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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
GPU ¼º´É Çâ»óÀ» À§ÇÑ MSHR È°¿ë·ü ±â¹Ý µ¿Àû ¿öÇÁ ½ºÄÉÁÙ·¯ |
¿µ¹®Á¦¸ñ(English Title) |
MSHR-Aware Dynamic Warp Scheduler for High Performance GPUs |
ÀúÀÚ(Author) |
±è±¤º¹
±èÁ¾¸é
±èöȫ
Gwang Bok Kim
Jong Myon Kim
Cheol Hong Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 08 NO. 05 PP. 0111 ~ 0118 (2019. 05) |
Çѱ۳»¿ë (Korean Abstract) |
GPU´Â º´·Ä󸮰¡ °¡´ÉÇÑ °·ÂÇÑ Çϵå¿þ¾î ÀÚ¿øÀ» ±â¹ÝÀ¸·Î ³ôÀº 󸮷®À» Á¦°øÇÑ´Ù. ÇÏÁö¸¸ °úµµÇÑ ¸Þ¸ð¸® ¿äûÀÌ ¹ß»ýÇÏ´Â °æ¿ì ij½¬È¿À²ÀÌ ³·¾ÆÁ® GPU ¼º´ÉÀÌ Å©°Ô °¨¼ÒÇÒ ¼ö ÀÖ´Ù. ij½¬¿¡¼ÀÇ °æÇÕÀÌ ½É°¢ÇÏ°Ô ¹ß»ýÇÑ °æ¿ì µ¿½Ã 󸮵Ǵ ½º·¹µåÀÇ ¼ö¸¦ °¨¼Ò½ÃŲ´Ù¸é ij½¬¿¡¼ÀÇ °æÇÕÀÌ ¿ÏȵǾî Àüü ¼º´ÉÀ» Çâ»ó½Ãų ¼ö ÀÖ´Ù. º» ³í¹®¿¡¼´Â ij½¬¿¡¼ÀÇ °æÇÕ Á¤µµ¿¡ µû¶ó µ¿ÀûÀ¸·Î º´·Ä¼ºÀ» Á¶ÀýÇÒ ¼ö ÀÖ´Â ¿öÇÁ ½ºÄÉÁÙ¸µ ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ±âÁ¸ ¿öÇÁ ½ºÄÉÁÙ¸µ Á¤Ã¥ Áß LRRÀº GTO¿¡ ºñÇØ ¿öÇÁ ¼öÁØÀÇ º´·Ä¼ºÀÌ ³ô´Ù. µû¶ó¼ Á¦¾ÈÇÏ´Â ¿öÇÁ ½ºÄÉÁÙ·¯´Â L1 µ¥ÀÌÅÍ Ä³½¬ °æÇÕ Á¤µµ¸¦ ¹Ý¿µÇÏ´Â MSHR(Miss Status Holding Register)ÀÌ ³·Àº ÀÚ¿ø È°¿ë·üÀ» º¸ÀÏ ¶§ LRR Á¤Ã¥À» Àû¿ëÇÑ´Ù. ¹Ý´ë·Î MSHR ÀÚ¿ø È°¿ë·üÀÌ ³ôÀ» ¶§´Â ¿öÇÁ ¼öÁØÀÇ º´·Ä¼ºÀ» ³·Ãß±â À§ÇØ GTO Á¤Ã¥À» Àû¿ëÇÏ¿© ¿öÇÁ ¿ì¼±¼øÀ§¸¦ °áÁ¤ÇÑ´Ù. Á¦¾ÈÇÏ´Â ±â¹ýÀº µ¿ÀûÀ¸·Î ½ºÄÉÁÙ¸µ Á¤Ã¥À» ¼±ÅÃÇϱ⠶§¹®¿¡ ±âÁ¸ÀÇ °íÁ¤µÈ LRR°ú GTO¿¡ ºñÇØ ³ôÀº IPC ¼º´É°ú ij½¬ È¿À²À» º¸¿©ÁØ´Ù. ½ÇÇè °á°ú Á¦¾ÈÇÏ´Â µ¿Àû¿öÇÁ ½ºÄÉÁÙ¸µ ±â¹ýÀº LRR Á¤Ã¥¿¡ ºñÇØ ¾à 12.8%, GTO Á¤Ã¥¿¡ ºñÇØ ¾à 3.5% IPC Çâ»óÀ» º¸ÀδÙ.
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¿µ¹®³»¿ë (English Abstract) |
Recent graphic processing units (GPUs) provide high throughput by using powerful hardware resources. However, massive memory accesses cause GPU performance degradation due to cache inefficiency. Therefore, the performance of GPU can be improved by reducing thread parallelism when cache suffers memory contention. In this paper, we propose a dynamic warp scheduler which controls thread parallelism according to degree of cache contention. Usually, the greedy then oldest (GTO) policy for issuing warp shows lower parallelism than loose round robin (LRR) policy. Therefore, the proposed warp scheduler employs the LRR warp scheduling policy when Miss Status Holding Register(MSHR) utilization is low. On the other hand, the GTO policy is employed in order to reduce thread parallelism when MSHRs utilization is high. Our proposed technique shows better performance compared with LRR and GTO policy since it selects efficient scheduling policy dynamically. According to our experimental results, our proposed technique provides IPC improvement by 12.8% and 3.5% over LRR and GTO on average, respectively.
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Å°¿öµå(Keyword) |
±×·¡ÇÈ Ã³¸®ÀåÄ¡
¿öÇÁ ½ºÄÉÁÙ¸µ
ij½¬
MSHR
º´·Ä¼º
GPU
Warp Scheduling
Cache
MSHR
Parallelism
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ÆÄÀÏ÷ºÎ |
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