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Tensor methods have gained increasingly attention from various applications,including machine learning, quantum chemistry, healthcare analytics, socialnetwork analysis, data mining, and signal processing, to name a few. Sparsetensors and their algorithms become critical to further improve the performanceof these methods and enhance the interpretability of their output. This workpresents a sparse tensor algorithm benchmark suite (PASTA) for single- andmulti-core CPUs. To the best of our knowledge, this is the first benchmarksuite for sparse tensor world. PASTA targets on: 1) helping application usersto evaluate different computer systems using its representative computationalworkloads; 2) providing insights to better utilize existed computerarchitecture and systems and inspiration for the future design. This benchmarksuite is publicly released https://gitlab.com/tensorworld/pasta.

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite