Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
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ÇѱÛÁ¦¸ñ(Korean Title) |
PARPA: °í¼º´É ÄÄÇ»ÆÃÀ» À§ÇÑ À̱âÁ¾ ¾ÆÅ°ÅØó µ¿½Ã »ç¿ë ÇÁ·¹ÀÓ¿öÅ© |
¿µ¹®Á¦¸ñ(English Title) |
PARPA: A Parallel Framework Simultaneously Using Heterogeneous Architecture for High Performance Computing |
ÀúÀÚ(Author) |
Á¶È¿Àç
ÇÑÅÂÇö
ÀÌÇö¸í
Á¶Èñ½Â
Hyojae Cho
Taehyun Han
Hyeonmyeong Lee
Heeseung Jo
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¿ø¹®¼ö·Ïó(Citation) |
VOL 46 NO. 09 PP. 0876 ~ 0884 (2019. 09) |
Çѱ۳»¿ë (Korean Abstract) |
GPU´Â ³ôÀº ¿¬»ê ¼º´ÉÀ¸·Î ÀÎÇÏ¿© ´Ü¼øÈ÷ ±×·¡ÇÈ ¿¬»ê¿¡¸¸ ±¹ÇѵÇÁö ¾Ê°í, ¿¬»ê Áß½ÉÀÇ ÀÛ¾÷¿¡µµ ³Î¸® È°¿ëµÇ°í ÀÖ´Ù. CPU¿Í GPU¸¦ µ¿½Ã¿¡ »ç¿ëÇÏ´Â °Í ÀÚü´Â ¾î·Á¿î ÀÏÀÌ ¾Æ´ÏÁö¸¸, À̱âÁ¾ ÇÁ·Î¼¼¼ »çÀÌ¿¡¼ ÀÛ¾÷À» ºÐ¹èÇÏ°í ¿¬»ê¿¡ ´ëÇÑ ºÐ´ã ºñÀ²À» Á¶Á¤ÇÏ´Â °ÍÀº ½±Áö ¾ÊÀ¸¸ç ÀÌ´Â ¼º´É Çâ»óÀÇ Áß´ëÇÑ Ã´µµÀÌ´Ù. º» ³í¹®¿¡¼´Â ÀÌ·¯ÇÑ ¾î·Á¿òÀ» ½±°Ô ÇØ°áÇϱâ À§ÇØ °í¾ÈÇÑ »õ·Î¿î ÇÁ·¹ÀÓ¿öÅ©ÀÎ PARPA ÇÁ·¹ÀÓ¿öÅ©¸¦ Á¦¾ÈÇÑ´Ù. PARPA ÇÁ·¹ÀÓ¿öÅ©´Â °£´ÜÇÑ ¹æ¹ýÀ¸·Î ¾ÖÇø®ÄÉÀ̼ÇÀÇ CPU, GPU µ¿½Ã »ç¿ëÀ» °¡´ÉÇÏ°Ô Çϸç, À̸¦ ÅëÇØ Àü¹ÝÀûÀÎ ½Ã½ºÅÛ ÀÚ¿øÀ» È¿À²Àû, È¿°úÀûÀ¸·Î »ç¿ëÇÒ ¼ö ÀÖµµ·Ï ÇÑ´Ù. ¶ÇÇÑ, ½ÇÇàÁßÀÎ ¾ÖÇø®ÄÉÀ̼ÇÀÇ Æ¯¼º ¹× °¢ ¾ÆÅ°ÅØó À¯´ÖÀÇ Æ¯¼º°ú ½Ç½Ã°£ ºÎÇϵµ¿¡ µû¶ó ÀÚµ¿À¸·Î ·Îµå ¹ë·±½ÌÀ» ¼öÇàÇÑ´Ù. ½ÇÇè °á°ú¿¡ µû¸£¸é PARPA ÇÁ·¹ÀÓ¿öÅ©¸¦ Àû¿ëÇÑ ¾ÖÇø®ÄÉÀ̼ÇÀº ÃÖ´ë 3.48¹è ³ôÀº ¼º´ÉÀ» ´Þ¼ºÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
With the substantial performance improvements achieved in GPU, they have come to be commonly used not only in computer graphics but also in high performance computing. Simply using a CPU and a GPU concurrently is not difficult. However, distributing works and adjusting the computing ratio among these heterogeneous processors are challenging issues. We propose a novel framework in this paper, named PARPA, which automatically distributes and processes tasks to a CPU and a GPU. PARPA can maximize computation performance by using a CPU and a GPU simultaneously. The load balancing between them can be performed dynamically based on their usage and features. The evaluation results indicate that PARPA shows 3.48 times better performance.
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Å°¿öµå(Keyword) |
°í¼º´É ÄÄÇ»ÆÃ
GPGPU
À̱âÁ¾ ÄÄÇ»ÆÃ
º´·Äó¸®
OpenCL
high performance computing
GPGPU
heterogeneous computing
parallel processing
OpenCL
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ÆÄÀÏ÷ºÎ |
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