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- W2041770003 abstract "High-level languages such as Java increase both productivity and portability with productive language features such as managed runtime, type safety, and precise exception semantics. Additionally, Java 8 provides parallel stream APIs with lambda expressions to facilitate parallel programming for mainstream users of multi-core CPUs and many-core GPUs. These high-level APIs avoid the complexity of writing natively running parallel programs with OpenMP and CUDA/OpenCL through Java Native Interface (JNI). The adoption of such high-level programming models offers opportunities for enabling compilers to perform parallel-aware optimizations and code generation." @default.
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- W2041770003 date "2015-09-08" @default.
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- W2041770003 title "Machine-Learning-based Performance Heuristics for Runtime CPU/GPU Selection" @default.
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- W2041770003 doi "https://doi.org/10.1145/2807426.2807429" @default.
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