Titlebook: Accelerator Programming Using Directives; 4th International Wo Sunita Chandrasekaran,Guido Juckeland Conference proceedings 2018 Springer I

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https://doi.org/10.1007/978-3-642-84137-8achinery and other engineering simulation codes have traditionally relied upon distributed memory parallelism with MPI and have ignored thread and data parallelism. This paper presents methods for programming multi-block codes for concurrent computational on host multicore CPUs and many-core acceler

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https://doi.org/10.1007/978-3-642-84137-8rogrammers due to their complex and low-level APIs. Since managed languages like Java are designed to be run on multiple platforms, parallel language constructs and APIs such as Java 8 Parallel Stream APIs can enable high-level parallel programming with the promise of performance portability for mai

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/143657.jpg