Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

Abstract: Systolic array accelerators, a key implementation platform for modern neural networks, are vulnerable to malicious attacks such as directed bit flips and fault injections. These attacks ...

Obtaining a geocoding api key marks the starting point for any location-based feature development. The process should be simple, but varies dramatically ...

AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...