{"id":16,"date":"2016-11-29T07:05:48","date_gmt":"2016-11-29T07:05:48","guid":{"rendered":"https:\/\/css.or.kr\/csc2020\/?page_id=16"},"modified":"2020-02-02T17:40:13","modified_gmt":"2020-02-02T08:40:13","slug":"%ec%9d%bc%ec%a0%95%ec%95%88%eb%82%b4","status":"publish","type":"page","link":"https:\/\/css.or.kr\/csc2020\/?page_id=16","title":{"rendered":"\ud504\ub85c\uadf8\ub7a8"},"content":{"rendered":"


\n2\uc6d4 3\uc77c(\uc6d4)<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\uc2dc\uac04<\/strong><\/td>\n\ud504\ub85c\uadf8\ub7a8<\/strong><\/td>\n<\/tr>\n
13:00-13:05<\/strong><\/td>\n\uac1c\ud68c\uc2dd<\/b><\/td>\n<\/tr>\n
13:05-13:50<\/strong><\/td>\nKeynote Speech 1<\/b><\/p>\n
(\uc0ac\ud68c: \ud5c8\uc7ac\ud601 KAIST \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
Building Energy Efficient AI Systems<\/p>\n
\u2013 \uc2ec\uc740\uc218 \uc804\ubb34 (\uc0bc\uc131\uc804\uc790 DS\ubd80\ubb38)<\/div>\n<\/td>\n<\/tr>\n
13:50-15:20<\/strong><\/td>\nS1: Emerging Systems<\/b><\/p>\n
(\uc88c\uc7a5: \uc548\uc815\ud638 \uc11c\uc6b8\ub300 \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
Systems for Machine Learning<\/p>\n
\u2013\u00a0 \uc804\ubcd1\uace4 \uad50\uc218 (\uc11c\uc6b8\ub300)<\/div>\n<\/td>\n<\/tr>\n
FLUID: Flexible User Interface Distribution for Ubiquitous Multi-device Execution<\/p>\n
\u2013 \uc2e0\uc778\uc2dd \uad50\uc218 (KAIST)<\/div>\n<\/td>\n<\/tr>\n
Unroll the Future: Architectural Support to Improve Throughput and Power Efficiency on GPUs<\/p>\n
\u2013 \ub178\uc6d0\uc6b0 \uad50\uc218 (\uc5f0\uc138\ub300)<\/div>\n<\/td>\n<\/tr>\n
15:20 – 15:40<\/strong><\/td>\nCoffee Break<\/strong><\/td>\n<\/tr>\n
15:40 \u2013<\/strong>17:40<\/strong><\/td>\nS2: Computing in Practice<\/b><\/p>\n
(\uc88c\uc7a5: \uac15\uacbd\ud0dc \ud55c\uc591\ub300 \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
Memory System Architecture for AI Server<\/p>\n
\u2013 \uc784\uc758\ucca0 \ub2f4\ub2f9(Fellow) (SK Hynix)<\/div>\n<\/td>\n<\/tr>\n
\ube14\ub85d\uccb4\uc778 \uc0ac\uc5c5\uc758 \uc5b4\ub824\uc6c0\uacfc \uae30\ud68c<\/p>\n
\u2013 \uc720\uc601\uc11d \uc124\ub9bd\uc790 \ubc0f \u524dCEO (\ucf54\ube57)<\/div>\n<\/td>\n<\/tr>\n
Cloud \uc2dc\ub300\uc758 Machine Learning<\/p>\n
\u2013 \uc548\uc775\uc9c4 CEO (Moloco Inc)<\/div>\n<\/td>\n<\/tr>\n
\ube60\ub9bf\ube60\ub9bf\ud55c \uc11c\ube59\ub85c\ubd07\uc744 \uc704\ud55c \uc2dc\uc2a4\ud15c<\/p>\n
\u2013 \uc624\uc815\uc8fc \uae30\uc220\uc774\uc0ac (Bear Robotics)<\/div>\n<\/td>\n<\/tr>\n
17:45 – 18:45<\/strong><\/td>\n\ud559\uc0dd \uad50\ub958 \ud504\ub85c\uadf8\ub7a8<\/b><\/p>\n
(\uc9c4\ud589: \uae40\uad11\uc120 POSTECH \uad50\uc218, \uc88c\ud6c8\uc2b9 DGIST \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
\ud3ec\uc2a4\ud130 (\uc7a5\uc18c: \ub808\uc778\ubcf4\uc6b0\ub8f8)<\/td>\n<\/tr>\n
18:45 – 20:30<\/strong><\/td>\nBanquet<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\n2\uc6d4 4\uc77c(\ud654)<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\uc2dc\uac04<\/strong><\/td>\n\ud504\ub85c\uadf8\ub7a8<\/strong><\/td>\n<\/tr>\n
9:00-11:00<\/strong><\/td>\nS3: New Comers<\/b><\/p>\n
(\uc88c\uc7a5: \uae40\ud55c\uc900 \uc5f0\uc138\ub300 \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
Breaking the Abstractions for Productivity and Performance in the Era of Specialization<\/p>\n
\u2013 \ubc15\uc885\uc138 \uad50\uc218 (KAIST)<\/div>\n<\/td>\n<\/tr>\n
Machine Learning-based Resource Management<\/p>\n
\u2013 \uc131\ud6a8\uc9c4 \uad50\uc218 (POSTECH)<\/div>\n<\/td>\n<\/tr>\n
Computer Architecture for the Good of Great Software<\/p>\n
\u2013 \uae40\uc601\uc11d \uad50\uc218 (\uc5f0\uc138\ub300)<\/div>\n<\/td>\n<\/tr>\n
System Optimizations for Distributed Deep Learning<\/p>\n
\u2013 \uc774\uc9c4\ud638 \uad50\uc218 (\uc5f0\uc138\ub300)<\/div>\n<\/td>\n<\/tr>\n
11:00 – 11:15<\/strong><\/td>\nCoffee Break<\/strong><\/td>\n<\/tr>\n
11:15 \u2013<\/strong>12:00<\/strong><\/td>\nKeynote Speech 2<\/b><\/p>\n
(\uc0ac\ud68c: \uc774\uc7ac\uc6b1 \uc11c\uc6b8\ub300 \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
\n

