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누리온 시스템에서의 All-Reduce 알고리즘 성능평가
명훈주 ( Hunjoo Myung ),정기문 ( Kimoon Jeong ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
GPU 기술과 빅데이터의 성장에 힘입어 최근 딥러닝 기술은 괄목할만한 성장을 이루었고, 구글, 페이스북, 우버 등의 빅데이터를 보유한 업체들과 슈퍼컴퓨팅분야에서는 이러한 빅데이터를 빠른 시간 안에 학습하기 위해 분산 딥러닝 기술을 연구해오고 있다. 이러한 대규모 분산 딥러닝에서는 집합 통신, IO 부하 등이 주요 병목으로 알려져 있다. 본 연구에서는 분산 딥러닝에서 시도되고 있는 주요 All-Reduce 알고리즘들에 대해 누리온 시스템에서 성능평가를 수행하였고, 512노드 이상의 대규모에서는 2D-torus 알고리즘이 우수한 성능을 보였다.
MORIGUCHI Yukako 아시아아동지원학회 2012 아시아아동지원연구 Vol.3 No.-
The primary objective of graduate research conducted in the final year of training curriculums for school nurse teachers (SNTs) is “to enhance learning outcomes by selecting an interesting topic in a specialized area and studying it in a self-directed manner" ‘ It is expected that students develop an ability to implement a task with enhanced awareness and motivation in their future workplaces by conducting graduate r esearch as a summary of their learni ng experiences at the university This study analyzed research areas , motivations, subjects , and methods , involving a11 students (29) the author supervised over the past 4 years (school years 2006/07 to 2009/10). As a result, it was demonstrated that most students aiming to become SNTs were mainly int erested in topics related to health , society, and education. The majority of research methods were literature and ques ti onnaire studies. Primary motivations for research included: training outside the university; classes; and experiences of their own , friends , and acquaintances. Further, th ere was a tendency for research themes and key issues to include new topics peculiar to each year ; therefore , it may be necessary for supervisors to actively deepen th eir knowledge of related areas , such as h ealth-related issues. It may also be necessary to exa mine appropriate methods t 。 guide students who change th eir research themes afterward, in addition to efficient supervision (scheduling, timing of guidance, etc ,).