Computing hardware has changed from a single core to a multi-core environment, and programming technique have also shifted from a single thread to multi-threaded model. In a multicore environment where resources are limited, time sharing makes multiple application running simultaneously by using resource efficiently. However, in manycore systems, time sharing technique generates kernel noise and it results in a performance degradation. To solve this problem, this paper proposes a space sharing scheme suitable for manycore systems. Space sharing scheme consists of one core-one thread and one core-one memory, ensuring that threads executed without competing kernel resources. Through experiments, we confirmed that space sharing provides scalability compared to time sharing and reduce kernel noise. In addition, we confirmed its performance through a simple HPC application; Edge-detection. We discover that space sharing can create resource waste for I/O intensive applications, which is rather a performance degradation. This problem should be solved through I/O acceleration later.
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J. Kim et. al, "Trends in Lightweight Kernel for Many core Based High-Performance Computing", Electronics and Telecommunications Trends. Vol. 32, No. 4, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
J. Sim et.al, “the Fourth Industrial Revolution and ICT – IDX Strategy for leading the Fourth Industrial Revolution”, ETRI Insight, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
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