International Business Machines Corporation

Michael J Moniz

Graham A Watts

Yvon R Nonez

Claudiu D Popescu

Ying Di Zhang

Ali Ijaz Sheikh

Diana P Sutandie

Srivatsan Vijayakumar

Robert Y Nonez

Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Detection and visualization of geographic data

Embodiments of the present invention provide a method, computer program product, and system for debugging optimized code. The system includes a FAT binary, wherein the FAT binary comprises a non-optimized native code and an internal representation of a program's source code. An optimus program is configured to transform the internal representation of the program's source code into a fully optimized native code. The system also includes an enhanced loader, wherein the enhanced loader is configured to communicate with a debugger to determine a type of code to load.

Debugging optimized code using FAT binary

Techniques are described for generating geographic borders. In one example, techniques include recognizing a geographic location, determining a starting latitude and a starting longitude and population for the geographic location, and generating a border for the geographic location based on the starting latitude, starting longitude, and population.

Generating geographic borders

Debugging optimized code using fat binary

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Ottawa, Canada

Michael J Moniz