Most current HPC systems are heterogeneous and use accelerators. oneAPI/SYCL is a standardized and portable programming model adapted to heterogeneous computing. In this course we will provide an introduction to Intel's oneAPI implementation: Data Parallel C++ (DPC) with SYCL. SYCL code can run on any (Intel) x86 CPU and Intel based accelerator, but also other GPUs. The course will give an introduction into the SYCL programming method and parallelization and optimization strategies.
Flexible online course: Combination of self-study (with Codereckons.com) and two Q&A sessions (including one with Intel SW engineers)Organizer: HLRS, University of Stuttgart, Germany
Aug 18, 2025
Sep 26, 2025
Online (flexible)
English
Basic
Hardware Accelerators
Parallel Programming
C/C++
Code Optimization
GPU Programming
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Knowledge of C++11 or later is recommended while knowing C++17 makes SYCL2020 programming much easier.
Learn more about course curricula and content levels.
After this course, participants will:
The self-paced course includes lessons and exercises on
1: A quick introduction to SYCL
2: Our First SYCL Program
3: Managing SYCL Devices
4: Shared Memory, SYCL Buffers and Accessors
5: Kernel Management
6: SYCL Data Parallelism
7: Kernel Optimizations
8: Parallelization Strategies
9: Algorithms/Architecture Adequation
Each lesson concludes with a short quiz for you to validate your progress in SYCL. In addition, two Q&A sessions will be offered. The first about beginners' topics, the second about the more advanced topics. The Q&A sessions are scheduled for August 27 14:00 and September 16 14:00 via Zoom.
This course offers flexible learning, allowing you to learn at your own pace and access online course materials and cluster resources. Two online Q&A are planned to discuss the learning modules and to answer your questions. We also provide a communication channel that enable you to communicate with your peers, get help, as well as to share your experiences.
The course is divided into 9 learning units of about 2.5 hours, each with quizzes and exercises. Participants can learn the individual learning content on their own schedule. In addition, online Q&A sessions are offered on fixed dates.
High-Performance Computing Center (HLRS) issues participants a confirmation of attendance if they can proof that they finished all lessons.
Apply for this course via the button at the top of this page.
This course is offered in cooperation with Intel® and the self-paced learning materials are provided at https://codereckons.com/. By registering you explicitly consent that the necessary data (your name and e-mail address) is forwarded to the sponsor Intel® for the purpose of opening an account at https://codereckons.com/.
Registration closes on August 10, 2025 or when course capacity is reached.
This course is free of charge.
Lucas Jordan, phone +49 711 685-87206, training(at)hlrs.de
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.
See the training overview and the Supercomputing Academy pages.
June 16 - 17, 2025
Online
June 17 - 18, 2025
July 01 - 04, 2025
Hybrid Event - Stuttgart, Germany
July 09 - 10, 2025
October 21 - 22, 2025
November 10 - 14, 2025
November 25 - 28, 2025
