客户端-服务器增量计算的边界

Cho-Chin Lin, Da-Wei Wang, T. Hsu
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引用次数: 6

摘要

我们讨论了在通信行为不可预测的现实假设下,为计算密集型任务从低端客户端向服务器发送输入数据项寻找支配序列的问题。在这种假设下,客户机使用指定的序列发送输入数据项,以使服务器在任一时刻执行的计算数量最大化。序列查找问题在一般情况下是np困难的。在本文中,我们讨论了两个基本和有用的应用:矩阵乘法和快速傅里叶变换。我们已经证明了应用程序的序列查找问题可以在线性时间内得到最优解决。然而,我们也展示了反例,以排除在稀疏情况下找到支配序列的任何可能性。最后通过仿真验证了所得结果的正确性和实用性。
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Bounds on the client-server incremental computing
We discuss the problem of finding a dominating sequence for sending the input data items from a low-end client to a server for computational intensive tasks under the realistic assumption of unpredictable communication behaviors. Under the assumption, the client sends the input data items using a specified sequence to maximum the number of computations performed at the server at any moment. The sequence-finding problem is NP-hard for the general case. In this paper, we address two fundamental and useful applications: matrix multiplication and fast Fourier transform. We have shown that the sequence-finding problems of the applications can be solved optimally in linear time. However, we have also shown counter examples to rule out any possibility of finding a dominating sequence for the sparse cases. Finally, a simulation is conducted to show the correctness and usefulness of our results.
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