Optimizing Attention Decode on AMD MI450 GPUs with Gluon Kernels
Attention Decode on AMD MI450 GPUs: A Gluon Kernel Optimization Guide
I explore how agentic AI workloads shift performance bottlenecks to memory systems during LLM inference. Using the AMD Instinct MI450 GPU, I demonstrate how its new hardware features, like TDM and workgroup clusters, enable high-performance kernel design. By leveraging the Gluon DSL, we achieve 85% of peak HBM bandwidth for attention decode tasks.
As a result, the performance bottleneck shifts from compute units to the memory system.