NAG and Intel offer Xeon Phi learning opportunities
The importance of teaching those involved in software development remains a core part of what we do at NAG. Over the next few months we are partnering again with Intel® to provide learning opportunities focussing on application performance on the Xeon Phi (KNL).
Training Course - Rice University, Houston - 24-25 April 2017
The first is an 'in-person' 2-day training course 'Improving Application Performance on the Intel Xeon Phi Processor' at Rice University, Houston, TX. The course is open to all. For more information and to register see the event page.
Webinar Series - 3, 4, 5, & 8, 9, 10, 11 May 2017
The second is a webinar series that takes place over 7 days for 2 hours at a time. This unique online learning opportunity will deliver the same results as the 'in-person' Houston event. For more information and to register for the series see here.
Mark 26 NAG Library Algorithm Spotlight: NEW Nearest Correlation Matrix
In Mark 26 of the NAG Library we have again extended the functionality in the area of computing the Nearest Correlation Matrix. Various improvements have been made in this popular chapter in the Library including enhanced functionality for:
- The Basic Nearest Correlation Matrix Problem
- Weighted Problems and Forcing a Positive Definite Correlation Matrix
- Fixing Correlations with a Shrinking Method
- The Nearest Correlation Matrix with Factor Structure
How can I start using Mark 26?
Many readers of NAGnews will be entitled to use Mark 26 as part of their supported NAG Software Agreement. If you currently use the NAG Library and would like us to see if you are eligible for an upgrade to the new Mark, email us and we'll do the checking. If you're interested in using the routines in the Library do get in touch or visit our website for more information.
The Role of Matrix Functions - catch the session
Last month Edvin Hopkins, NAG Accelerator Software Engineer, presented 'The Role of Matrix Functions' to an online audience. If you missed it and want to catch up, watch it here https://youtu.be/VtEwgGoOxaE.
The webinar featured Matrix Functions algorithms from the latest NAG Library. If you're not using the NAG Library you are welcome to try it (for C/C++, .NET, MATLAB, Python, Java, Excel/VB, etc.) by requesting a download here.
Edvin has previously blogged about Matrix Functions in the NAG Library.
- Testing Matrix Function Algorithms Using Identities
- Matrix Functions in Parallel
- How do I know I am getting the right answer?
Hong Kong University Student Winners
We were delighted that two exceptional students from Hong Kong University were presented their NAG Scholarships recently. Mr Chi Yiu Chan and Mr. Ka Chun CHAN, both Master of Statistics students, were recognised for receiving the highest scores on their courses (academic year 2015/2016).
If you are involved in teaching and are interested in NAG sponsoring an award at your learning institution do get in touch.
Best of the Blog
Out & About with NAG
Come and see us at various conferences and events over the next few months.
Training Courses & Webinars
NAG and Intel 2 Day Training Course 'Improving Application Performance on the Intel Xeon Phi Processor', Rice University, Houston, TX
25-26 April 2017
Fortran Modernization Workshop, University of Warwick
27-28 April 2017
Fortran Modernization Workshop, Universitat Politecnica de Catalunya
24-26 July 2017
Exhibitions, Conferences and Trade Shows
The Trading Show Chicago 2017
17-18 May 2017
Cray User Group
7-11 May 2017
Industry HPC Users Group
10-12 May 2017
17-25 May 2017
POP User Forum at HPC Summit Week 2017
19 May 2017