Welcome Room: room 303

Introduction to oneAPI and the new Intel Developer Cloud (IDC) infrastructure 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

Direct programming with oneAPI DPC++/SYCL 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

Hands-on labs on CPU/GPU programming with SYCL 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

Hands-on labs on CPU/GPU programming with SYCL (cont.) Room: room 303 Continue your learning journey and use CPU/GPU

Welcome Room: room 303

Intel oneAPI Librairies oneDPL, oneTBB, oneMKL Room: room 303 Intel oneAPI libraries (oneMKL) for HPC - with demos Performance optimized libraries for numerical simulations and other purposes

Compatibility Tool (CUDA / SYCL conversion) Room: room 303 Open-Source Compatibility tool for porting purposes (SYCLomatic) with demo Migration Cuda based GPU Applications to SYCL

Hands-on labs on CUDA to SYCL Compatibility Tool Room: room 303 Get your hands dirty with examples: • vecAdd • Rodinia NW

Profiling and analysing code performance with VTune 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

Application profiling for CPU and mixed hardware with Intel Advisor 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

Hands-on labs on VTune / Advisor 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

Welcome Room: room 303

Offloading C++ code to GPU with OpenMP Room: room 303

Transitioning from Ifort to IFX 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

Offloading with FORTRAN Code – with Demos Room: room 303 Automatic offloading using DO CONCURRENT Offloading using OpenMP 5.2 Offloading using oneMKL

Intel® MPI in Heterogenious Environment Room: room 303 Intel MPI functionalities for GPU

Hands-on labs on code optimisation 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

Hands-on labs on code optimisation (cont.) Room: room 303 To be defined – could be user-provided codes for an initial run