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ÇѱÛÁ¦¸ñ(Korean Title) |
´ë¿ë·® À¯Àüü ºÐ¼®À» À§ÇÑ °í¼º´É ÄÄÇ»Æà ½Ã½ºÅÛ MAHA |
¿µ¹®Á¦¸ñ(English Title) |
Design of MAHA Supercomputing System for Human Genome Analysis |
ÀúÀÚ(Author) |
±è¿µ¿ì
±èÈ«¿¬
¹è½ÂÁ¶
±èÇпµ
¿ì¿µÃá
¹Ú¼öÁØ
ÃÖ¿Ï
Young Woo Kim
Hong-Yeon Kim
Seungjo Bae
Hag-Young Kim
Young-Choon Woo
Soo-Jun Park
Wan Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 02 NO. 02 PP. 0081 ~ 0090 (2013. 02) |
Çѱ۳»¿ë (Korean Abstract) |
Áö³ 10¿©³â µ¿¾È ÄÄÇ»Æà ºÐ¾ß´Â ´Ù¾çÇÑ ¿¬±¸¿Í º¯È¸¦ ÅëÇÏ¿© ´«ºÎ½Å ¹ßÀüÀ» ÀÌ·ç¾î¿À°í ÀÖ´Ù. ¹ÝµµÃ¼ ±â¼úÀÇ ¹ßÀüÀº ÇÁ·Î¼¼¼ ¹× ½Ã½ºÅÛ ¾ÆÅ°ÅØó, ÇÁ·Î±×·¡¹Ö ȯ°æ µî¿¡ »õ·Î¿î Æз¯´ÙÀÓÀÇ º¯È¸¦ ¾ß±âÇÏ°í ÀÖ´Ù. ƯÈ÷ °í¼º´ÉÄÄÇ»ÆÃ(HPC)ºÐ¾ß´Â ÷´Ü ±â¼úÀÌ ÁýÀûµÈ ºÐ¾ß·Î½á, Çѱ¹°¡ÀÇ °æÀï·ÂÀ¸·Î °£Áֵǰí ÀÖ´Ù. 2000³â´ë ÈĹݺÎÅÍ ¼±Áø ±¹°¡µéÀº ExascaleÀÇ. ½´ÆÛÄÄÇ»Æà ±â¼úÀÇ °³¹ß¿¡ ¹ÚÂ÷¸¦ °¡ÇÏ°í ÀÖÀ¸³ª, Çѱ¹ÀÇ °æ¿ì ICT ºÐ¾ß¿¡ ÁýÁßÇÏ¿© °ü·Ã Çٽɱâ¼úÀÇ È®º¸°¡ ½Ã±ÞÇÑ »óȲÀÌ´Ù. º» ³í¹®¿¡¼´Â ½´ÆÛÄÄÇ»Æà ±â¼úÀ» È®º¸ÇÏ°í ´ë±Ô¸ð À¯Àüü ºÐ¼® ¹× ´Ü¹éÁú±¸Á¶ ºÐ¼®À» À§ÇÑ °í¼º´É ÄÄÇ»Æà ½Ã½ºÅÛÀÎ MAHA ½´ÆÛÄÄÇ»Æà ½Ã½ºÅÛÀÇ ¾ÆÅ°ÅØÃĸ¦ Á¦½ÃÇÏ°í ¼³°è ¹× ±¸Çö¿¡ °üÇÏ¿© ¼¼úÇÑ´Ù. MAHA ½´ÆÛÄÄÇ»Æà ½Ã½ºÅÛÀº ÄÄÇ»Æà Çϵå¿þ¾î, ÆÄÀÏ ½Ã½ºÅÛ, ½Ã½ºÅÛ ¼ÒÇÁÆ®¿þ¾î ¹× ¹ÙÀÌ¿À ÀÀ¿ëÀ¸·Î ±¸¼ºµÇ¸ç, ¼º´É/$, ¼º´É/¸éÀû ¹× ¼º´É/Àü·ÂÀ» Çâ»ó½ÃÅ°±â À§ÇÑ ÀÌÁ¾ ¸Å´ÏÄÚ¾î ¿¬»êÀåÄ¡¿¡ ±â¹Ý ÇÑ °í¼º´É ÄÄÇ»Æà ±¸Á¶¸¦ ¼³°èÇÏ¿´´Ù. ´ë±Ô¸ð µ¥ÀÌÅÍ¿¡ ´ëÇÑ ºü¸¥ 󸮸¦ À§ÇÏ¿© SSD ¹× MAID½Ã½ºÅÛ¿¡
±â¹Ý ÇÑ °í¼º´É ÀúÀü·Â ÆÄÀϽýºÅÛ°ú »ç¿ëÀÚ ÆíÀǼº ¹× ÀÌÁ¾ ¸Å´ÏÄÚ¾î ÀÚ¿øÀÇ È¿°úÀûÀÎ È°¿ëÀ» ÅëÇÑ ¹ÙÀÌ¿À ÀÀ¿ë ¼º´É Çâ»óÀ» À§ÇÑ ½Ã½ºÅÛ ¼ÒÇÁÆ®¿þ¾î¸¦ ¼³°èÇÏ¿´´Ù. 2011³â. 12¿ù. MAHA ½´ÆÛÄÄÇ»Æà ½Ã½ºÅÛÀº 32°³ÀÇ ÄÄÇ»Æà ³ëµå¿¡ ±â¹Ý ÇÏ¿© ÀÌ·Ð ¼º´É 50 Å׶ó Ç÷ӽº, ½ÇÃø ¼º´É 30.3Å׶ó Ç÷ӽº(½Ã½ºÅÛ È¿À² 56.2%)·Î ¼³°è, ±¸Ãà. µÇ¾úÀ¸¸ç, 2013³â 100 Å׶ó Ç÷ӽº ±Ô¸ð·Î È®ÀåµÉ ¿¹Á¤ÀÌ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
During the past decade, many changes and attempts have been tried and are continued developing new technologies in the computing area. The brick wall in computing area, especially power wall, changes computing paradigm from computing hardwares including processor and system architecture to programming environment and application usage. The high performance computing (HPC) area, especially, has
