Difference between revisions of "HPC16"

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<!--* '''Part of FAS*W 2016 (2016 IEEE International Workshops on Foundations and Applications of Self* Systems)'''-->
 
 
* '''2016년 8월 25일(목)-  26일(금)  Homeplus Academy GrandRoom '''  
 
* '''2016년 8월 25일(목)-  26일(금)  Homeplus Academy GrandRoom '''  
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*'''주최 및 주관: 정보과학회 고성능 컴퓨팅 연구회'''
 
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'''주최 및 주관: 정보과학회 고성능 컴퓨팅 연구회'''
 
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Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.
 
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Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are crucial. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management. -->
 
  
 
== Program ==
 
== Program ==

Revision as of 11:05, 14 July 2016

2016 High Performance Computing Summer Workshop

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  • 2016년 8월 25일(목)- 26일(금) Homeplus Academy GrandRoom
  • 주최 및 주관: 정보과학회 고성능 컴퓨팅 연구회


Program

  • 8월 25일(목)
Time
12:00-13:00 등록
세션 1 좌장 : 항공대학교 이재환 교수
13:00-13:45 Neural Network and Deep Learning 서울대학교

원중호교수

13:45-14:30 Introduction to the TensorFlow Programming Model, API and Distributed Runtime SKTelecom

김진철 박사

14:30-15:15 딥러닝 오픈소스 소프트웨어 프레임워크 비교(TensorFlow, CNTK, Petuum, MxNet) 서울대학교

김건희교수

15:15-15:45 Break Time
세션 2 좌장 : 아주대학교 김영재 교수
15:45-16:30 딥러닝 가속 하드웨어: GPU or Accelerator 연세대학교

노원우 교수

16:30-17:15 Bayesian treatment on data compression: space-time complexity trade-off LBNL(Berkeley Lab)

이동은 박사

17:15-18:00 패널 토의 다같이
18:00 - 이동 및 저녁 식사 다같이


  • 8월 26일(금)
Time
9:30 - 11:30 HPC 연구회 현안 및 발전방향 논의 다같이

Registration Fee

구분 등록비
정회원 300,000원
학생회원 150,000원
비회원(일반) 350,000원
비회원(학생) 200,000원

Location

홈플러스 아카데미(무의도)

  • 주소 : 인천광역시 중구 대무의로 159
  • 전화 : 032-745-8300~1
  • 네비게이션에 “잠진도 선착장”을 입력해 주십시오.

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Contact

Soonwook Hwang, KISTI, hwang AT kisti.re.kr

Sponsors

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