  Specialized accelerators provide gains of performance and efficiency in
specific domains of applications. Sparse data structures or/and representations
exist in a wide range of applications. However, it is challenging to design
accelerators for sparse applications because no architecture or
performance-level analytic models are able to fully capture the spectrum of the
sparse data. Accelerator researchers rely on real execution to get precise
feedback for their designs. In this work, we present PYXIS, a performance
dataset for specialized accelerators on sparse data. PYXIS collects accelerator
designs and real execution performance statistics. Currently, there are 73.8 K
instances in PYXIS. PYXIS is open-source, and we are constantly growing PYXIS
with new accelerator designs and performance statistics. PYXIS can benefit
researchers in the fields of accelerator, architecture, performance, algorithm,
and many related topics.
