Alappat C, Laukemann J, Gruber T, Hager G, Wellein G, Meyer N, Wettig T (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 1-7
Conference Proceedings Title: Proceedings of PMBS 2020: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems
ISBN: 9780738110486
DOI: 10.1109/PMBS51919.2020.00006
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.
APA:
Alappat, C., Laukemann, J., Gruber, T., Hager, G., Wellein, G., Meyer, N., & Wettig, T. (2020). Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX. In Proceedings of PMBS 2020: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (pp. 1-7). Institute of Electrical and Electronics Engineers Inc..
MLA:
Alappat, Christie, et al. "Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX." Proceedings of the 2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, PMBS 2020 Institute of Electrical and Electronics Engineers Inc., 2020. 1-7.
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