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GPU-based many-core accelerators have gained a footing in supercomputing. Their widespread adoption yet hinges on better parallelization and load scheduling techniques to utilize the hybrid system of CPU and GPU cores easily and efficiently. This paper introduces a new user-friendly compiler framework and runtime system, dubbed Japonica, to help Java applications harness the full power of a heterogeneous...
Recently GPUs have risen as one important parallel platform for general purpose applications, both in HPC and cloud environments. Due to the special execution model, developing programs for GPUs is difficult even with the recent introduction of high-level languages like CUDA and OpenCL. To ease the programming efforts, some research has proposed automatically generating parallel GPU codes by complex...
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