Merge branch 'intel-training' into 'main'

Intel training

See merge request documentation/public!972

training/events.md

@@ -17,11 +17,10 @@ If you are interested in a re-run of our past courses or if you want to suggest
 ```{toctree}
 :maxdepth: 1
 
-events/2024-10-hpc-on-boarding.md
 events/2024-10-nird-toolkit.md
+events/2024-11-intel-training.md
 ```
 
-- [Build Systems Course and Hackathon, October 8-11](https://www.pdc.kth.se/about/events/training/build-systems-course-and-hackathon-part-i-1.1346795)
 - [Python for Scientific Computing, November 5-7, 2024](https://www.aalto.fi/en/events/python-for-scientific-computing-5-7november2024)
 - [GPU Programming. Why. When. How, November 12-14](https://enccs.se/events/gpu-programming-why-when-how-2024/)
 - [Software Carpentry course in research computing skills, November 11-15, (in-person) Bergen ](https://www.uib.no/en/ub/172439/software-carpentry-course-research-computing-skills)
@@ -33,6 +32,7 @@ events/2024-10-nird-toolkit.md
 ```{toctree}
 :maxdepth: 1
 
+events/2024-10-hpc-on-boarding.md
 nris_talks/2024-10-03-nris-talks.md
 events/2024-06-scientific-computing.md
 events/2024-spring-best-practices-series.md
@@ -41,6 +41,7 @@ nris_talks/2024-04-17-nris-talks.md
 
 ```
 
+- [Build Systems Course and Hackathon, October 8-11](https://www.pdc.kth.se/about/events/training/build-systems-course-and-hackathon-part-i-1.1346795)
 - [CodeRefinery workshop September 10-12, 17-19, 2024](https://coderefinery.github.io/2024-09-10-workshop/)
 - [MATLAB Usage in HPC Computing Environments](https://www.mathworks.com/company/events/seminars/series/mondays-with-matlab-nordic-hpc-workshops-nrd-2024.html)
 - [CodeRefinery train the trainer workshop: August 13, 20, 27 and September 3](https://coderefinery.github.io/train-the-trainer/)

