Fragment‐Parallel Composite and Filter
Fragment‐Parallel Composite and Filter
复制标题
片段并行复合和过滤器
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
John Douglas Owens
中科院分区：
文献类型：
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作者：
Anjul Patney;Stanley Tzeng;John Douglas Owens
我们提出了一种并行化复合和过滤操作的策略，适用于在现代图形处理器上实现的与顺序无关的渲染管道。传统上，此任务在像素/子像素之间并行化，但沿各个深度层串行化。然而，我们的技术将并行化领域扩展到单个片段（样本），避免了对深度层数量的串行依赖，这可能成为具有高深度复杂性的场景的限制。因此，我们的技术随着片段的数量而扩展，并且可以在具有低和高深度复杂性的场景中维持一致和可预测的吞吐量，包括那些在单帧内深度复杂性具有高可变性的场景。我们展示了对于具有超过 1500 个半透明层的场景，复合/滤镜性能超过 50M 片段/秒。
We present a strategy for parallelizing the composite and filter operations suitable for an order‐independent rendering pipeline implemented on a modern graphics processor. Conventionally, this task is parallelized across pixels/subpixels, but serialized along individual depth layers. However, our technique extends the domain of parallelization to individual fragments (samples), avoiding a serial dependence on the number of depth layers, which can be a constraint for scenes with high depth complexity. As a result, our technique scales with the number of fragments and can sustain a consistent and predictable throughput in scenes with both low and high depth complexity, including those with a high variability of depth complexity within a single frame. We demonstrate composite/filter performance in excess of 50M fragments/sec for scenes with more than 1500 semi‐transparent layers.