Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö B
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
GPU º´·Ä¼ºÀ» ÀÌ¿ëÇÑ ¹®¼ À¯»çµµ °è»ê ¼º´É °³¼± |
¿µ¹®Á¦¸ñ(English Title) |
Improving the Performance of Document Similarity by using GPU Parallelism |
ÀúÀÚ(Author) |
¹ÚÀϳ²
¹èº´°É
ÀÓÀºÁø
°½Â½Ä
Il-Nam Park
Byunggurl Bae
Eun-Jin Im
Seung-Shik Kang
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 19-B NO. 04 PP. 0243 ~ 0248 (2012. 08) |
Çѱ۳»¿ë (Korean Abstract) |
Á¤º¸°Ë»ö ºÐ¾ß¿¡¼ º¤ÅÍ ¸ðµ¨, ¹®¼ Ŭ·¯½ºÅ͸µ µîÀº ÀÔ·Â ¹®¼ °³¼ö°¡ Áõ°¡ÇÒ¼ö·Ï À¯»çµµ °è»ê ¼Óµµ°¡ ½Ã½ºÅÛÀÇ ¼º´É¿¡ ¸¹Àº ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ´Ù. º» ³í¹®¿¡¼´Â ¹®¼ À¯»çµµ °è»ê ¼º´ÉÀ» Çâ»ó½ÃÅ°±â À§ÇÏ¿© À¯»çµµ¸¦ °è»êÇÏ´Â ¿¬»êÀ» CPU ´ë½Å¿¡ GPU¸¦ ÀÌ¿ëÇÏ´Â CUDA ÇÁ·¹ÀÓ¿öÅ©¿¡¼ º´·Äó¸® ±â¹ýÀ¸·Î ±¸ÇöÇÏ´Â ¹æ¹ýÀ» Á¦¾ÈÇÏ¿´´Ù. ÀÌ ¹æ¹ýÀº º¸ÆíÀûÀÎ ¹æ½ÄÀÎ CPU ȯ°æ¿¡¼ ±¸ÇöÇßÀ» ¶§¿Í ºñ±³ÇÒ ¶§ ÃÖ´ë 15¹è±îÁö ¼º´ÉÀÌ Çâ»óµÇ¾ú´Ù. ¶ÇÇÑ, ±âÁ¸ÀÇ CUDA ¶óÀ̺귯¸®ÀÎ CUBLAS¿Í Thrust¸¦ »ç¿ëÇÑ ¹æ¹ýº¸´Ùµµ °¢°¢ 5.2¹è, 3.4¹èÀÇ ¼º´É °³¼± È¿°ú°¡ ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù.
|
¿µ¹®³»¿ë (English Abstract) |
In the information retrieval systems like vector model implementation and document clustering, document similarity calculation takes a great part on the overall performance of the system. In this paper, GPU parallelism has been explored to enhance the processing speed of document similarity calculation in a CUDA framework. The proposed method increased the similarity calculation speed almost 15 times better compared to the typical CPU-based framework. It is 5.2 and 3.4 times better than the methods by using CUBLAS and Thrust, respectively.
|
Å°¿öµå(Keyword) |
GPU º´·Ä¼º
¹®¼ À¯»çµµ
¹®¼ Ŭ·¯½ºÅ͸µ
CUDA ¶óÀ̺귯¸®
GPU Parallelism
Document Similarity
Document Clustering
CUDA Library
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|