XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. (arXiv:2211.08675v1 [cs.LG])

Real-time multi-model multi-task (MMMT) workloads, a new form of deep
learning inference workloads, are emerging for applications areas like extended
reality (XR) to support metaverse use cases. These workloads combine user
interactivity with computationally complex machine learning (ML) activities.
Compared to standard ML applications, these ML workloads present unique
difficulties and constraints. Real-time MMMT workloads impose heterogeneity and
concurrency requirements on future ML systems and devices, necessitating the
development of new capabilities. This paper begins with a discussion of the …

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