oneAPI GPU optimisation guide
Guides|by Leanne Bevan|19 August 2022
Optimise your GPU
Most of the tasks that involve heavy computations take time and it becomes further time-consuming as the datasets get bigger and bigger. Optimising the GPU helps maximise bandwidth, optimise memory access, and minimise code divergence.
Follow the link below to find tips on how you can get the best GPU performance for the oneAPI programmes.
What’s included?
The guide includes:
- Introduction
- Getting Started
- Parallelisation
- 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
- Optimising Media Pipelines
- OpenMP Offloading Tuning Guide
- Debugging and Profiling
- GPU Analysis with Intel® Graphics Performance Analyzers (Intel® GPA)
- Reference
- Terms and Conditions
Read the guide in full
You can read the oneAPI GPU optimisation guide in full here.
Intel oneAPI Toolkits
If you’re looking to purchase the Intel oneAPI Toolkits with support, look no further. Grey Matter is an Intel Software Elite Reseller.
The Intel oneAPI Toolkits accelerate data-centric workloads by developing high-performance applications that scale across a variety of architectures (CPUs, GPUs, FPGAs) using a single programming model.
View information about the Toolkits on our Intel page, or fill in the form below and one of our licensing team will be in touch.
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