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Login
Cyfronet - Intel oneAPI workshop
from
Tuesday, 24 October 2023 (09:30)
to
Thursday, 26 October 2023 (17:00)
Monday, 23 October 2023
Tuesday, 24 October 2023
09:30
Welcome
Welcome
09:30 - 09:40
Room: room 303
09:40
Introduction to oneAPI and the new Intel Developer Cloud (IDC) infrastructure
Introduction to oneAPI and the new Intel Developer Cloud (IDC) infrastructure
09:40 - 10:30
Room: room 303
Hardware Evolution: From CPUs to heterogenous HW (GPUs, FPGAs) programming Concept and purpose for the oneAPI Standardization initiative Intel’s oneAPI Solutions – Toolkits with Compilers, libs, analysis, and migration tools Transition from Intel Parallel Studio XE to Intel oneAPI toolkits IDC: service platform for developing with the latest Intel HW & SW
10:30
Coffee break
Coffee break
10:30 - 10:50
Room: room 303
10:50
Direct programming with oneAPI DPC++/SYCL
Direct programming with oneAPI DPC++/SYCL
10:50 - 12:30
Room: room 303
Intro to heterogenous programming model with SYCL 2020 SYCL features and examples: • “Hello World” Example: buffer, accessor, queue, basic and nd-range kernels • Device Selection to offload kernel workloads • Execution Model • Compilation and Execution Flow • Memory Model; Buffers, Unified Shared Memory (USM) • Performance optimizations with SYCL features
12:30
Lunch break (lunch not provided)
Lunch break (lunch not provided)
12:30 - 13:30
Room: room 303
13:30
Hands-on labs on CPU/GPU programming with SYCL
Hands-on labs on CPU/GPU programming with SYCL
13:30 - 15:00
Room: room 303
Start Working with IDC, explore SYCL Understand the SYCL* language and programming model Use device selection to offload kernel workloads Decide when to use basic parallel kernels and ND Range Kernels Create a host accessor Build your first SYCL application
15:00
Coffee break
Coffee break
15:00 - 15:15
Room: room 303
15:15
Hands-on labs on CPU/GPU programming with SYCL (cont.)
Hands-on labs on CPU/GPU programming with SYCL (cont.)
15:15 - 17:00
Room: room 303
Continue your learning journey and use CPU/GPU
Wednesday, 25 October 2023
09:30
Welcome
Welcome
09:30 - 09:40
Room: room 303
09:40
Intel oneAPI Librairies oneDPL, oneTBB, oneMKL
Intel oneAPI Librairies oneDPL, oneTBB, oneMKL
09:40 - 10:30
Room: room 303
Intel oneAPI libraries (oneMKL) for HPC - with demos Performance optimized libraries for numerical simulations and other purposes
10:30
Coffee break
Coffee break
10:30 - 10:50
Room: room 303
10:50
Compatibility Tool (CUDA / SYCL conversion)
Compatibility Tool (CUDA / SYCL conversion)
10:50 - 11:20
Room: room 303
Open-Source Compatibility tool for porting purposes (SYCLomatic) with demo Migration Cuda based GPU Applications to SYCL
11:20
Hands-on labs on CUDA to SYCL Compatibility Tool
Hands-on labs on CUDA to SYCL Compatibility Tool
11:20 - 12:30
Room: room 303
Get your hands dirty with examples: • vecAdd • Rodinia NW
12:30
Lunch break (lunch not provided)
Lunch break (lunch not provided)
12:30 - 13:30
Room: room 303
13:30
Profiling and analysing code performance with VTune
Profiling and analysing code performance with VTune
13:30 - 14:30
Room: room 303
VTune main functionality (Hot spot analysis…) starting with CPU Profiling Tools Interfaces for GPU Profile heterogenous SYCL/OpenMP Workloads with Intel VTune
14:30
Application profiling for CPU and mixed hardware with Intel Advisor
Application profiling for CPU and mixed hardware with Intel Advisor
14:30 - 15:30
Room: room 303
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
15:30
Coffee break
Coffee break
15:30 - 15:45
Room: room 303
15:45
Hands-on labs on VTune / Advisor
Hands-on labs on VTune / Advisor
15:45 - 17:00
Room: room 303
Understand the basics of command line options in VTune Profiler to collect data and generate reports Profile a SYCL* application using Intel® VTune™ Profiler on Intel® DevCloud Run Offload Advisor using command line syntax Use performance models and analyze generated reports See how Offload Advisor¹ identifies and ranks parallelization opportunities for offload
Thursday, 26 October 2023
09:30
Welcome
Welcome
09:30 - 09:40
Room: room 303
09:40
Offloading C++ code to GPU with OpenMP
Offloading C++ code to GPU with OpenMP
09:40 - 10:30
Room: room 303
10:30
Coffee break
Coffee break
10:30 - 10:45
Room: room 303
10:45
Transitioning from Ifort to IFX
Transitioning from Ifort to IFX
10:45 - 11:10
Room: room 303
Intel Fortran Compiler provides full Fortran language standards support up through Fortran 2018 and expands OpenMP GPU offload support, speeding development of standards-compliant applications
11:10
Offloading with FORTRAN Code – with Demos
Offloading with FORTRAN Code – with Demos
11:10 - 12:00
Room: room 303
Automatic offloading using DO CONCURRENT Offloading using OpenMP 5.2 Offloading using oneMKL
12:00
Intel® MPI in Heterogenious Environment
Intel® MPI in Heterogenious Environment
12:00 - 12:30
Room: room 303
Intel MPI functionalities for GPU
12:30
Lunch break (lunch not provided)
Lunch break (lunch not provided)
12:30 - 13:30
Room: room 303
13:30
Hands-on labs on code optimisation
Hands-on labs on code optimisation
13:30 - 15:00
Room: room 303
Use OpenMP Offload directives to execute code on GPU Use OpenMP constructs to effectively manage data transfers to and from the device
15:00
Coffee break
Coffee break
15:00 - 15:15
Room: room 303
15:15
Hands-on labs on code optimisation (cont.)
Hands-on labs on code optimisation (cont.)
15:15 - 17:00
Room: room 303
To be defined – could be user-provided codes for an initial run