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Time-memory-processor trade-offs

机译:时间存储器处理器的权衡

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摘要

It is demonstrated that usual time-memory trade-offs offer no asymptotic advantage over exhaustive search. Instead, trade-offs between time, memory, and parallel processing are proposed. Using this approach it is shown that most searching problems allow a trade-off between C/sub s/, the cost per solution, and C/sub m/, the cost of the machine: doubling C/sub m/ increases the solution rate by a factor of four, halving C/sub s/. The machine which achieves this has an unusual architecture, with a number of processors sharing a large memory through a sorting/switching network. The implications of cryptanalysis, the knapsack problem, and multiple encryption are discussed.
机译:事实证明,与穷举搜索相比,通常的时间记忆权衡没有提供渐近优势。相反,建议在时间,内存和并行处理之间进行权衡。使用这种方法表明,大多数搜索问题都允许在C / sub s /(每解决方案的成本)和C / sub m /(机器的成本)之间进行权衡:C / sub m /加倍会提高解决率减少四分之一,将C / sub s /减半。实现此目的的机器具有不寻常的架构,许多处理器通过分类/交换网络共享大内存。讨论了密码分析,背包问题和多重加密的含义。

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