What do you get when you take 8,192 CH570 MCUs, put them on custom PCBs, and write firmware for this interconnected gaggle of cores? In the case of [bitluni]’s project, you get something that’s ...
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SK hynix and TetraMem collaborate on experimental chip to bolster edge AI energy efficiency
SK hynix, TetraMem, and researchers from the University of Southern California have developed a memristor-based in-memory computing (IMC) system-on-chip (SoC) for AI edge devices. The device is ...
This is not an officially supported Google product. ruy is a matrix multiplication library. Its focus is to cover the matrix multiplication needs of neural network inference engines. Its initial user ...
Abstract: General Matrix Multiplication (GEMM) is a key subprogram in high-performance computing (HPC) and deep learning workloads. With the rising significance of power and energy consumption in HPC ...
Abstract: Transformer model performs outstandingly in various tasks involving artificial intelligence. In this work, we propose a hybrid-RAM Transformer accelerator (HRAMTran) utilizing ...
A mathematician at Anthropic says he and Claude Fable 5 have taken down one of the oldest standing problems in algebraic geometry, ...
This repository contains the source code for a GEMM & deep learning hardware accelerator system used to validate proposed systolic array hardware architectures that implement proposed or ...
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