Search : [ keyword: KNL ] (2)

A Study on Parallel Optimization of Regional Ocean Model Using KISTI 5th Supercomputer Nurion System

Dong-Hoon Kim, Chaewook Lim, Min-Su Joh, Jooneun An, Il-Ju Moon, Seung-Buhm Woo

http://doi.org/10.5626/JOK.2020.47.1.1

A parrallel optimiztion of the Regional Ocean Modeling system (ROMS) was conducted by analyzing the computational characteristics of the Knights Landing (KNL) system of Nurion, which is the fifth supercomputer at the Korea Institute of Science and Technology Information (KISTI). Although the KNL system comprises more than twice as many cores per node as the Skylake system, the performance of the KNL system is known to be about three times slower than that of Skylake system, when using the same number of cores. However, the KNL performance optimized for the ROMS model in Nurion is only about twice that of the Skylake system suggesting that the KNL system of Nurion is approximately 1.3-fold faster than the normal KNL system. In this study, two types of numerical experiments (ideal & real cases) were conducted to compare the computational capabilities of the KNL and SKL systems; The KNL system has more computational efficiency. The KNL system shows continuous improvement in performance even in maximum core experiments under both ideal and real case simulation, which is an advantage for the simulation of super parallel numerical calculation.

Enhancing the Performance of Multiple Parallel Applications using Heterogeneous Memory on the Intel"s Next-Generation Many-core Processor

Seungwoo Rho, Seoyoung Kim, Dukyun Nam, Geunchul Park, Jik-Soo Kim

http://doi.org/10.5626/JOK.2017.44.9.878

This paper discusses performance bottlenecks that may occur when executing high-performance computing MPI applications in the Intel’s next generation many-core processor called Knights Landing(KNL), as well as effective resource allocation techniques to solve this problem. KNL is composed of a host processor to enable self-booting in addition to an existing accelerator consisting of a many-core processor, and it was released with a new type of on-package memory with improved bandwidth on top of existing DDR4 based memory. We empirically verified an improvement of the execution performance of multiple MPI applications and the overall system utilization ratio by studying a resource allocation method optimized for such new many-core processor architectures.


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