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Parallel I/O in Bulk-Synchronous Parallel ML

机译:散装同步平行mL的平行I / O.

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Bulk Synchronous Parallel ML or BSML is a functional data-parallel language for programming bulk synchronous parallel (BSP) algorithms. The execution time can be estimated and dead-locks and indeterminism are avoided. For large scale applications where parallel processing is helpful and where the total amount of data often exceeds the total main memory available, parallel disk I/O becomes a necessity. We present here a library of I/O features for BSML and its cost model.
机译:散装同步并行ML或BSML是用于编程批量同步并行(BSP)算法的功能数据并行语言。可以估计执行时间,避免死锁和不确定。对于平行处理有用的大规模应用程序,并且数据总量通常超过可用的总主内存,并行磁盘I / O成为必需品。我们在这里介绍一个用于BSML的I / O功能库及其成本模型。

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