  This whitepaper proposes the design and adoption of a new generation of
Tensor Processing Unit which has the performance of Google's TPU, yet performs
operations on wide precision data. The new generation TPU is made possible by
implementing arithmetic circuits which compute using a new general purpose,
fractional arithmetic based on the residue number system.
