10:10 - 10:30
Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX
Christie Alappat, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein
Erlangen Regional Computing Center, Germany
Nils Meyer, Tilo Wettig
University of Regensburg, Germany
The A64FX CPU powers the current #1 supercomputer on the Top500 list. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwidth rival accelerator devices. Generating efficient code for such a new architecture requires a good understanding of its performance features. Using these features, we construct the Execution-Cache-Memory (ECM) performance model for the A64FX processor in the FX700 supercomputer and validate it using streaming loops. We also identify architectural peculiarities and derive optimization hints. Applying the ECM model to sparse matrix-vector multiplication (SpMV), we motivate why the CRS matrix storage format is inappropriate and how the SELL-C-σ format with suitable code optimizations can achieve bandwidth saturation for SpMV.