Visible to Intel only — GUID: GUID-DF42AA80-44B6-4350-8684-779DA85C06CD
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
Visible to Intel only — GUID: GUID-DF42AA80-44B6-4350-8684-779DA85C06CD
Using Libraries for GPU Offload
Several libraries are available with oneAPI toolkits that can simplify the programming process by providing specialized APIs for use in optimized applications. This section provides steps on using the libraries, including code samples, for application accelerations. Detailed information about each library, including the available APIs, is available in the main documentation for the specific library.