Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...
This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis. The correctness of the CUDA kernels is guaranteed for any matrix ...
SciRS2 is a comprehensive scientific computing and AI/ML infrastructure in Rust, providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. The project aims ...
Abstract: The demand for high-speed matrix multiplication continues to grow due to recent developments in images processing, graphics processing, digital signal processing and communication via ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback