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Using Source-to-Source Transformation Tools to Provide Distributed Parallel Applications from OpenMP Source Code

机译:使用源代码转换工具从OpenMP源代码提供分布式并行应用程序

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Thanks to an easy way to express parallel opportunities, OpenMP has become the reference to develop applications for shared-memory architectures. As a result, several works have tried to provide an OpenMP compiler for distributed architectures. This article presents how the Turing eXtended Language (TXL) has been interfaced with the GCC compiler to implement the Checkpointing Aided Parallel Execution (CAPE) concepts in order to provide an OpenMP compiler for distributed architectures.
机译:由于表达并行机会的简单方法,OpenMP已成为开发共享内存架构的应用程序的参考。因此,若干工程已经尝试为分布式体系结构提供OpenMP编译器。本文介绍了如何与GCC编译器接口的TING扩展语言(TXL),以实现检查点化辅助并行执行(CAPE)概念,以便为分布式体系结构提供OpenMP编译器。

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