training/events/2024-11-intel-training.md

@@ -0,0 +1,136 @@
+#  Intel oneAPI Workshop (6, 13 and 27 November) 
+
+The Norwegian Research Infrastructure Services (**NRIS**) is facilitating Intel oneAPI Workshop 
+offered by intel. The workshop will cover a wide range of topic from oneAPI, IFX and ICX compilers
+openMP, Python, advisor, mpi to vtune. The workshop will run as 3 series of events 
+in November (6, 13 and 27).  See the agenda below for more details.  This workshop is ideal for users
+ who wants to know more on these topics and developers. 
+
+## [Agenda](https://drive.google.com/drive/folders/14MNdoEfvdfwEhDA-_nSKd8AvHSKro6rF)
+
+### Day 1: ONEAPI&ITDC/COMPILERS/OPENMP (6th November 09:00-12:30 CEST)
+
+- **09:00 - Welcome**
+- **09:05 - Introduction to oneAPI and the new Intel Tiber Developer Cloud (ITDC) infrastructure**
+	- Concept and purpose for the oneAPI Standardization initiative
+	- Intel’s oneAPI Solutions – Toolkits with Compilers, libs, analysis, and migration tools
+        - Short introduction to SYCL: concept, references (eg Gromacs), learning material
+  	- Intel oneAPI plug-ins for Nvidia and AMD hardware (CPU and GPUs)
+	- ITDC: service platform for developing with the latest Intel HW & SW including learning material and tutorials
+
+- **09:35 - Benefits of the new LLVM based Intel compilers (IFX & ICX)**
+    - Improved code optimizations and tighter integration with Intel hardware.
+    - Full support for the latest Fortran, C, and C++ standards with better diagnostics.
+    - Easy migration from Intel Classic to LLVM compilers, with minimal code changes.
+    -  Cross-platform compatibility, compiling for CPUs, GPUs, and FPGAs.
+
+Intel’s new LLVM-based IFX and ICX compilers deliver enhanced performance, modern language support,
+and better optimization. This session will highlight the key advantages of these compilers, part of Intel’s oneAPI initiative, and offer insights into migrating from Intel’s classic compilers to the LLVM-based
+ones. Perfect for developers aiming to migrate and maximize their application performance using Intel’s
+latest compiler tools.
+
+- **10:00 - Break**
+
+- **10:15 - Offloading C++ code to GPU with OpenMP**
+    - Use OpenMP directives to accelerate C++ code on GPUs.
+    - Minimize code changes while gaining parallel performance.
+    - Simplify GPU offloading without complex modifications.
+Learn how to easily offload C++ code to GPUs using OpenMP. Learn how to easily offload C++ code to GPUs using OpenMP.
+- **11:00 - Offloading with FORTRAN Code with OpenMP**
+    - Offloading using oneMKL
+    - Automatic offloading using DO CONCURRENT
+    - Offloading using OpenMP 5.2
+
+- **11:45 - Hands-on labs on code optimisation**
+	- Use OpenMP Offload directives to execute code on GPU.
+	- Use OpenMP constructs to effectively manage data transfers to and from the device
+
+- **12:30 - End of Day1 session**
+
+### Day2: PYTHON AND ADVISOR (13th November 09:00-12:30 CEST)
+
+- **09:00  - Welcome**
+- **09:05  - Intel Distribution of Python**
+
+Explore the benefits of using Intel Distribution of Python and improve the performance where multithreading or multiprocessing are required or preferred. 
+    - Demos and labs included.
+
+- **10:00  - Break**
+
+- **10:15 - Application profiling for CPU and mixed hardware with Intel Advisor**
+    - Advisor main functionality (Vectorization and Roofline) starting with CPU
+    - Estimate performance potential gains with Offload Advisor (CPU -> HW Accelerator)
+    - Analyse heterogenous SYCL/OpenMP Workloads with Intel Advisor and Roofline analysis
+
+- **11:00 - Hands-on labs on Advisor**
+    - Run Offload Advisor using command line syntax.
+    - Use performance models and analyze generated reports.
+    - See how Offload Advisor identifies and ranks parallelization opportunities for offload.
+
+- **12:30 - End of Day2 session**
+
+### Day3: MPI AND VTUNE (27th November 09:00-12:30 CEST)
+
+- **09:00 - Welcome**
+- **09:05 - Intel® MPI and oneCCL in Heterogeneous Environment**
+
+Intel MPI is an Intel optimized version of runtime which provides MPI 4.0 Durnov standard compatible 
+solution. As part of the presentation audience will learn about the latest Intel MPI GPU centric features
+ and optimization techniques available in the latest releases plus information about other key features
+ for CPU currently available in the product.
+
+- **10:00 - Break**
+- **10:15 - intel® MPI and oneCCL in Heterogeneous Environment – part2**
+
+oneCCL is a runtime and API targeted on AI and integration with currently
+available main AI frameworks. Here audience will learn about communication
+stacks for popular AI frameworks and how oneCCL helps to get better scaling.
+
+- **11:00 - Profiling and analysing code performance with VTune**
+    - VTune main functionality (Hot spot analysis…) starting with CPU.
+    - Profiling Tools Interfaces for GPU
+    - Profile heterogenous SYCL/OpenMP Workloads with Intel VTune
+
+- **11:35  - Hands-on labs on VTune**
+    - Understand the basics of command line options in VTune Profiler to collect data and generate reports.
+    - Profiling GPU applications using Intel® VTune™ Profiler on Intel® DevCloud 
+    - Use performance models and analyze generated reports.
+
+- **12:30   - End of Day3 session**
+
+## Registration
+
+The course is free of charge and is offered by intel and facilitated by the NRIS. 
+**REGISTER [HERE](https://skjemaker.app.uib.no/view.php?id=17872594)**.
+
+### The Speaker
+- **Stephen Blair-Chappell** is an independent software consultant and is an
+Intel-certified oneAPI instructor. He was formerly the Technical Director at
+Bayncore where he led a team of consultants providing HPC and AI training on
+Intel Architecture. For 18 years he was a Technical Consulting Engineer at Intel
+helping their strategic customers in software optimization and code
+modernization. He is the author of the book "Parallel Programming with Intel
+Parallel Studio XE".
+
+### Special presenter
+- **Dmitry Durnov** (Intel MPI architect)
+
+### Practical Information
+
+This is an online course via zoom. Participants require access to a computer
+(not provided by the course organisers) with internet connectivity to participate 
+in the video meeting of the course (zoom). NRIS-Sigma2 users can use the cluster Saga for 
+any hands-on exercises assuming that usernames are provided while registering for the event.
+
+You can always contact us by sending an email to [support@nris.no](mailto:support@nris.no).
+
+If you want to receive further information about training events, and other announcements
+about IT resources and services for researchers, there are a couple of information channels
+ you can subscribe to:
+- users at University of Bergen and affiliated institutes: [register to hpcnews@uib.no](https://mailman.uib.no/listinfo/hpcnews)
+- users of Sigma2 services: [subscribe to Sigma2's newsletter](https://sigma2.us13.list-manage.com/subscribe?u=4fd109ad79a5dca6dde7e4997&id=59b164c7b6)
+
+
+
+
+