There are points in time at which a well-known technology, which has been used and gradually improved for decades, reaches its physical limitations, forcing a shift towards dramatically different ...
A complete model-to-hardware workflow for training, quantizing, synthesizing, integrating, and evaluating a compact CNN accelerator on an FPGA-based SoC. This project implements an INT8 ...
Abstract: Convolutional networks (ConvNets) are biologically inspired hierarchical architectures that can be trained to perform a variety of detection, recognition and segmentation tasks. ConvNets ...
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Cygnus: A Heterogeneous Octa-Core RISC-V Vector Processor for Digital Signal Processing Applications
We introduce Cygnus, an energy-efficient octa-core RISC-V vector processor, compliant with the RISC-V vector extension (RVV) 1.0 specification, specifically designed for digital signal processing (DSP ...
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