Höchstleistungsrechenzentrum Stuttgart: Introduction to oneAPI, SYCL2020 and OpenMP offloading

Prerequisites and content levels

Good knowlegde any of C/C++/Fortran and familiarity with usual OpenMP programming is sufficient for the OpenMP part. For Data Parallel C++/SYCL knowlegde of C++11 or later is recommended (C++17 very much faciliates SYCL2020 programming).

Content levels

Basic: 6:35 hours
Intermediate: 4:25 hours

Learn more about course curricula and content levels.

Instructors

Intel staff.

Learning outcomes

After this course, participants will:

be familiar with the oneAPI programming model,
have an overview over DPC++/SYCL programming,
have gained knowledge about fundamental OpenMP offloading,
have an overview over oneAPI libraries (oneMKL, ...),
basic knowledge about profiling and performance analysis,
basic knowlegde on (dynamical) debugging of programms using the oneAPI programming model,
be aware how Intel's Open Source Compatibility tool can help to migrate CUDA to SYCL code.

Agenda

The preliminary agenda is as follows. All times are CEST.

Day 1
Start	End
8:45	9:00	Drop in to Zoom
09:00	09:10	Welcome and Introduction to Day 1
09:10	09:20	oneAPI – Introduction to a mixed Architecture Development Environment - Motivation and oneAPI Standardization - Intel’s oneAPI Toolkits Portfolio and Components - Intel oneAPI plug-ins for Nvidia and AMD hardware ( CPU and GPUs)
09:20	10:10	Direct programming with oneAPI Compilers (Part 1) – with Demos - Intro to heterogeneous programming model with SYCL 2020 - SYCL features and examples o “Hello World” Example o Device Selection o Execution Model
10:10	10:25	Break
10:25	11:15	Direct programming with oneAPI Compilers (Part 2) – with Demos o Compilation and Execution Flow o Memory Model; Buffers, Unified Shared Memory (USM) o Performance optimizations with SYCL features
11:15	11:30	Break
11:30	12:30	oneAPI Case Study – GROMACS
12:30	12:40	Introduction to the Intel Tiber Developer Cloud
12:40	13:00	Instructions on lab exercises (direct programming with SYCL using Intel oneAPI compilers)
13:00	14:00	Lunch break
14:00	14:50	Programming for AI workloads with SW dev tools powered by oneAPI - Part 1 AI Frameworks (IDP, PyTorch, TensorFlow) oneDNN oneCCL
14:50	15:00	Break
15:00	16:00	Programming for AI workloads with SW dev tools powered by oneAPI - Part 2 SYCLomatic Code Migration Tool (30 minutes) How to Compile SYCL Kernels Using PyTorch Migrating AI Workload from CUDA to SYCL Demo: llama.cpp code migration

Day 2
Start	End
8:45	9:00	Drop in to Zoom
9:00	9:05	Welcome and Introduction to Day 2
09:05	09:55	Intel OpenMP for Offloading for Fortran – with Demos - Parallelizing heterogeneous applications with OpenMP 5.2
09:55	10:00	Break
10:00	10:35	Intel oneAPI libraries (oneMKL) for HPC - with demos - Performance optimized libraries for numerical simulations and other purposes
10:35	11:15	Portable SYCL Code Using oneMKL on AMD, Intel, and Nvidia GPUs
11:15	11:30	Break
11:30	12:00	Intel Debugging Tools for heterogeneous programming (CPU, GPU) - with demos
12:00	12:30	Programming for Distributed HPC Systems using Intel MPI
12:30	13:30	Lunch break
13:30	14:45	Self-paced hands-on with Intel technical consultancy and support via Slack
14:45	15:15	Break
15:15	16:00	Self-paced hands-on with Intel technical consultancy and support via Slack

Day 3
Start	End
8:45	9:00	Drop in to Zoom
9:00	9:05	Welcome and Introduction to Day 3
9:05	10:05	Application profiling for CPU and/or mixed hardware with the Intel® VTune™ Profiler with Demos
10:05	10:15	Break
10:15	11:25	Application profiling for CPU and/ or mixed hardware with the Intel® VTune™ Profiler with Demos
11:25	11:35	Break
11:35	12:05	Intel® VTune™ Profiler Examples from Cookbook
12:05	12:10	Break
12:10	12:40	Application profiling for CPU and mixed hardware with the Intel® Advisor™ with Demos Intel® Advisor™ Roofline for application performance anaylsis
12:40	12:50	Intructions on lab exercises
12:50	13:00	Questions and Answers - Wrap up
13:00	14:00	Lunch break
14:00	15:00	Self-paced hands-on with TCE support via Slack
15:00	15:10	Break
15:10	16:00	Self-paced hands-on with TCE support via Slack

Exercises

During the lectures in the morning only demonstrations will be shown. However, we will also show how to access Intel's DevCloud where participants can explore and work on the examples given themselves in the afternoon. Additionally, Intel will offer support to a limited number of participants.

Registration information

Register via the button at the top of this page.
We encourage you to register to the waiting list if the course is full. Places might become available.

Please be aware that the talks and Q'n'A sessions will be recorded. You declare that you are aware of and consent to the recording by registering.

Registration closes on September 8, 2024 (extended registration phase).

Late registrations after that date are still possible according to the course capacity.

Fees

This course is free of charge.

Our course fee includes coffee breaks (in classroom courses only).

Contact

Tobias Haas phone 0711 685 87223, training(at)hlrs.de

HLRS Training Collaborations in HPC

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.

Further courses

See the training overview and the Supercomputing Academy pages.