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Much of Flash Player s early success is attributable to its ability to render vector graphics well Vector graphics have the advantage of being highly compressible and retaining quality when they are scaled up This quality, however, comes at a high cost to the CPU, because you must rasterize them, or turn them into pixels, to draw them on the screen If you compare drawing a bitmap and a vector graphic at their native size and orientation, the bitmap will win in speed, excepting perhaps simple shapes The computational expense incurred by rasterizing vector graphics doesn t invalidate their other advantages, however Flash Player attempts to give you the best of both worlds with an optimization.

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When you ag a display object to use bitmap caching by setting its cacheAsBitmap property to true Flash Player rasterizes it, including any vectors it may contain, and saves the rasterized bitmap in memory for the next time it needs to draw the display object The next time, instead of rasterizing the whole thing again, Flash Player can use the cached version, skipping the rasterization Now, this sounds good and dandy, but there are a number of caveats that boil down to the fact that bitmap caching is only desirable in certain cases, so for the love of all that is good, don t go turning on cacheAsBitmap on every DisplayObject you see To wit, The cached bitmap must be rasterized afresh any time the display object changes If this is every frame, bitmap caching actually hurts you.

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The cached bitmap must be rasterized afresh any time the display object is scaled or rotated Simply scaling or rotating the bitmap won t always produce an image comparable in quality to the vectors rasterized at the new scale and rotation, so Flash Player chooses quality and invalidates the cached bitmap Simply moving the display object is ne The cached bitmap must live in memory, so using it increases your memory requirements Keep an eye on this Flash Player s bitmap caching only helps if you have large or complex vectors that don t change internally, scale, or rotate In other cases, using a bitmap representation may still speed up performance a terri c amount, but you have to provide your own bitmap caching method rather than use cacheAsBitmap A number of operations automatically generate intermediate bitmaps of your display objects All lters operate on bitmaps.

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3D operations in Flash Player 10 and later use a rasterized version of the display object as a 2D texture And the BlendModeLAYER blend mode attens the entire display object into a bitmap before compositing it Use this blend mode when, for example, fading out an entire tree of display objects at once Instead of applying the inherited alpha value down the display lists, it renders the display object down to a bitmap and applies the alpha value to that instead One last word on vectors: gradient lls are slow, and imported artwork may be more complex than necessary Try optimizing the shapes in Flash Professional or a vector art package..

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While you re just getting started with the display list, don t waste time thinking about how to optimize your graphics. Save that for your rst high-performance web site or game. Once you re ready to do serious graphics coding, you ll nd a lot of useful information in Part VIII, Graphics Programming and Animation.

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18. D. Ganesan, A. Cerpa, Y. Yu, W. Ye, J. Zhao, and D. Estrin. Networking issues in wireless sensor networks. Journal of Parallel and Distributed Computing (JPDC),64(7):799-814, July 2004. 19. D. Gay, P. Levis, R. von Behren, M.Welsh, E. Brewer, and D. Culler. The nesC language: A holistic approach to networked embedded systems. In Proceedings of Programming Language Design and Implementation (PLDI), 2003. 20. D. Gelernter. Generative communication in Linda. ACM Transactions on Programming Languages and Systems, 7(1):8&112, 1985. 2 1. The Generic Modeling Environment, http://www.isis.vanderbilt.edu/projects/gme. 22. R. Govindan. Datacentric routing and storage in sensor networks. In Wireless Sensor Networks, T. Znati, K.Sivalingam, and C. s. Raghavendra, editors, Kluwer Academic Publishers, Boston, 2004. 23. R. Gummadi, 0.Gnawali, and R. Govindan. Macro-programming wireless sensor networks using kairos. In International Conferenceon Distributed Computing in Sensor Systems (DCOSS),June 2005. 24. D. Hare1 and A. Pnueli. On the development of reactive systems. In K. R. Apt (editor), Logics and Models of Concurrent Systems, vol. F-13 of NATO AS1 Series, pages 477498, Springer-Verlag, New York, 1985. . 25. S. Haridi, P Van Roy, P. Brand, and C. Schulte. Programming languages for distributed applications. New Generation Computing, 16(3):223-261, 1998. A. 26. W. B. Heinzelman, A. L. Murphy, H. S. Carvalho, and M. Perillo. Middleware to support sensor network applications. IEEE Network, January 2004.

Summary

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