Visible to Intel only — GUID: GUID-B15F4A9C-2C82-4795-84AE-54DE0DE7E09B
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-B15F4A9C-2C82-4795-84AE-54DE0DE7E09B
Debugging and Profiling
Understanding the behavior of your system is critical to making informed decisions about optimization choices. Some tools like profilers, analyzers, or debuggers are full-featured. Other tools like interval timers, kernel timers, and print statements are lighter weight. But all of them serve an important purpose in the optimization process.
This section covers topics related to these tools’ use for software optimization.