NAVER AI, \uc77c\uc0c1\uc774 \ub41c \uc778\uacf5\uc9c0\ub2a5<\/span><\/p>\n

\u2013 \uae40\uc131\ud6c8 \ub9ac\ub354 (NAVER Clova AI)<\/div>\n<\/td>\n<\/tr>\n
12:00 – 13:30<\/strong><\/td>\nLunch<\/b><\/td>\n<\/tr>\n
13:30 \u2013<\/strong>15:00<\/strong><\/td>\nS4: SW Systems<\/b><\/p>\n
(\uc88c\uc7a5: \uc11c\uc758\uc131 \uc131\uade0\uad00\ub300 \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
libmpk: Software Abstraction for Intel Memory Protection Keys (Intel MPK)<\/p>\n
\u2013 \ubb38\ud604\uace4 \uad50\uc218 (UNIST)<\/div>\n<\/td>\n<\/tr>\n
\uc800\uc804\ub825 \ubaa8\ubc14\uc77c AR \uc2dc\uc2a4\ud15c \uc6b4\uc6a9\uc744 \uc704\ud55c \uadf8\ub798\ud53d\uc2a4 \uae30\uc220<\/p>\n
\u2013 \uace0\uc815\uae38 \uad50\uc218 (\uc5f0\uc138\ub300)<\/div>\n<\/td>\n<\/tr>\n
Automated System- and Application-aware Code Optimization Framework for Data-parallel\u00a0Architectures<\/p>\n
\u2013 \ubc15\uc601\uc900 \uad50\uc218 (\ud55c\uc591\ub300)<\/div>\n<\/td>\n<\/tr>\n
15:00 – 15:30<\/strong><\/td>\nCoffee Break<\/b><\/td>\n<\/tr>\n
15:30 – 17:00<\/strong><\/td>\nS5: HW Systems<\/b><\/p>\n
(\uc88c\uc7a5: \uc815\uba85\uc218 KAIST \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
Beyond TOPS\/Watt: What’s Next for Computer Systems for Machine Learning<\/p>\n
\u2013 \uc720\ubbfc\uc218 \uad50\uc218 (KAIST)<\/div>\n<\/td>\n<\/tr>\n
Towards Ideal Memory Compression<\/p>\n
\u2013 \ud64d\uc11d\uc778 \uad50\uc218 (\uacbd\ubd81\ub300)<\/div>\n<\/td>\n<\/tr>\n
AI Accelerators for Cloud Datacenters<\/p>\n
\u2013 \uae40\uc8fc\uc601 \uad50\uc218 (KAIST)<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\n2\uc6d4 5\uc77c(\uc218)<\/strong><\/p>\n\n\n\n\n\n
\uc2dc\uac04<\/strong><\/td>\n\ud504\ub85c\uadf8\ub7a8<\/strong><\/td>\n<\/tr>\n
09:00 – 11:00<\/strong><\/td>\n\uc790\uc720\ud1a0\ub860: \ubbf8\ub798 \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uc815\ucc45 \ud559\uc220 \ud1a0\ub860<\/p>\n
(\uc0ac\ud68c: \uc774\uc7ac\uc6b1 \uc11c\uc6b8\ub300 \uad50\uc218, \ud5c8\uc7ac\ud601 KAIST \uad50\uc218)<\/div>\n<\/td>\n<\/tr>\n
11:00<\/strong><\/td>\n\ud3d0\ud68c\uc2dd<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

2\uc6d4 3\uc77c(\uc6d4) \uc2dc\uac04 \ud504\ub85c\uadf8\ub7a8 13:00-13:05 \uac1c\ud68c\uc2dd 13:05-13:50 Keynote Speech 1 (\uc0ac\ud68c: \ud5c8\uc7ac\ud601 KAIST \uad50\uc218) Building Energy Efficient AI Systems \u2013 \uc2ec\uc740\uc218 \uc804\ubb34 (\uc0bc\uc131\uc804\uc790 DS\ubd80\ubb38) 13:50-15:20 S1: Emerging Systems (\uc88c\uc7a5: \uc548\uc815\ud638 \uc11c\uc6b8\ub300 \uad50\uc218) Systems for Machine Learning \u2013\u00a0 \uc804\ubcd1\uace4 \uad50\uc218 (\uc11c\uc6b8\ub300) FLUID: Flexible User Interface Distribution for Ubiquitous Multi-device Execution \u2013 \uc2e0\uc778\uc2dd \uad50\uc218 (KAIST) Unroll the Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=\/wp\/v2\/pages\/16"}],"collection":[{"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16"}],"version-history":[{"count":45,"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":396,"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=\/wp\/v2\/pages\/16\/revisions\/396"}],"wp:attachment":[{"href":"https:\/\/css.or.kr\/csc2020\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}