PDF AMD
In this work, we demonstrated the benefit of using Task Graphs to improve Performance while using CU Masking for resource partitioning to improve energy efficiency using the Winograd-Strassen Matrix Multiplication algorithm.
Key Details About Cu Masking.
As we can see from the illustration, Cu Masking has many fascinating aspects to explore.
We first characterize the overheads of CU masking and model co-location through carefully designed experiments on an AMD GPU. Based on these observations, we propose a lightweight runtime scheduler that achieves kernel-grain partitioning without substantial overhead, by creating pools of pre-allocated CU mask streams.
In order to support CU masking , ROCclr follows a slightly different code path when handling a HIP stream with a CU mask, shown on the right side of Figure 3 : it creates a separate HSA queue with the requested mask, and uses the new HSA queue exclusively on behalf of the single stream.
Understanding Cu Masking Before the Gallery
(a) Schematic diagrams of VFLG growth without Cu mask which shows a. For Cu Masking, this point helps readers notice the most relevant visual details before moving into the gallery.
Performance of CU-masking strategies for varying partition sizes. This note connects the source idea with the visuals in a simple, reader-friendly way.
AMD限制资源用量CU_MASK_cu masking amd-CSDN博客. It works as a short bridge between the article summary and the gallery section.
Looking at multiple sources also helps separate the main idea from small decorative details.
These notes are added so the page offers more than images and gives each visitor a clearer reason to keep reading.
