HSA编程模型(HSA Programming Model):HSA架构提供了一种统一的编程模型,使开发人员可以使用一致的API和编程语言(如C++)来编写并行计算应用程序。这样可以简化开发过程,提高代码可重用性,并充分利用CPU和GPU之间的并行计算能力。 总的来说,AMD HSA软件架构提供了一种统一的编程模型和硬件接口,使得CPU和GPU之间可
DMA引擎会在源和目标surfaces之间进行字节对齐。 2. Host Programming Model Description 本节描述主机CPU与图形控制器芯片通信的方式。 3. Push vs Pull Model 3.1 Push Model Push Model也被称为Programmed I/O(PIO)。在这个模型中、主机CPU通过PCI或AGP总线写入图形控制器芯片。也就是说,主机将命令信息“pushing...
This document is intended to introduce the reader to the overall scheduling architecture and is not meant to serve as a programming guide. AMD GPU ISAs Understanding the instruction-level capabilities of any processor is a worthwhile endeavour for any developer writing code for it, even if the in...
AMD Instinct GPU accelerators, built on AMD CDNA™ 3 architecture, offers Matrix Core Technologies and support for a broad range of precision capabilities.
AMD Node Memory Model Learn about coarse/fine grain memory, floating point (FP) hardware atomics in HIP, and view a preliminary performance study of course vs fine grain memory. Watch Video GPU Aware MPI with ROCm This presentation discusses Running GPU-ware MPI examples on the LUMI cloud an...
Micro engine scheduler (MES) firmware is responsible for the scheduling of the graphics and compute work on the AMD RDNA™ 3 GPUs. Is this you? Then you’ll find what you need related to programming our GPU architectures on this page!
are currently constrained by the programming model and communications overheads. “The good news is the Fusion System Architecture blows away both of these constraints,” he said. “Where we’re headed is the architected era. We make the GPU into a peer processor rather than a device,” he ...
has declared that Fusion, its flagship processor project whereby it has combined x86 and graphics processors, will be CPU and GPU agnostic. The announcement was made as part of a keynote at the Fusion Developers Summit, being held in Bellevue, Washington, by Phil Rogers, AMD Corporate Fellow....
Dive into kernel-level profiling of DeepseekV3 on SGLang—identify GPU bottlenecks and boost large language model performance using ROCm May 01, 2025 by Liz Li, Shekhar Pandey, Seungrok Jung, Andy Luo Boosting Llama 4 Inference Performance with AMD Instinct MI300X GPUs Learn how to boost yo...
NVIDIA: Their CUDA platform is a well-established ecosystem that supports a wide range of applications and frameworks. CUDA is a parallel computing platform and programming model that makes using GPUs for general-purpose computing fairly simple. For deep learning, NVIDIA cards are commonly used with...