Weightless Neural Networks for Efficient Edge Inference

no code implementations • 3 Mar 2022 • Zachary Susskind, Aman Arora, Igor Dantas Dos Santos Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araujo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvao Franca, Mauricio Breternitz Jr., Lizy K. John

We then demonstrate the viability of the BTHOWeN architecture by presenting an FPGA-based accelerator, and compare its latency and resource usage against similarly accurate quantized DNN accelerators, including Multi-Layer Perceptron (MLP) and convolutional models.

Edge-computing

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

no code implementations • 13 Sep 2021 • Zachary Susskind, Bryce Arden, Lizy K. John, Patrick Stockton, Eugene B. John

We find that symbolic models have less potential parallelism than traditional neural models due to complex control flow and low-operational-intensity operations, such as scalar multiplication and tensor addition.