Efficient tool path computation using multi-core GPUs

Tool path generation is one of the most complex problems in Computer Aided Manufacturing. Although some efficient strategies have been developed, most of them are only useful for standard machining. However, the algorithms used for tool path computation demand a higher computation performance, which makes the implementation on many existing systems very slow or even impractical. Hardware acceleration is an incremental solution that can be cleanly added to these systems while keeping everything else intact. It is completely transparent to the user. The cost is much lower and the development time is much shorter than replacing the computers by faster ones. This paper presents an optimisation that uses a specific graphic hardware approach using the power of multi-core Graphic Processing Units (GPUs) in order to improve the tool path computation. This improvement is applied on a highly accurate and robust tool path generation algorithm. The paper presents, as a case of study, a fully implemented algorithm used for turning lathe machining of shoe lasts. A comparative study will show the gain achieved in terms of total computing time. The execution time is almost two orders of magnitude faster than modern PCs.

Mr. Monis's computation about printing his Hebrew Grammar, [ca. 1734]

A one-page handwritten computation by Judah Monis for printing the Hebrew Grammar and binding it in sheep and calf skins. The document was written on one folio-sized leaf that is torn in two pieces.

Higher self-control capacity predicts lower anxiety-impaired cognition during math examinations

We assumed that self-control capacity, self-efficacy, and self-esteem would enable students to keep attentional control during tests. Therefore, we hypothesized that the three personality traits would be negatively related to anxiety-impaired cognition during math examinations. Secondary school students (N = 158) completed measures of self-control capacity, self-efficacy, and self-esteem at the beginning of the school year. Five months later, anxiety-impaired cognition during math examinations was assessed. Higher self-control capacity, but neither self-efficacy nor self-esteem, predicted lower anxiety-impaired cognition 5 months later, over and above baseline anxiety-impaired cognition. Moreover, self-control capacity was indirectly related to math grades via anxiety-impaired cognition. The findings suggest that improving self-control capacity may enable students to deal with anxiety-related problems during school tests.

Improving math and science assessment : report on the Secretary's third conference on mathematics and science education /

"PIP 94-1201"--P. [4] of cover.

Development of the DEPLOY computer math model for the investigation of various airbag and crash parameters on the out-of-position occupant. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Multiple precision computation of Legendre functions.

"C00-1469-0167."

Speeding up computation in two-dimensional iterative arrays /

"UILU-ENG 80 1720."-- Cover, p. 1.

Sociopathic knowledge bases : correct knowledge can be harmful even given unlimited computation /

"College of Engineering, UILU-ENG-89-1757."

Analog computation with random pulse sequences.

Vita.

An arithmetic unit for on-line computation /

Vita.

A study of certain factors affecting computation times in designing optimal NOR networks by the implicit enumeration method using the feed-forward formulation /

Bibliography: p. 27-29.

Scheduling and simulation of computation graphs for multiple resource computers /

"UILU Eng 79 1709."

Computation of four color irreducibility /

Vita.