A distributed snooping algorithm for pixel merging

M. Cox, P. Hanrahan
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引用次数: 15

Abstract

Previous pixel-merging algorithms have required special-purpose networks, and use more network bandwidth than is necessary. We developed an algorithm that merges pixels on shared-memory bus multiprocessors, using an existing bus. Analysis and simulations suggest that it uses less bus bandwidth than other algorithms. We based our algorithm on the snooping cache-coherency protocols on which a number of shared-memory multiprocessors have been based. In these architectures, each processor keeps its cache consistent with other processors' memories by listening (snooping) on a shared bus over which memory updates are written. Snooping maintains consistent globally shared memory. This algorithm assists graphics rendering by letting processors compare pixel values and delete those pixels that do not contribute to the final image. This reduces network bandwidth requirements and eliminates the need for a special-purpose network.<>
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用于像素合并的分布式窥探算法
以前的像素合并算法需要特殊用途的网络,并且使用比必要的更多的网络带宽。我们开发了一种算法,使用现有总线合并共享内存总线多处理器上的像素。分析和仿真表明,该算法比其他算法占用更少的总线带宽。我们的算法基于窥探缓存一致性协议,许多共享内存多处理器都基于该协议。在这些体系结构中,每个处理器通过侦听(窥探)写入内存更新的共享总线来保持其缓存与其他处理器的内存一致。窥探维护一致的全局共享内存。该算法通过让处理器比较像素值并删除那些对最终图像没有贡献的像素来帮助图形渲染。这降低了对网络带宽的要求,并消除了对专用网络的需求。
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