Method for implementing optimization of graph function applied in embedded development platform

Abstract

The invention relates to the embedded software development graphics function field, and the optimization realization method for the embedded development platform graphics function. The method includes the following steps: (a) judging the selection of draw-line function: firstly calculating the distance between the abscissa and ordinate of point A and point B, and judging whether point A and point B within the rectangular; (2) judging the size of the abscissa of point A and point B, and analyzing the different results; (3) judging the size of the ordinate of point A and point B, and analyzing the different results; (4) judging the size of the abscissa and ordinate of point A, and analyzing the different results; (5) according to the coordinates location feedback value to judge, and using draw-line function to complete drawing. The method assures the cycle invariance during jumping, improving shooting rate; the realization of draw-line operation is more efficient than before optimization, eliminating a lot of cycling and jumping; since the average distribution of draw-line operations, it offsets the additional system consumption by two-level judgments.

Description

technical field [0001] The invention relates to the field of embedded software development graphic functions, more specifically, relates to an optimized realization method applied to embedded development platform graphic functions. Background technique [0002] At present, the drawing methods in the graphics function of the embedded development platform are mainly: [0003] QGfxRaster provides Qt with basic drawing functions, and is the parent of all drawing function classes. All drawing events will eventually lead to a QGfxRaster function call [2], these functions include drawText, drawPointUnclipped, drawPoint, drawLine, vline, drawThickPolyline, hline, hlineUnclipped, hImageLineUnclipped, hAlphaLineUnclipped, fillRect, drawPolyLine, drawPolygon, scroll, blt, stretchBlt, tiledBlt, etc. [0004] Qtopia performs well on the PC platform, but Qtopia's performance on the Intel XScale PXA 255 is not so good. After experimenting, the entire Qtopia startup took about 28 seconds....

AI Technical Summary

Problems solved by technology

That is, before the modification, A, B, and C are all executed by about 1 / 3. In this case, A, B, and C still need a lot of judgment when executing, which wastes a lot of time and is not efficient

At the same time, because the judgment of the three situations is irregular, the hit rate of Cache and TLB is relatively low

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