Hardware Acceleration Approach for KAN Via Algorithm-Hardware Co-Design


A new technical paper titled "Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference" was published by researchers at Georgia Tech, TSMC and National Tsing Hua University. Abstract "Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using ... » read more

Introduction To eFPGA Hardware


Intel builds processor chips and Arm provides processor cores to integrate into chips. Xilinx and Intel (nee Altera) build FPGAs and a range of new startups provide embedded FPGA (eFPGA) to integrate into chips: Achronix, Flex Logix, Menta and QuickLogic. As the diagram above shows, an FPGA chip is a core (the “fabric”) which is surrounded by various kinds of I/O including SERDES,... » read more

Tech Talk: eFPGA LUTs


Cheng Wang, Flex Logix's senior vice president of engineering, explains how to use lookup tables in embedded FPGAs and which number of inputs is best for which application. https://youtu.be/ScnIbCOLcP4 » read more