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- research-articleDecember 2019
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors
AbstractSparse matrix-matrix multiplication (SpGEMM) is a computational primitive that is widely used in areas ranging from traditional numerical applications to recent big data analysis and machine learning. Although many SpGEMM algorithms have been ...
- research-articleAugust 2018
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures
ICPP Workshops '18: Workshop Proceedings of the 47th International Conference on Parallel ProcessingArticle No.: 34, Pages 1–10https://doi.org/10.1145/3229710.3229720Sparse matrix-matrix multiplication (SpGEMM) is a computational primitive that is widely used in areas ranging from traditional numerical applications to recent big data analysis and machine learning. Although many SpGEMM algorithms have been proposed, ...
- research-articleApril 2017
P3ARSEC: towards parallel patterns benchmarking
SAC '17: Proceedings of the Symposium on Applied ComputingPages 1582–1589https://doi.org/10.1145/3019612.3019745High-level parallel programming is a de-facto standard approach to develop parallel software with reduced time to development. High-level abstractions are provided by existing frameworks as pragma-based annotations in the source code, or through pre-...
