Fine-grained accelerators for sparse machine learning workloads

@article{Mishra2017FinegrainedAF,
  title={Fine-grained accelerators for sparse machine learning workloads},
  author={Asit K. Mishra and Eriko Nurvitadhi and Ganesh Venkatesh and Jonathan Pearce and Debbie Marr},
  journal={2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC)},
  year={2017},
  pages={635-640}
}
Text analytics applications using machine learning techniques have grown in importance with ever increasing amount of data being generated from web-scale applications, social media and digital repositories. Apart from being large in size, these generated data are often unstructured and are heavily sparse in nature. The performance of these applications on current systems is hampered by hard to predict branches and low compute-per-byte ratio. This paper proposes a set of fine-grained… CONTINUE READING

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