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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) È®ÀåÇü º¥Ä¡¸¶Å© ÀÚµ¿È­ µµ±¸¸¦ ÀÌ¿ëÇÑ °í¼º´ÉÄÄÇ»ÆýýºÅÛ ¼º´É Æò°¡
¿µ¹®Á¦¸ñ(English Title) Evaluation of High-Performance Computing Systems Using a Scalable Benchmark Automation Tool
ÀúÀÚ(Author) ³ë½Â¿ì   ¹Ú±Ùö   ÃÖÁöÀº   ¹ÚÂù¿­   Seungwoo Rho   Geunchul Park   Ji Eun Choi   Chan-Yeol Park  
¿ø¹®¼ö·Ïó(Citation) VOL 26 NO. 02 PP. 0081 ~ 0088 (2020. 02)
Çѱ۳»¿ë
(Korean Abstract)
º» ³í¹®¿¡¼­´Â ¸Å´ÏÄÚ¾î ½Ã½ºÅÛÀÎ ³ªÀÌÃ÷·£µùÀ» Áß½ÉÀ¸·Î ÁÖ¿ä °í¼º´ÉÄÄÇ»ÆýýºÅÛµéÀÇ º¥Ä¡¸¶Å© ¼º´ÉÀ» ºñ±³ÇÏ°í ºÐ¼®ÇÑ´Ù. °í¼º´É½Ã½ºÅÛµéÀÇ ¼º´ÉÀ» È¿À²ÀûÀ¸·Î ÃøÁ¤ÇÏ°í ºñ±³Çϱâ À§ÇØ °³¹ßÇÑ È®ÀåÇü º¥Ä¡¸¶Å© ÀÚµ¿È­ µµ±¸´Â ¸Þ¸ð¸® ´ë¿ªÆø ¼º´É ÃøÁ¤À» À§ÇÑ STREAM, CPU ºÎµ¿¼Ò¼öÁ¡ ¼º´É ÃøÁ¤À» À§ÇÑ HPL, ½Ã½ºÅÛ ÅëÇÕ ¼º´É ÃøÁ¤À» À§ÇÑ HPCG¸¦ Áö¿øÇϸç, ÀÔ·Â º¯¼öÀÇ Parameter Sweep ±â´É ¹× Ç÷¯±×ÀÎ Çü½ÄÀÇ º¥Ä¡¸¶Å© Ãß°¡·Î ¼Õ½±°Ô È®Àå µÉ ¼ö ÀÖ´Ù. STREAM ½ÇÇè¿¡¼­´Â KNLÀÇ ºÒ¾ÈÁ¤ÇÑ Ä³½Ã¼º´ÉÀÇ Æ¯Â¡°ú °í¼º´É ¸Þ¸ð¸®¿¡¼­ ÀÔ·Â µ¥ÀÌÅÍÀÇ ¿ÀÂ÷ Å©±â°¡ Ä¿Áü¿¡ µû¶ó ¼º´ÉÀÌ °¨¼ÒµÇ´Â Çö»óÀ» È®ÀÎÇÏ¿´°í, HPL ½ÇÇè¿¡¼­´Â ¸Å´ÏÄÚ¾î ȯ°æ¿¡¼­ ¼Ò½º ÃÖÀûÈ­¿¡ µû¸¥ °í¼º´É ¸Þ¸ð¸® ¼º´É ¿µÇâÀ» È®ÀÎÇÏ¿´´Ù. ¸¶Áö¸·À¸·Î HPCG ½ÇÇè¿¡¼­´Â MPI ÇÁ·Î¼¼½º ¹× °øÀ¯ ½º·¹µå ¼öÀÇ Á¶ÇÕ¿¡ µû¸¥ Å« ¼º´ÉÂ÷ÀÌ¿Í ÃÖÀû ¼º´É Á¶ÇÕÀ» È®ÀÎÇÏ¿´´Ù
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(English Abstract)
In this paper, we evaluate and analyze the major benchmark performance of various high-performance computing systems around Knights Landing, a many-core system of Intel. Developed to efficiently measure and compare the performance of high-performance systems, the scalable benchmark automation tool supports STREAM for performance measurement of memory bandwidth, HPL for performance measurement of CPU floating-point, and HPCG for performance measurement of system integration. It can also be easily extended with the parameter sweep function of input variables and the addition of benchmarks in the form of plug-ins. In the STREAM experiments, we found KNL's unstable cache characteristic and the performance declined significantly in high-bandwidth memory. HPL experiments show the effect of high-performance memory on source optimization in the many-core environment. Finally, in the HPCG experiment, setting the optimal combination was very important because the performance difference of each system was large according to the combination of MPI processes and the number of shared threads.
Å°¿öµå(Keyword) º¥Ä¡¸¶Å©   °í¼º´ÉÄÄÇ»ÆýýºÅÛ   ¼º´É Æò°¡   ¸Å´ÏÄھ °í¼º´É ¸Þ¸ð¸®   benchmark   high-bandwidth memory   high-performance computing system   performance evaluation   many-core  
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