catalog pages, based upon a measure of relevance, or utility, derived from the proximity of possible non-generic terms in the vendor catalog to the terms already selected by the user in their current search. Also in contrast to current approaches, the invention captures and stores buyers' entire history of choices over time (even years), and uses this knowledge to make increasingly useful suggestions to a buyer as to what item descriptions to look for, as they progress through their search, thus allowing an organization to leverage expert purchasing behaviors for use by novice buyers.

Adaptive e-procurement find assistant using algorithmic intelligence and organic knowledge capture

The virtual supercomputer is an apparatus, system and method for generating information processing solutions to complex and/or high-demand/high-performance computing problems, without the need for costly, dedicated hardware supercomputers, and in a manner far more efficient than simple grid or multiprocessor network approaches. The virtual supercomputer consists of a reconfigurable virtual hardware processor, an associated operating system, and a set of operations and procedures that allow the architecture of the system to be easily tailored and adapted to specific problems or classes of problems in a way that such tailored solutions will perform on a variety of hardware architectures, while retaining the benefits of a tailored solution that is designed to exploit the specific and often changing information processing features and demands of the problem at hand.

Virtual supercomputer

A flexible, intelligent electronic procurement method and system that emulates and learns from the adaptive behavior of a user trying to find a product in an electronic catalog. In contrast to existing methods and systems, the invention allows for searching heterogeneous catalogs in virtually any format, and does not require pre-defined hierarchies, nor the pre-loading of vendor catalog contents, nor the scrubbing of vendor data. It does not impose fixed structures on the user, it does not require the user to start 'from scratch' when looking for a new item, and it does not force the user to think like someone else. Instead, the invention allows the user to choose his own way to navigate catalogs of items, and then, by remembering successful search scenarios, and storing that knowledge in a dynamic, growing database (or 'forest') of collected search paths, or &#x2018;find-trees&#x2019;, the invention grows and improves, that is, it evolves organically over time. As the collection of find-trees can be accessed by other users, the utility of the invention increases over time once implemented in a given environment. Further, the invention is able to do this in a time- and space-efficient manner (that is, without the forest growing too tangled, dense or large) not only because of its method and architecture, but also through the use of autonomous background processes that continually prune and update the tree structures for optimum storage and navigation.

Growing community of inventors

Los Alamos, NM, United States of America

Charles Wurtz