It may be used in devices that target machine learning applications to speed-up computation and improve efficiency. While the hardware specifications may not be superior to similar products in the market, we integrate it with a RISC-V core and publish it as open source, while most existing products are closed-source and work with closed ISAs.
SAURIA (Systolic Array tensor Unit for aRtificial Intelligence Acceleration) is a CNN (Convolutional Neural Network) accelerator that efficiently executes heavy computations needed for neural network algorithms, such as 2D convolutions and general matrix-matrix multiplications. The accelerator is meant to be loosely coupled to a host CPU, which must manage its local memories (fetch input data and extract results) and configure its execution through a memory-mapped interface. Once the host has prepared and started the execution, SAURIA will perform the convolution independently, and raise an interrupt upon full completion.
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License:
Solderpad Hardware License (Version 2.1)
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