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Current Result Document :
2
/ 2
ÀÌÀü°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
HPC ȯ°æÀ» À§ÇÑ ¿öÅ©ÇÃ·Î¿ì ±â¹ÝÀÇ ¹ÙÀÌ¿À µ¥ÀÌÅÍ ºÐ¼® ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title)
Workflow-based Bio Data Analysis System for HPC
ÀúÀÚ(Author)
¾È½Å¿µ
±èº´¼·
ÃÖÇöÈ
Àü½ÂÇù
¹è½ÂÁ¶
ÃÖ¿Ï
Shinyoung Ahn
ByoungSeob Kim
Hyun-Hwa Choi
Seunghyub Jeon
Seungjo Bae
Wan Choi
¿ø¹®¼ö·Ïó(Citation)
VOL 02 NO. 02 PP. 0097 ~ 0106 (2013. 02)
Çѱ۳»¿ë
(Korean Abstract)
Àΰ£ °Ô³ð ÇÁ·ÎÁ§Æ®ÀÇ ¿Ï¼º ÀÌÈÄ À¯Àüü ºÐ¼® ºñ¿ëÀº ¸Å¿ì ºü¸£°Ô °¨¼ÒÇÏ°í ÀÖ´Ù. ÀÌ¿¡ µû¶ó Àΰ£ À¯Àüü ºÐ¼® ¿ä±¸°¡ ±ÞÁõÇÒ °ÍÀ¸·Î ¿¹»óµÈ´Ù. Àΰ£ À¯Àüü ºÐ¼®°ú °°Àº ´ë±Ô¸ð ¹ÙÀÌ¿À µ¥ÀÌÅÍ ºÐ¼®À» °í¼ÓÀ¸·Î ¼öÇàÇϱâ À§Çؼ´Â ºñIT Àü¹®°¡µéÀÌ ´Ù¾çÇÑ Æ¯¼ºÀÇ ¹ÙÀÌ¿À ÀÀ¿ëµéÀ» °í¼º´ÉÄÄÇ»Æà ½Ã½ºÅÛÀ» ÅëÇØ È¿°úÀûÀ¸·Î ½ÇÇàÇÒ ¼ö ÀÖ¾î¾ß ÇÑ´Ù. À̸¦ À§Çؼ´Â ¿©·¯ ÀÀ¿ëµéÀÌ Á¶ÇÕµÇ¾î ¼ø¼¸¦ °®°í ½ÇÇàµÇ¾î¾ß ÇÏ´Â ¹ÙÀÌ¿À ÀÀ¿ëµéÀ» ¿öÅ©Ç÷οì ÇüÅ·Π½±°Ô Á¤ÀÇÇÒ ¼ö ÀÖ¾î¾ß Çϸç, ÀÌ ¿öÅ©Ç÷ο츦 HPC Ŭ·¯½ºÅÍ ½Ã½ºÅÛ¿¡¼ ÃÖÀû ÀÚ¿øÀ» ÇÒ´ç ¹Þ¾Æ ºÐ»ê º´·Ä ¼öÇà½ÃÄÑ¾ß ÇÑ´Ù. À̸¦ ÅëÇØ ¹ÙÀÌ¿À µ¥ÀÌÅÍ ºÐ¼® ¼º´É°ú ÀÀ´ä½Ã°£ÀÇ °³¼±À» ±â´ëÇÒ ¼ö ÀÖ´Ù. º» ³í¹®¿¡¼´Â HPC ȯ°æ¿¡ Àͼ÷ÇÏÁö ¾ÊÀº ºñIT ¹ÙÀÌ¿À ¿¬±¸ÀÚµéÀÌ ½±°Ô ¹ÙÀÌ¿À µ¥ÀÌÅÍ ºÐ¼®À» ÇÒ ¼ö ÀÖµµ·Ï ¹ÙÀÌ¿À ¿öÅ©Ç÷ο츦 ½±°Ô Á¤ÀÇÇÏ°í ½ÇÇàÇÒ ¼ö ÀÖ´Â ¹ÙÀÌ¿À Æ¯ÈµÈ ¿öÅ©ÇÃ·Î¿ì ±â¹Ý ´ë±Ô¸ð µ¥ÀÌÅÍ ºÐ¼® ½Ã½ºÅÛÀ» Á¦¾ÈÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
Since human genome project finished, the cost for human genome analysis has decreased very rapidly. This results in the sharp increase of human genome data to be analyzed. As the need for fast analysis of very large bio data such as human genome increases, non IT researchers such as biologists should be able to execute fast and effectively many kinds of bio applications, which have a variety of characteristics, under HPC environment. To accomplish this purpose, a biologist need to define a sequence of bio applications as workflow easily because generally bio applications should be combined and executed in some order. This bio workflow should be executed in the form of distributed and parallel computing by allocating computing resources efficiently under HPC cluster system. Through this kind of job, we can expect better performance and fast response time of very large bio data analysis. This paper proposes a workflow-based data analysis system specialized for bio applications. Using this system, non-IT scientists and researchers can analyze very large bio data easily under HPC environment.
Å°¿öµå(Keyword)
°í¼º´É ÄÄÇ»ÆÃ(HPC)
À¯Àüü ºÐ¼®
¹ÙÀÌ¿À µ¥ÀÌÅÍ ºÐ¼®
¿öÅ©ÇÃ·Î¿ì °ü¸®(WMS)
ÀÚ¿ø °ü¸®(RMS)
Supercomputer
Genome Analysis
Bio-Informatics
MAHA Supercomputer
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