Overall data path through the accelerator: Input A/B → FIFOs → Stream Controller → Systolic Array (NxN PEs) → Output C INT8 arithmetic reduces area and power consumption compared to floating point and ...
SAURIA is a Convolutional Neural Network (CNN) accelerator based on an output stationary (OS) systolic array with on-chip, on-the-fly convolution lowering, written entirely in SystemVerilog. The ...
Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
Abstract: Systolic array designs are gaining popularity due to their applications in hardware acceleration for ML computing, such as CNNs and transformers. Increasingly large ML models necessitate ...
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