  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 https://gitlab.com/tensorworld/pasta.
