PASTA : a parallel sparse tensor algorithm benchmark suite
CCF Transactions on High Performance Computing(2019)
摘要
Tensor methods have gained increasingly attention from various applications, including machine learning, quantum chemistry, healthcare analytics, social network analysis, data mining, and signal processing, to name a few. Sparse tensors and their algorithms become critical to further improve the performance of these methods and enhance the interpretability of their output. This work presents a sparse tensor algorithm benchmark suite ( PASTA ) for single- and multi-core CPUs. To the best of our knowledge, this is the first benchmark suite for sparse tensor world. PASTA targets on: (1) helping application users to evaluate different computer systems using its representative computational workloads; (2) providing insights to better utilize existed computer architecture and systems and inspiration for the future design. This benchmark suite is publicly released at https://gitlab.com/tensorworld/pasta , under version 0.1.0.
更多查看译文
关键词
Sparse tensor,Tensor methods,Benchmarking,High performance computing,Sparsity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要