been experienced catastrophic changes, and it is now considered as a key to the national competitiveness. In the late 2000뭩, many leading countries rushed to develop Exascale supercomputing systems, and as a results tens of PetaFLOPS system are prevalent now. In Korea, ICT is well developed and Korea is considered as a one of leading countries in the world, but not for supercomputing area. In this paper, we describe architecture design of MAHA supercomputing system which is aimed to develop 300 TeraFLOPS system for bio-informatics applications like human genome analysis and protein-protein docking. MAHA supercomputing system is consists of four major parts 뻙omputing hardware, file system, system software and bio-applications. MAHA supercomputing system is designed to utilize heterogeneous computing accelerators (co-processors like GPGPUs and MICs) to get more performance/$, performance/area, and performance/power. To provide high speed data movement and large capacity, MAHA file system is designed to have asymmetric cluster architecture, and consists of metadata server, data server, and client file system on top of SSD and MAID storage servers. MAHA system softwares are designed to provide user-friendliness and easy-to-use based on integrated system management component 뻦ike Bio Workflow management, Integrated Cluster management and Heterogeneous Resource management. MAHA supercomputing system was first installed in Dec., 2011. The theoretical performance of MAHA system was 50 TeraFLOPS and measured performance of 30.3 TeraFLOPS with 32 computing nodes. MAHA system will be upgraded to have 100 TeraFLOPS performance at Jan., 2013.
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Å°¿öµå(Keyword) |
À¯Àüü ºÐ¼®
¹ÙÀÌ¿ÀÀÎÆ÷¸Åƽ½º
½´ÆÛÄÄÇ»ÅÍ
MAHA ½´ÆÛÄÄÇ»Æà ½Ã½ºÅÛ
À̱âÁ¾
Genome Analysis
Bio-Informatics
Supercomputer
MAHA Supercomputer
Heterogeneous
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ÆÄÀÏ÷ºÎ |
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