IBM Spyre 团队解析 PyTorch 工作负载如何跑到 AI 加速器上
IBM 写的编译器拆解,讲清 PyTorch 代码怎么一步步变成 Spyre 加速器能跑的指令,搞硬件编译的人会很感兴趣。
IBM Spyre 团队发布博客,介绍连接 PyTorch 与 IBM Spyre 加速器的开源编译器技术。文中说明 KTIR 和 Dataflow Scheduler 如何把 PyTorch Inductor 在工作分配、内存放置和分块(tiling)上的决策,转换成 Spyre 上协调计算与数据搬运的 dataflow 管线。
How does a PyTorch workload become something an AI accelerator can actually execute?
In our latest blog, the @IBM Spyre team explores the open source compiler technology connecting PyTorch to IBM's Spyre accelerator, including how KTIR and the Dataflow Scheduler translate PyTorch Inductor’s decisions around work distribution, memory placement, and tiling into dataflow pipelines that coordinate computation and data movement on Spyre.
Read more: https://t.co/mHcvSDSwGW