The United States of America As Represented by the Department of Energy

Los Alamos National Security, LLC

Sarnoff Corporation

Maya B Gokhale

Kevin Peter McCabe

John P Riganati

Christophe Czeslaw Wolinski

Dongming M Cai

Janice M Stone

Fabric-based computing systems and methods are disclosed. A fabric-based computing system can include a polymorphous computing fabric that can be customized on a per application basis and a host processor in communication with said polymorphous computing fabric. The polymorphous computing fabric includes a cellular architecture that can be highly parameterized to enable a customized synthesis of fabric instances for a variety of enhanced application performances thereof. A global memory concept can also be included that provides the host processor random access to all variables and instructions associated with the polymorphous computing fabric.

Polymorphous computing fabric

A method of detecting malicious binary executable files is accomplished by inputting a binary executable file; converting the binary executable file to byte hexadecimal text strings; calculating the frequency of each byte pattern in the byte hexadecimal text strings; selecting characteristic byte pattern frequencies as discriminating features; classifying the discriminating features as malicious or benign; labeling the binary executable file as malicious or benign; and outputting the labeled malicious or benign binary executable file.

Detection of malicious computer executables

A method and system for optimizing variable locations within disparate storage elements in a target processing environment according to a least cost analysis based upon the number of times a variable is accessed by one or more program loops forming a program.

Method for determining an optimal partitioning of data among several memories

Growing community of inventors

Los Alamos, NM, United States of America

Maya B Gokhale