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引用次数: 11

摘要

算法的执行受到植根于信号传播速度有限的物理约束的限制。为了优化计算引擎提供的物理自由度的使用,必须将所有相关的技术和物理约束应用于计算过程的时间和空间结构。计算时空明确了技术和物理约束,并通过明确的物理复杂性度量促进了并行算法相对效率的推理。与闵可夫斯基时空是物理事件的世界模型类似,计算时空是计算事件的世界模型。算法以空间单赋值形式指定,这使得所有赋值都是空间显式的。计算时空和空间单赋值形式为细粒度并行算法的设计、分析和执行提供了框架。
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Computational spacetimes
The execution of an algorithm is limited by physical constraints rooted in the finite speed of signal propagation. To optimize the usage of the physical degrees of freedom provided by a computational engine, one must apply all relevant technological and physical constraints to the temporal and spatial structure of a computational procedure. Computational spacetimes make explicit both technological and physical constraints, and facilitate reasoning about the relative efficiency of parallel algorithms through explicit physical complexity measures. Similar to Minkowski spacetime being the world model for physical events, computational spacetimes are the world model for computational events. Algorithms are specified in a spatial single-assignment form, which makes all assignments spatially explicit. The computational spacetime and the spatial single-assignment form provide the framework for the design, analysis and execution of fine-grain parallel algorithms.<>
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