Computing science is based on a computing paradigm that is not valid anymore for today's technological conditions. The reason is that the transmission time even inside the processor chip, but especially between the components of the system, is not negligible anymore. The paper introduces a quantitative measure for dispersion, which is vital for both computing performance and energy consumption, and demonstrates how its value increased with the changing technology. The temporal behavior (including the dispersion of the commonly used synchronization clock time) of computing components has a critical impact on the system's performance at all levels, as demonstrated from gate-level operation to supercomputing. The same effect limits the utility of the researched new materials/effects if the related transfer time cannot be proportionally mitigated. von Neumann's model is perfect, but now it is used outside of its range of validity. The correct procedure to consider the transfer time for the present technological background is also derived.

中文翻译：

---

冯诺依曼遗漏的“第二稿”：它应该包含什么

计算科学基于一种在当今技术条件下不再有效的计算范式。原因是即使在处理器芯片内部，尤其是系统组件之间的传输时间也不再可以忽略不计。本文介绍了对计算性能和能源消耗都至关重要的离散度的定量测量，并展示了其价值如何随着技术的变化而增加。从门级操作到超级计算，计算组件的时间行为（包括常用同步时钟时间的分散）对系统各个级别的性能都有关键影响。如果相关的转移时间不能成比例地减少，则相同的效果会限制所研究的新材料/效果的效用。冯诺依曼的模型是完美的，但现在它的使用超出了其有效性范围。还导出了考虑当前技术背景的转移时间的正确程序。