朝着自动优化PySke程序

2019 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2019-07-01 DOI:10.1109/HPCS48598.2019.9188160

Jolan Philippe, F. Loulergue

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引用次数: 0

摘要

针对共享和分布式内存架构的显式并行编程是处理数据密集型计算的有效方法。然而，对于大多数程序员来说，显式线程或MPI等方法仍然是困难的解决方案。实际上，它们必须面对不同的约束，例如显式的处理器间通信或数据分发。

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Towards Automatically Optimizing PySke Programs

Explicit parallel programming for shared and distributed memory architectures is an efficient way to deal with data intensive computations. However approaches such as explicit threads or MPI remain difficult solutions for most programmers. Indeed they have to face different constraints such as explicit inter-processors communications or data distribution.

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2019 International Conference on High Performance Computing & Simulation (HPCS)

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