Titlebook: Data Orchestration in Deep Learning Accelerators; Tushar Krishna,Hyoukjun Kwon,Ananda Samajdar Book 2020 Springer Nature Switzerland AG 20

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Charlene Elliott,Josh Greenberg contain an array of hundreds of PEs. These accelerators aim to achieve high throughput by exploiting massive parallel computations over the PEs while keeping the cost-of-operation much lower than off-the-shelf components with the same compute budget. However, adding more compute elements in an acce

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978-3-031-00639-5Springer Nature Switzerland AG 2020

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Challenges in Vaccine CommunicationIn the previous chapters we have discussed the various crucial parts of building a neural network accelerator one by one. In this chapter we zoom out and conceptualize how all the pieces bind together and work as a synergistic system optimized for various design goals.

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Data Orchestration in Deep Learning Accelerators978-3-031-01767-4Series ISSN 1935-3235 Series E-ISSN 1935-3243