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Introduction
Getting Started
Parallelization
Intel® Iris® Xe GPU Architecture
GPU Execution Model Overview
SYCL* Thread Mapping and GPU Occupancy
Kernels
Using Libraries for GPU Offload
Host/Device Memory, Buffer and USM
Host/Device Coordination
Using Multiple Heterogeneous Devices
Compilation
Optimizing Media Pipelines
OpenMP Offloading Tuning Guide
Debugging and Profiling
GPU Analysis with Intel® Graphics Performance Analyzers (Intel® GPA)
Reference
Terms and Conditions
Sub-groups and SIMD Vectorization
Removing Conditional Checks
Registerization and Avoid Register Spills
Shared Local Memory
Pointer Aliasing and the Restrict Directive
Synchronization among Threads in a Kernel
Considerations for Selecting Work-group Size
Reduction
Kernel Launch
Executing Multiple Kernels on the Device at the Same Time
Submitting Kernels to Multiple Queues
Avoid Redundant Queue Construction
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OpenMP Offloading Tuning Guide
Intel® LLVM-based C/C++ and Fortran compilers, icx, icpx, and ifx, support OpenMP offloading onto GPUs. When using OpenMP, the programmer inserts device directives in the code to direct the compiler to offload certain parts of the application onto the GPU. Offloading compute-intensive code can yield better performance.
This section covers various topics related to OpenMP offloading, and how to improve the performance of offloaded code.