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Event・Lectures
Cray XC40 Programming Seminar
publication date : Nov. 9, 2016
We will carry out a lecture on the Cray XC40 programming environment.
※ Supercomputer is under the scope of the Export Administration Regulations. Therefore, these seminars are also restricted under the Foreign Exchange Laws and related laws. Please see "Rules for Use of Supercomputers for Foreign Nationals and Japanese Nationals Residing Overseas " for details.
Rules for Use of Supercomputers for Foreign Nationals and Japanese Nationals Residing Overseas
http://www.iimc.kyoto-u.ac.jp/en/services/comp/apply/other/gaikokujin.html
Date | December 1 (Thu), 2016 9:00~16:00 |
Venue |
404 Conference Room on the fourth floor of the Academic Center for Computing and Media Studies, Kyoto University (North bldg) http://www.iimc.kyoto-u.ac.jp/pdf/accessmap_ACCMS_north_jp.pdf |
Eligibility for participation | XC40 users (users of one of the supercomputer system A or those who are planning to use) |
Application | Required |
Application Form | Acceptance of participation application has ended. |
Application Period | 2016/11/09 00:00:00 ~ 2016/11/30 17:00:00 |
Participation How to Apply | Please apply from a dedicated application form. |
Capacity | 50 |
Sponsor | Research support section |
Cooperation | Unit of Computational Science |
Inquiry |
Research Information Section, IT Promotion Division, Information Management Department, Kyoto University
TEL:075-753-7407 E-mail:comp-infokudpc.kyoto-u.ac.jp Inquiry Form |
Program | Abstract: This is a full-day tutorial on programming for the Cray XC system with Intel Knights Landing (KNL), the second generation Intel Xeon Phi. Attendees will learn how to use the Cray Programming Environment to port and optimize applications for KNL systems. We will describe the KNL architecture and emphasize some of the main aspects related to KNL features, such as the high-bandwidth memory, and how to optimize for them with the memory directives and the Cray memory analysis assistant tool. We will also focus on experiences and best-practice for optimization of scientific applications on KNL systems.
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